[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong match on solution architecture, end-to-end automation and finance/quant domain experience with clear evidence of self-teaching and production delivery; however the role expects GCP (BigQuery, GKE, Pub/Sub, Dataflow) + Java ecosystem (Java SE21, JUnit, Mockito, JMeter) which are not demonstrated. Those platform and language gaps reduce the fit despite strong systems and domain alignment. **Strengths:** - Solution Architecture & governance (proven leadership as Systems Architect / Head of Engineering) - End-to-end automation and operationalization (ERP cleansing, automated procurement workflows) - Finance/Quant domain knowledge and production trading systems **Missing Required:** Java SE 21, GKE, BigQuery, Pub/Sub, Cloud Dataflow, JUnit/Mockito/JMeter (Java testing/perf tools)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating extensive experience in project leadership, strategic analysis, financial management, and deep expertise in supply chain and systems architecture. Their career trajectory and 'fast learner' attributes are highly valuable for a role focused on expansion projects in logistics. **Strengths:** - Strong Project Management & Leadership in Operations/Logistics - Strategic & Financial Acumen for Expansion Projects - Deep Expertise in Supply Chain & Systems Architecture

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate has strong supply chain analytics experience, advanced Excel skills, and a proven record of building data-driven systems for procurement and inventory. However, there is no direct evidence of hands-on Power BI, DAX, or Power Query experience, though adjacent skills in data modeling, reporting, and stakeholder engagement are present. SQL/database and cloud data platform experience are not explicitly demonstrated, but the candidate's fast learner profile and technical trajectory partially mitigate these gaps. **Strengths:** - Supply chain analytics expertise - Automation and reporting system design - Stakeholder and business communication **Missing Required:** 5–7 years of hands-on Power BI development, DAX proficiency, Power Query proficiency, Cloud data platform experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and project leadership capabilities, alongside a proven track record as a fast learner. However, the role's core requirements for extensive commercial experience with 3D web libraries (Three.js, R3F, Babylon.js), graphics math, expert-level JavaScript/TypeScript, React/Next.js, Node.js, and Firebase are largely absent from their resume, representing critical domain gaps. **Critical Gaps:** - Extensive commercial experience with 3D Web Libraries (Three.js/Babylon.js/R3F) - Solid understanding of Graphics Math & Geometry (Linear Algebra, Raycasting) **Strengths:** - Strong systems thinking and ability to build production systems from scratch. - Proven 'Fast Learner' ability with a track record of self-teaching complex technical domains. - Extensive experience in operations, process automation, and data integrity. **Missing Required:** Expert JavaScript/TypeScript (5+ years), Firebase (Firestore, Cloud Functions, Authentication, Hosting, Storage), React/Next.js, Node.js

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-5.1] O candidato é sênior em engenharia de sistemas, operações e supply chain, enquanto a vaga é um estágio focado em rotinas de RH (recrutamento, admissão, desligamento, endomarketing), com exigência explícita de estar cursando graduação em RH/Psicologia/Administração. Apesar de possuir organização, comunicação com liderança e forte capacidade analítica (valores úteis em RH), há descompasso de carreira e ausência de experiência/ formação específica em Recursos Humanos, além de não atender ao critério de estagiário. Isso gera desclassificação por filtro rígido, mesmo com potencial de aprendizagem rápida. **Critical Gaps:** - Domínio principal em sistemas/engenharia/operations em vez de Recursos Humanos generalista - Ausência de atuação prática em recrutamento, admissão, desligamento e endomarketing - Perfil de profissional pleno/sênior e fundador, não alinhado a estágio operacional de RH **Strengths:** - Alta capacidade analítica e de automação de processos, útil para organizar controles internos de RH - Experiência em organização de dados, saneamento de cadastros e confiabilidade de informação - Interface frequente com liderança e stakeholders de negócio, indicando boa comunicação e clareza em reporting **Missing Required:** Ensino superior cursando em Recursos Humanos, Psicologia, Administração ou áreas correlatas, Experiência ou, ao menos, exposição prática a rotinas de RH (atração e seleção, admissão, desligamento), Interesse explícito e trajetória direcionada para carreira em Recursos Humanos

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate has strong systems thinking, automation expertise, and proven self-learning capability with AI infrastructure. However, this role requires a communication/education professional with instructional design, content creation, and pedagogical skills—domains the candidate has not demonstrated. The technical skills (AI, automation) are adjacent but not sufficient without the core educational content development experience. **Critical Gaps:** - Educational content development - candidate's background is operations/systems, not communication/education - Instructional design experience - no evidence of creating learning journeys or courses - Content writing for education - background is technical documentation, not didactic content **Strengths:** - AI First mindset with hands-on LLM experience aligns with company's AI-first value - Proven continuous learner (MIT MicroMasters, self-taught AI) matches learning culture - Systems architect能力 to translate strategy into execution applicable to instructional planning **Missing Required:** Communication/Journalism/Instructional Design degree (has Mechatronics Engineering), Previous experience in corporate education or EdTech companies, Authoring tools experience (Hands-on, etc.), Course structuring and instructional scripting

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] Candidate demonstrates exceptional operational, process improvement, and data management skills highly relevant to the role. While specific tourism and car rental reservation experience is not explicit, his proven track record as a fast learner and builder of complex, automation-first systems strongly infers capability to quickly adapt. His deep AI infrastructure knowledge far exceeds the requirement for basic AI tool usage. **Strengths:** - Exceptional operational and process improvement expertise, particularly with data quality and automation. - Proven ability to build and manage complex systems autonomously, demonstrating strong systems thinking and problem-solving skills. - Advanced understanding of AI infrastructure, paired with a robust 'fast learner' profile and strong communication skills. **Missing Required:** Tourism operations experience, Car rental and activity reservation management

