[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit. While technically proficient with a strong track record of learning and problem-solving, their entire experience is in deep technical infrastructure, systems architecture, and finance—not customer-facing operations. There is a critical, insurmountable gap between their background and the core responsibilities of a Customer Operations Lead. **⚠️ Critical Gaps:** - The candidate has no experience in customer support, which is the primary function of this role. Their background is purely technical and analytical, not client-facing. **✅ Strengths:** - Proven fast learner with ability to self-teach complex domains - Strong technical and systems-thinking background - Fluent in English **❌ Missing Required:** 2+ years of experience in customer operations, customer support, or business operations, Prior experience with Stripe, subscriptions, or SaaS billing workflows

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate has a strong, inferred foundation in core requirements like Linux, networking, and cloud (AWS), derived from advanced self-taught projects in AI. However, there are critical, blocking gaps in specialized, required domains like Telephony (Asterisk/SIP) and the PHP language. **⚠️ Critical Gaps:** - Telefonia (Asterisk, E1, SIP) - PHP **✅ Strengths:** - Strong foundation in Linux, Networking, and Cloud (AWS) - Demonstrated ability to learn and implement complex systems from scratch - Career trajectory shows clear progression toward advanced technical roles **❌ Missing Required:** Virtualização (VMware or Xen)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato é um profissional de tecnologia de alto nível com vasta experiência em arquitetura de software, automação e IA. A vaga é para um técnico de campo focado em construção e inspeção de dutos. Existe uma incompatibilidade fundamental entre o domínio de experiência do candidato (digital/software) e os requisitos da vaga (industrial/construção). **⚠️ Critical Gaps:** - Experiência em Construção & Montagem de Dutos - Formação técnica específica para inspeção industrial (Mecânica, Metalurgia, etc.) **✅ Strengths:** - Forte background em automação e engenharia - Experiência com planejamento, cronogramas e análise de desempenho (em outros domínios) - Capacidade comprovada de aprendizado rápido em domínios complexos **❌ Missing Required:** 10 (dez) anos de experiência em atividades similares ao escopo, Montagem de Dutos, Normas de Segurança do Trabalho, Normas Técnicas de Construção

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate is a strong fit regarding foundational skills like Linux, CI/CD, and infrastructure automation (Docker/Terraform). However, there is a significant gap in the core required platforms: Azure Cloud and Databricks. Their proven ability to master complex technical domains and strong career trajectory towards this type of role make them a high-potential candidate who would require ramp-up time on specific tools. **✅ Strengths:** - Strong infrastructure and automation skills (Docker, CI/CD, Python) - Proven fast learner with experience building complex systems from scratch - Excellent career trajectory moving towards AI/Data infrastructure **❌ Missing Required:** Azure Cloud (has AWS as adjacent), Databricks / Spark