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong systems architecture, automation, and data management expertise, with clear evidence of rapid learning and entrepreneurial drive. However, a significant critical gap exists in the primary required programming language (PHP), with no demonstrable experience in modern PHP, Laravel, or Symfony, making this a poor fit for a developer role heavily reliant on this specific technology stack. **Critical Gaps:** - PHP (core programming language for developer role) **Strengths:** - Systems Architecture & Technical Leadership - Automation & Data Management Expertise - Rapid Learning & Entrepreneurial Drive

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong technical skills in Python for automation and system building, coupled with excellent problem-solving abilities and a proven track record as a fast learner. However, a critical gap exists in the required specialized electrical engineering domain experience (3+ years in specific sub-domains) and explicit proficiency with scientific Python libraries (NumPy, Pandas, SciPy) for numerical validation within an EE context. **Critical Gaps:** - 3+ years professional or advanced academic experience in specified Electrical Engineering sub-domains. **Strengths:** - Proven ability to build and automate complex systems, implying strong Python skills. - Exceptional problem-solving, analytical mindset, and self-taught capabilities. - Clear career progression towards technical and AI infrastructure roles. **Missing Required:** Specialized Electrical Engineering domain experience, Proficiency with NumPy, Pandas, SciPy for numerical validation in an EE context

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5.1] You have a strong analytical, systems-architecture, and automation background with proven self-learning and excellent English, but the role is explicitly for a senior full‑stack engineer specialized in Node.js/TypeScript, React, and AWS serverless, which are not evidenced in your profile. Your experience is much more operations, finance/supply chain, and tooling/automation-focused than day‑to‑day software engineering in the JavaScript/AWS stack, creating a major domain mismatch despite solid technical aptitude. **Critical Gaps:** - No demonstrated professional experience with Node.js/TypeScript full-stack development despite it being the core requirement for the role. - No demonstrated experience building production applications on AWS serverless (Lambda, API Gateway, SQS, SNS, DynamoDB) which is central to this position. - No proven React/front-end engineering experience, including state management libraries, even though the role expects strong frontend skills. **Strengths:** - Strong systems-thinking and operations/analytics background, with a track record of turning messy processes into structured, measurable systems. - Proven ability to self-teach complex technical domains quickly (trading algorithms, automation-first workflows, ATS-style tooling). - Excellent English (C2) and strong communication skills with executives and cross-functional stakeholders, fitting well with remote, collaborative environments. **Missing Required:** 7+ years of professional software development specifically focused on Node.js and TypeScript., Proven experience building full-stack applications using React and TypeScript., Solid experience designing and operating REST and/or GraphQL APIs in production., Hands-on experience with AWS serverless services (Lambda, API Gateway, SQS, SNS, DynamoDB, S3, CloudFront, Cognito)., Strong knowledge and hands-on use of event-driven architectures in production environments., Advanced experience with DynamoDB, including single-table design and key strategies., Experience supporting hybrid architectures coexisting with legacy SQL-based systems., Hands-on experience provisioning infrastructure using AWS CDK or similar IaC tools., Experience building and maintaining CI/CD pipelines (preferably GitHub Actions)., Strong frontend skills with modern state management patterns (React Query, Redux, or Zustand).

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] This is a POOR FIT for a Senior Backend Developer role requiring Node.js/NestJS expertise. The candidate has strong systems architecture, operations, and supply chain experience but zero demonstrated backend development experience. While the resume shows excellent problem-solving and technical thinking (automation systems, data integrity work, rapid prototyping), there's no evidence of: writing production APIs, working with Node.js/TypeScript, database development, or modern backend frameworks. The 'rapid prototyping' mentioned appears to be scraping/tracking tools, not enterprise API development. This represents a critical domain gap—the candidate would need 1-2 years of focused backend training to meet senior-level expectations. **Critical Gaps:** - Backend development experience - candidate has operations/systems architecture background, not software engineering - No demonstrated experience writing production APIs or backend services - No modern web framework experience (NestJS, Express, etc.) - No evidence of working in software development teams or code review culture **Strengths:** - Strong systems thinking and architecture design from operations perspective - Proven ability to build automated workflows and data systems (e-commerce inventory automation) - Excellent stakeholder management and technical communication skills **Missing Required:** Node.js professional experience, NestJS framework knowledge, TypeScript proficiency, Database development (SQL/NoSQL), Automated testing practices (Jest), Authentication/authorization implementation, Message queue systems, Git workflow in development teams

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems thinking, automation, and operations experience, with a proven record of building scalable business processes and technical solutions. However, there is no direct evidence of hands-on software engineering with Golang, React, or modern JS frameworks, nor explicit experience with AWS, Kubernetes, or large-scale production web apps. The candidate's fast-learner profile, automation-first mindset, and experience in finance/crypto domains are valuable, but critical gaps remain in required full stack and cloud-native skills. **Critical Gaps:** - No demonstrated full stack web development with modern JS frameworks - No direct experience with Go or cloud-native microservices **Strengths:** - Automation-first systems design - Operations and data integrity in finance/supply chain - Fast learner with proven upskilling in new domains **Missing Required:** 3+ years of software engineering with web apps and user-facing features, Proficiency in Go, Experience with scalable, high-traffic platforms

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong match, demonstrating proficiency across nearly all required technical skills through inferred expertise from complex project work (e.g., self-hosted AI infrastructure, algorithmic trading, e-commerce automation). Their strong career trajectory and 'fast learner' attributes significantly enhance their profile, making them a highly adaptable and capable candidate. The few missing nice-to-have skills and one specific required skill (CMS) are minor relative to their extensive demonstrated capabilities. **Strengths:** - Extensive experience in systems architecture and automation with proven impact at scale. - Exceptional ability to self-teach and apply complex technical concepts (e.g., AI infrastructure, algorithmic trading). - Strong business-technical bridge capabilities, translating strategic vision into executable technical solutions. **Missing Required:** Sistemas de Gerenciamento de Conteúdo (CMS)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate exhibits strong analytical and systems-thinking capabilities, coupled with a proven fast-learner track record relevant for product understanding. However, the application fails a critical hard filter due to the absence of required Spanish fluency, and core customer success experience is not explicitly demonstrated. **Critical Gaps:** - Missing fluent Spanish (Hard Filter) **Strengths:** - Exceptional analytical and data interpretation skills, highly relevant for performance data analysis. - Strong background in systems thinking, automation, and operational efficiency. - Proven fast learner with a track record of continuous skill acquisition and adaptability. **Missing Required:** 3+ years of relevant experience in Customer Success, Account Management, or Client Services, Fluent in Spanish

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] Candidate has strong systems architecture, automation, and operations experience with demonstrated self-teaching ability (built AI-powered job scraper). However, lacks hands-on production Python development, AI/ML framework experience (TensorFlow/PyTorch), and backend API development at scale. The resume shows operations/procurement background transitioning toward technical work, but missing 3-5+ years of senior Python development experience required for this role. **Critical Gaps:** - Senior Python backend development experience - candidate's background is operations/systems/automation, not software engineering - AI/ML framework hands-on experience (TensorFlow/PyTorch/scikit-learn) - no evidence in resume - Production AI/ML model development and deployment - not demonstrated **Strengths:** - English C2/Fluent (meets Advanced English requirement) - Proven fast learner with self-taught technical progression (Finance → AI infrastructure) - Strong stakeholder communication and requirements translation (Product/Engineering collaboration fit) **Missing Required:** Strong production Python experience (backend services/APIs), AI/ML libraries and frameworks (TensorFlow, PyTorch, scikit-learn), Hands-on AI/ML experience in production, Structured/unstructured data processing at scale, Agentic AI frameworks exposure, AI monitoring and evaluation processes

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] Candidate shows strong systems thinking, stakeholder management, and process optimization skills with relevant supply chain experience. However, critical gaps exist in required technical tools (SQL, Power BI/Tableau, cloud platforms) and lacks the minimum 5 years in a dedicated Business Analyst role. The candidate's trajectory is toward technical infrastructure/automation rather than analytics-focused business analysis. **Critical Gaps:** - No demonstrated SQL proficiency (required hard skill) - No experience with BI visualization tools (Power BI/Tableau - required) - No cloud platform experience (Azure/AWS/GCP - required) **Strengths:** - Based in São Paulo, Brazil (meets geographic requirement) - English C2/Fluent (exceeds B2 requirement) - Strong supply chain and operations background with MITx Supply Chain MicroMasters - Proven stakeholder management with executives and technical teams - Systems thinking with demonstrated ability to turn messy processes into measurable systems **Missing Required:** 5-7 years dedicated Business Analyst experience (has operations/systems roles instead), SQL proficiency, Power BI or Tableau, Cloud platform experience, Formal Agile/Scrum experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptional match, demonstrating deep operational leadership, experience building and scaling systems from scratch, and a strong entrepreneurial mindset as a founder. Their career trajectory and fast-learner attributes perfectly align with the high-autonomy, results-driven nature of this COO-level co-founder role. **Strengths:** - Proven Entrepreneurial & Operational Leadership as a Founder/Head of Operations. - Demonstrated ability to build systems, KPIs, and drive execution from zero to scale. - Exceptional autonomy, fast-paced delivery, and results-oriented mindset.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong capabilities in systems architecture, automation, and problem-solving, with significant inferred skills in data management, cloud concepts, and version control. However, there are critical and fundamental gaps in required technologies such as Java and Spring Framework, which are central to this backend role, making this a poor fit despite a strong learning trajectory. **Critical Gaps:** - Java 8+ - Spring Framework 2+ **Strengths:** - Strong business-technical interface, translating strategic vision into executable technical solutions. - Demonstrated fast learner with a proven track record of self-teaching and rapid system development. - Extensive experience in systems architecture, automation, and operational efficiency across diverse domains. **Missing Required:** Event Sourcing, Event Driven Architecture, Kafka, RabbitMQ, DDD, Design Patterns, SOLID, AWS (SQS, Glue, S3 specific application experience), Terraform

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, automation-first mindset, and proven ability to self-learn complex technologies (trading bots, ERP systems, e-commerce automation). However, this role requires deep DevSecOps/infrastructure expertise (Azure, GCP, Kubernetes, Terraform, Docker, CI/CD pipelines) that the candidate has not demonstrated. The resume shows operations/business automation rather than cloud infrastructure engineering. Critical gaps exist in core required technical skills. **Critical Gaps:** - Cloud infrastructure engineering (Azure/GCP) - no demonstrated experience with cloud platforms - Container orchestration (Kubernetes/Docker) - completely different from business process automation - Infrastructure as Code (Terraform) - no evidence of IaC experience - DevSecOps toolchain (CI/CD, monitoring, security tools) - missing entire professional domain **Strengths:** - Proven fast learner with track record of self-teaching complex systems (trading bots, ERP configuration, e-commerce automation) - Strong systems architecture thinking and automation-first mindset aligns with DevOps philosophy - Bachelor's in Engineering (Mechatronics/Robotics) meets educational requirement; bilingual English C2 exceeds language requirement **Missing Required:** 3+ years DevSecOps experience, Azure cloud knowledge, Python scripting (automation scripts shown, but not infrastructure/DevOps context), CI/CD pipelines implementation, Docker and Kubernetes hands-on experience, Terraform infrastructure management, Datadog monitoring experience, Ansible configuration management, Security tools (vulnerability assessment, threat detection)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents as a strong systems architect with extensive experience in automation, system development, data integrity, and cross-functional collaboration, aligning well with most job requirements. While lacking direct experience with Power Platforms and Sharepoint, their 'fast learner' ability and demonstrated capability in similar solution building and enterprise systems (ERP, custom automation) mitigate this gap. The career trajectory shows intentional growth towards technical roles. **Strengths:** - Extensive experience in end-to-end automation, system development, and architecture. - Proven ability to bridge business and technical requirements, including C-level communication. - Demonstrated 'fast learner' capability and strong analytical/problem-solving skills. **Missing Required:** Direct experience with Power Platforms (Power BI, Power Apps, Power Automate), Direct experience with Sharepoint

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate has strong systems thinking, automation experience, and operational excellence - but this is a QA/Test Automation role requiring specific technical testing skills (PyTest, Selenium, Cypress, Postman) that are not demonstrated in the resume. While the candidate shows fast-learner traits and relevant SQL/data validation experience from ERP work, the core QA tooling and Azure/Databricks experience are missing. The financial domain experience is a positive match. **Critical Gaps:** - QA-specific testing frameworks (PyTest, Selenium, Cypress, Postman, QTest) - no evidence of test automation experience - Azure/Databricks experience - required, not demonstrated - Python for test automation - required skill with no demonstration **Strengths:** - Financial sector domain experience (financial analyst background, matches 'projeto do ramo financeiro') - Data integrity and validation expertise (4,000+ record ERP cleanup, SQL validation rules) - Strong documentation and evidence generation skills (aligns with QA documentation requirements) **Missing Required:** Advanced SQL for testing (has SQL for ERP validation, but not at testing-framework level), QA tooling experience (PyTest, Postman, QTest, Selenium, Cypress), Azure/Databricks hands-on experience, Cloud migration project experience, Data governance project experience, Formal data modeling experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a strong background in systems architecture, automation, and operational optimization, alongside excellent communication and organizational capabilities. However, a critical gap exists in direct and scaled experience with user-facing web application development, TypeScript, and GraphQL, which are fundamental requirements for this Frontend Engineer role. Despite a 'fast learner' bonus and inferred backend skills, the core domain mismatch significantly impacts the suitability. **Critical Gaps:** - Primary focus on user-facing web applications development **Strengths:** - Exceptional systems thinking, automation, and operational process optimization. - Proven track record of self-direction, rapid learning, and building complex systems from inception. - Strong communication and organizational skills, well-suited for collaborative and remote environments. **Missing Required:** Minimum of 4+ years of software engineering experience, primarily focusing on developing user-facing web applications at scale using TypeScript, Knowledge of GraphQL

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems thinking, automation, and leadership in technical operations, but lacks direct experience with macOS, Swift, SwiftUI, and desktop app development. There is evidence of fast learning and complex project delivery, but no explicit or inferred experience with the required Apple ecosystem technologies or large-scale consumer app shipping. Communication, collaboration, and CI/CD experience are present, but the critical gap in platform-specific skills is significant. **Critical Gaps:** - No experience with macOS/desktop app development or Apple frameworks **Strengths:** - Automation-first systems thinking - Leadership and cross-functional collaboration - Fast learner with proven self-teaching track record **Missing Required:** Proven experience shipping macOS or desktop applications, Strong proficiency in Swift and SwiftUI, Solid knowledge of AppKit and macOS frameworks

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong capabilities in systems architecture, automation, data quality, and financial domain knowledge, with a proven 'fast learner' track record. However, the role requires extensive Java development skills (Spring Boot, Hibernate, multi-threading) and formal software testing expertise (test case documentation, automation, specific tools like Fidessa and Genesis Application) where the candidate has no direct or inferable experience, creating critical gaps. **Critical Gaps:** - JAVA core, Spring Boot, Hibernate, Multi-threading, Concurrency, Performance tuning **Strengths:** - Extensive experience in systems architecture, automation, and data quality across various projects. - Strong background in financial markets and analytics, including algorithmic trading and business-technical translation. - Proven ability as a fast learner with a clear career trajectory towards technical and AI roles. **Missing Required:** Fidessa Back Office & Middle Office, Genesis Application, Document test cases, execute test cases, and maintain regression test pack, Functional Testing Tools (QTest, Jira), Hands-on experience in test automation, Test requirements documentation and test plan documentation, JAVA core, Spring Boot, Hibernate, Multi-threading, Concurrency, Performance tuning

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates a very strong background in systems architecture, operations, and automation, making him highly transferable to observability roles. While specific observability tools (Dynatrace, Zabbix, Grafana) are missing, his extensive experience with monitoring, managing infrastructure, scripting (Python, Shell inferred), and SRE/DevOps principles, combined with a proven fast-learner track record, indicate an excellent fit. The transferable experience in the foodservice segment is an additional strength. **Strengths:** - Strong background in systems architecture, operations, and automation - Proven track record as a fast learner, acquiring complex technical skills rapidly - Extensive experience in developing and managing robust, measurable systems and workflows **Missing Required:** Dynatrace, Zabbix, Grafana

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] This is a complete mismatch - the candidate is a 33-year-old experienced Systems Architect with 10+ years of professional experience, while the job is specifically an internship for current university students. The position requires being enrolled in higher education with at least 1 year remaining, which the candidate does not meet. **Critical Gaps:** - DEMOGRAPHIC DISQUALIFICATION - Not a current university student - EXPERIENCE MISMATCH - Senior professional for junior internship role **Strengths:** - Advanced English fluency (exceeds requirement) - Technical background relevant to tech recruiting - Strong communication and stakeholder management **Missing Required:** Active university enrollment, Student availability for 1+ years, Entry-level career stage

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate exhibits exceptional skills in systems architecture, automation, and problem-solving, along with a strong 'fast learner' profile. However, there is a critical gap in explicit frontend development experience, and the required backend technologies (Spring Boot, Kotlin) and Twilio Flex are not present, making it a poor fit for a Senior FullStack role despite architectural strengths. **Critical Gaps:** - Frontend development (JavaScript/TypeScript) **Strengths:** - Exceptional Systems Architecture & Automation experience with end-to-end solution delivery. - Proven 'Fast Learner' with demonstrable self-taught capabilities in complex technical domains (AI infrastructure, algorithmic trading). - Strong background in platform operations, data integrity, and troubleshooting. **Missing Required:** Twilio Flex, Backend development (Spring Boot with Kotlin), API documentation tools (OpenAPI, CloudEvents, AsyncAPI), Good practices (DDD, TDD, clean architecture), Agile methodologies (Scrum/Kanban)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and data management skills, with a proven 'fast learner' track record and relevant financial domain experience. However, there's a significant gap in the core Java and Spring Boot technologies required for a Senior Java Developer role, which heavily impacts the score. While other skills are inferable, the absence of direct experience with the primary programming language and framework is a critical concern for a senior position. **Critical Gaps:** - Java (core programming language for the role) - Spring Boot (core framework for the role) **Strengths:** - Strong systems architecture and operational background, effectively bridging business and technical domains. - Exceptional 'fast learner' with demonstrated ability to build complex systems from scratch and commitment to continuous education (AWS certification, MIT MicroMasters). - Extensive experience in data integrity, automation, and workflow optimization, with transferable domain knowledge in finance relevant to consumer banking. **Missing Required:** Java, Spring Boot, Mensageria, DynamoDB, MongoDB

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4] Candidate has strong supply chain domain expertise and advanced Excel/data analysis skills, but lacks the core technical requirement of 5-7 years Power BI development experience. While they demonstrate excellent systems thinking and automation capabilities, the specific Power BI technical skills (DAX, Power Query, data modeling) are missing. **Critical Gaps:** - Power BI development experience - BLOCKING - DAX programming - BLOCKING - Power Query - BLOCKING **Strengths:** - Deep supply chain domain knowledge - Advanced Excel and data analysis - Proven stakeholder engagement and business-technical translation **Missing Required:** 5-7 years Power BI development, DAX proficiency, Power Query proficiency, Data modeling experience, Row level security implementation

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture, automation-first production experience and clear evidence of Python/SQL and data-pipeline work (inferred) make the candidate a capable technical generalist, but the resume lacks explicit, hands-on cloud data engineering experience (AWS Glue/Step Functions/Lambda), cross-cloud migration, and proven multi-platform database administration that this Staff Database Engineer role requires. Given those core absences the fit is limited despite excellent leadership and rapid-learning signal. **Critical Gaps:** - Proven AWS data tooling expertise (Glue / Step Functions / Lambda) - role-essential - Cross-cloud/hybrid data migration experience with minimal downtime - role-essential - Demonstrated production experience with >=2 target DB platforms (Snowflake/Postgres/MySQL/DynamoDB/Mongo) - role-essential **Strengths:** - System architecture + automation-first delivery: delivered production automation for procurement and e‑commerce - Demonstrated ability to build end-to-end data workflows and reporting (ERP data cleaning, stock→procurement pipeline, scraping/ATS) - Fast learner and cross-domain mover with leadership experience (Head of Engineering & Operations, founder; C2 English) **Missing Required:** AWS Glue / Step Functions / Lambda (no evidence), Cross-cloud data migration (no evidence), Hands-on with two+ of the listed databases (no explicit evidence), Azure data engineering stack (Data Factory / Synapse / Functions) not shown, IaC for cloud data infra (Terraform/CloudFormation/Bicep) not shown, DBT or Coalesce for transformations not shown, Monitoring/observability tooling for cloud data infra not shown

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate has strong systems thinking, data integrity, and process automation experience, but lacks the core technical QA skills required. While they demonstrate SQL knowledge through ERP work and could infer API/testing concepts from automation projects, they have no direct experience with QA frameworks (PyTest, Selenium, Cypress, Postman), Azure/Databricks, or formal test automation. The 15-year trajectory (Finance→Supply Chain→Systems) shows technical growth but doesn't align with QA engineering specialization. **Critical Gaps:** - No QA/testing specialization - candidate's career is operations/procurement/systems architecture, not quality assurance engineering **Strengths:** - Strong data integrity and validation experience (4,000+ ERP records cleanup with systematic controls) - End-to-end automation thinking (automated procurement system handling 40-50 daily orders) - Bilingual Portuguese/English C2 and located in Brazil (meets geographic requirement) **Missing Required:** Solid experience in technical data validation (QA context), Advanced SQL for testing (has SQL but not QA-focused), QA tools experience (PyTest, Postman, QTest, Selenium, Cypress), Azure/Databricks experience, API testing experience (explicit)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate has a strong background in robotics engineering, system architecture, and has demonstrated significant capability in building complex automation systems and self-teaching AI infrastructure (LLM clusters), highlighting strong learning agility and leadership. However, the job requires direct, specific experience with machine learning models on robotic systems, PyTorch for model optimization, and ROS/ROS2, which are critical technical gaps. While transferable skills and a positive career trajectory are evident, the core technical requirements for this specialized robotics AI role are not fully met. **Strengths:** - Strong foundational background in robotics engineering (Mechatronics/Robotics B.Eng) and system architecture - Proven ability to build and deploy complex, production-ready automation systems and self-teach advanced technical domains (AI infrastructure, LLM clusters) - Exceptional leadership, project management, and cross-functional collaboration skills evidenced by past roles and impact **Missing Required:** 3+ years of experience building and deploying machine learning models on robotic systems, including integration of multimodal sensory data and control outputs, Strong PyTorch skills, with experience authoring custom modules and optimizing performance, Practical experience with Robot Operating System (ROS/ROS2) and policy integration

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong alignment with ERP/TOTVS operational context, data quality, and systems-architecture responsibilities, plus clear analytical and leadership skills, but no explicit ADVPL development experience. Prior TOTVS work is 8–9 years old and appears more on the functional/architect side than hands-on coding, which is a major gap for a Senior ADVPL Developer role. Overall this is a business/operations–centric systems architect with good domain overlap but missing the core language and up-to-date developer track record. **Strengths:** - Deep understanding of ERP/TOTVS operational workflows, data integrity, and inventory/forecasting from prior supply chain roles. - Strong systems-thinking and business–technical bridge profile, with experience translating complex operational requirements into structured rules and controls. - Proven fast learner with self-directed work in algorithmic trading and automation, indicating potential to ramp up on ADVPL if given the opportunity. **Missing Required:** Sólida experiência prática em desenvolvimento ADVPL, Domínio de customizações e integrações em ERP TOTVS usando ADVPL, Histórico recente (últimos 3–5 anos) como desenvolvedor de software focado em ERP/TOTVS, Experiência explícita com versionamento de código e processos formais de gestão de fontes (ex.: GMUD) em contexto de desenvolvimento

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] This is a complete domain mismatch. The candidate is a Systems Architect with 10+ years in operations, automation, and technical systems, while the job is for an English teacher at a language school requiring education background and classroom teaching experience. **Critical Gaps:** - Teaching experience - completely different career domain - Education background (Letras/Pedagogia) - Classroom instruction experience **Strengths:** - English C2 fluency - Strong communication skills - International business experience **Missing Required:** Graduation in Languages/Pedagogy or related fields, Teaching methodology experience, Classroom management skills, Student evaluation experience

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture, automation and leadership background with proven delivery of production systems and measurable business impact, but lacks the core .NET/C# + Angular + Azure DevOps stack required for this role. The candidate’s fast-learning history and inferred DevOps skills partially mitigate the gap, yet missing multiple explicit required technologies makes them a weak fit for a hands-on .NET Tech Lead role. **Strengths:** - Technical leadership and stakeholder communication (Head of Engineering / Founder) - Design and delivery of end-to-end automation and resilient systems (inventory, procurement, reporting) - Fast learner with self-taught AI/quant/trading and production ops experience **Missing Required:** .NET / C# (no evidence in resume or inferred), Angular (no frontend framework experience shown), Azure DevOps / Azure Pipelines (CI/CD flavor not shown), xUnit (no .NET testing framework experience), MongoDB (No NoSQL / MongoDB experience shown)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong foundational and leadership skills in AI infrastructure, system architecture, and operationalizing complex systems, with clear evidence of rapid learning capabilities. However, a significant gap exists in direct hands-on experience with the specific Azure GenAI platform and related tooling explicitly required by the role, which are central to the job's responsibilities. Despite this, the inferred underlying skills and self-taught nature suggest a high potential for quickly acquiring the missing platform-specific expertise. **Strengths:** - Extensive experience in AI infrastructure and system architecture, including self-hosted LLM clusters, demonstrating strong core GenAI engineering capabilities. - Proven leadership, communication, and stakeholder management skills, crucial for a lead-level role. - Exceptional 'Fast Learner' with a track record of building complex production systems in new domains, indicating high adaptability to new platforms like Azure. **Missing Required:** Microsoft Copilot Studio, Azure OpenAI, Databricks, Azure Data Factory, Azure AI Foundry, Azure Storage, Key Vault

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong mechatronics background, systems-architecture and automation experience plus proven rapid self-teaching and algorithmic development give good domain fit; however there is no explicit evidence of C/C++ embedded firmware, STM32 or CAN experience which are core to the listed roles. Overall the candidate is technically strong and trainable but lacks the specific embedded-language experience required by most vacancies. **Strengths:** - Mechatronics degree and systems-thinking for mechanical/control problems - Proven automation and end-to-end system delivery (ERP, procurement, inventory) - Rapid prototyping, algorithmic development and clear evidence of fast learning **Missing Required:** C and C++ programming for embedded systems, STM32 MCU experience, CAN protocol experience

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, automation-first mindset, and self-teaching ability, but lacks the core technical requirements for an AI Developer role. While they built a job scraping/scoring system recently, there's no evidence of Python development experience (2+ years required), LLM/prompt engineering expertise, or AI framework proficiency. The resume shows operations/systems architecture background, not software development. **Critical Gaps:** - Software development experience - candidate's background is operations/systems architecture, not software engineering - AI/ML technical depth - no demonstrated experience with LLMs, prompt engineering, or AI frameworks **Strengths:** - Self-taught technical learner with proven track record (built job scraping/ATS system from scratch) - Strong English proficiency (C2 Certified - exceeds B2 requirement) - Systems architecture and automation-first mindset aligns with AI solution building philosophy **Missing Required:** 2+ years Python application development and debugging, Prompt engineering and LLM behavior tuning expertise, Deep knowledge of large language model architectures, Pydantic proficiency, AI frameworks (LangChain or similar), AWS cloud services experience, REST API development experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional capability in systems architecture, translating complex logic into production-grade systems, and managing risk controls. His 'Fast Learner' track record, coupled with a career trajectory moving towards technical and AI roles, makes him a strong fit for a role focused on building scalable portfolio decision systems, despite a few specific 'strongly preferred' and 'nice-to-have' skills being inferred or less explicitly detailed. **Strengths:** - Strong capability in designing and implementing system logic with a focus on determinism and audibility, directly applicable to portfolio construction and rebalancing. - Proven ability to bridge business requirements with technical implementation, effectively communicating complex concepts to both technical and non-technical stakeholders. - Demonstrated 'Fast Learner' and systems-thinking approach, quickly acquiring new technical skills and applying them to build production-grade solutions in new domains.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating deep operational experience, strong analytical rigor, and a proven track record in automation and AI system building. Their career trajectory, founder experience, and explicit 'fast learner' evidence make them highly adaptable to the unique demands of a CEO's personal infrastructure. While direct experience in 'family office' environments or specific large-scale personal projects (like construction) is not explicit, the underlying skills are robustly present and transferable. **Strengths:** - Automation-First & AI System Building Expertise (including self-taught LLM infrastructure) - Exceptional Operational Leadership & Strategic Project Management (10+ years across diverse domains) - Strong Analytical Rigor, Financial Acumen, and Due Diligence Capabilities **Missing Required:** Direct prior experience within a 'Family Office' environment

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] Critical domain mismatch: candidate has zero photovoltaic/solar energy experience. The role requires deep technical expertise in solar inverters, PVSyst, AutoCAD, battery systems, and 3+ years in Brazilian solar market. While candidate demonstrates strong systems thinking, automation, and technical communication skills, the specialized solar engineering knowledge gap is insurmountable without retraining. **Critical Gaps:** - Zero photovoltaic/solar energy domain experience - BLOCKING - No electrical engineering background (has Mechatronics) - MAJOR GAP - Missing mandatory Mandarin language requirement - BLOCKING - No experience with solar design software (AutoCAD/PVSyst for solar) - BLOCKING - Lacks Brazilian solar market network and relationships - BLOCKING **Strengths:** - Strong technical communication and bridge between engineering/business (matches pre-sales support and client-facing requirements) - Proven ability to create training materials and SOPs (aligns with Solar Academy management and documentation tasks) - Fast learner with self-taught track record (could accelerate solar domain learning, but insufficient given depth required) **Missing Required:** Mandarin proficiency (mandatory), Electrical/Photovoltaic/Renewable Energy degree, Advanced photovoltaic inverter knowledge, 2+ years PV inverter experience, 3+ years Brazilian PV market experience, AutoCAD advanced, PVSyst advanced, Energy storage systems experience, Battery systems (lead-acid/lithium) knowledge

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for the Pre-Sales Solution Engineer role. Their 10+ years of experience across operations, finance, and technical system-building, including roles as Founder of an e-commerce business and Independent Consultant, provide extensive evidence of designing, delivering, and advocating for complex technical solutions. They excel at bridging business and technical requirements, a core function of the role, and their 'Fast Learner' trajectory underscores their adaptability and continuous skill development. **Strengths:** - Technical Solution Design & Delivery with strong business impact - Effective Communication & Stakeholder Management (C-level comfort, business-technical translation) - Proven Problem-Solving and Rapid System Delivery (Fast Learner)

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: claude-sonnet-4] Strong match with exceptional alignment on systems thinking, automation, and AI implementation. Candidate demonstrates proven ability to build operational systems from scratch, automate workflows, and bridge business-technical gaps - exactly what this VC firm needs. Fast learner profile with demonstrated self-teaching ability mitigates any specific tool gaps. **Strengths:** - Systems-first thinking with proven automation delivery - AI-native approach with self-hosted LLM infrastructure - Business-technical bridge experience with C-level stakeholder management

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive background in Mechatronics Engineering, IT, automation, and finance does not align with the core requirements for an Architect role specializing in lighting design and BIM. There is a critical lack of academic qualification in Architecture and practical experience with industry-specific tools like Archicad, BIM, Dialux EVO, Enscape, and Lumion. **Critical Gaps:** - Formação em Arquitetura - Experiência com Archicad e com projetos multidisciplinares desenvolvidos em BIM - Desenvolvimento de projetos luminotécnicos - Desenvolvimento de detalhamento técnico e simulações de iluminação artificial **Strengths:** - Strong analytical and problem-solving skills (Rapid Prototyping, Algorithmic Trading) - System architecture and automation expertise (Head of Engineering & Operations, Systems Architect) - Business acumen and ability to bridge technical and business needs (Perfil Profissional, Key Impact)

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] This is a critical domain mismatch. The candidate is a Systems Architect with expertise in automation, e-commerce, and technical infrastructure, while the job requires an Architect in civil/building construction with expertise in AutoCAD, SketchUp, BIM, and construction project management. These are completely different fields despite sharing the word 'architect'. **Critical Gaps:** - Civil/Building Architecture - BLOCKING - Construction Industry Experience - BLOCKING - Architectural Software Proficiency - BLOCKING **Strengths:** - Project management experience - Technical analysis capabilities - Stakeholder communication **Missing Required:** Architectural project conception, Technical architectural drawings, Construction site supervision, Building code compliance, Real estate development experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is automatically disqualified due to not meeting the geographical requirement; the job mandates residency in Brasília/DF or its surroundings, and the candidate is based in São Paulo, Brazil. Despite strong transferable skills, this is a non-negotiable hard filter. **Critical Gaps:** - Specific experience in network solutions (Site Surveys, Hardware/License Sizing for networks) **Strengths:** - Exceptional business acumen and financial analysis skills with strategic impact - Proven ability in technical documentation, executive communication, and proposal creation - Strong track record as a fast-learner, building complex systems and infrastructure from scratch **Missing Required:** Specific experience in network technology relevant to solution sizing and site surveys

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's extensive experience and strong project management skills are in Systems Architecture and Mechatronics Engineering, which is fundamentally misaligned with the job description for an Architect specializing in building structures. There is a critical gap in core domain knowledge, relevant education, and specific software proficiency (CAD, Revit) required for architectural design of physical buildings. **Critical Gaps:** - Architectural design (buildings) - CAD/Revit proficiency - Knowledge of building codes and construction processes **Strengths:** - Strong project management and leadership in technical/operational contexts - Proven ability to build complex automated systems from scratch - Exceptional self-learner with a drive for continuous improvement **Missing Required:** Bachelor’s/Master’s degree in Architecture, Proficiency in CAD, Revit, and other design software (for buildings), Knowledge of building codes and construction processes

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's expertise is in technical systems architecture, software automation, and data, while the job requires an architect with experience in executive building projects, detailing, and DWG software. This represents a fundamental domain mismatch. **Critical Gaps:** - Architectural Project and Detailing (building/civil engineering domain) - Compatibility with other construction disciplines - Proficiency in DWG software (e.g., AutoCAD, Revit) **Missing Required:** Vivência em projeto executivo e detalhamento de arquitetura, Experiência em compatibilização com demais disciplinas, Domínio em software dwg

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a complete domain mismatch. The job requires a licensed architect with expertise in building design, technical drawing, Revit for architectural projects, and knowledge of building codes/NBRs. The candidate is a systems/operations architect (software/business), not a building/construction architect. Despite shared terminology ('architect'), these are entirely different professions requiring fundamentally different education and skills. **Critical Gaps:** - Professional architecture degree and license - BLOCKING - Building design and architectural conception - BLOCKING - Technical architectural drawing and detailing - BLOCKING - Revit for architectural projects (not IT systems) - BLOCKING - Knowledge of building codes, NBRs, and urban legislation - BLOCKING **Strengths:** - Technical English proficiency (C2) - Systems thinking and structured approach - Strong communication with C-level stakeholders **Missing Required:** Architecture degree, Residential building design experience, Architectural technical drawing, Building code expertise, Architectural Revit proficiency, Portfolio of built residential projects

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5.1] O candidato tem forte experiência em operações, procurement e análise de dados com Excel avançado, mas o cargo é focado em Arquitetura/Urbanismo para hotelaria, com ênfase em projetos executivos, desenho técnico e ferramentas de CAD/BIM. Faltam tanto a formação específica em Arquitetura e Urbanismo quanto experiência comprovada em desenvolvimento de projetos arquitetônicos e acompanhamento de obras, o que configura um desvio de domínio significativo. Assim, apesar de boas competências analíticas e de gestão, o match técnico com a vaga é muito baixo. **Critical Gaps:** - Formação específica em Arquitetura e Urbanismo para atuar em projetos de hotelaria - Ausência de experiência em desenvolvimento de projetos executivos e leitura de desenhos técnicos arquitetônicos - Ausência de domínio em ferramentas centrais da área (AutoCAD, SketchUp, Revit) para projeto arquitetônico **Strengths:** - Excel avançado, modelagem de dados e reporting estruturado - Experiência sólida em procurement, negociação com fornecedores e gestão de compras - Gestão de processos, governança e comunicação executiva entre áreas técnicas e de negócio **Missing Required:** Formação Superior em Arquitetura e Urbanismo (ou experiência equivalente na área), Domínio em desenvolvimento de projetos executivos de arquitetura, Capacidade de leitura e interpretação de desenhos técnicos arquitetônicos, Conhecimento avançado em AutoCAD, Experiência direta em projetos de hotelaria, implantação e acompanhamento de obras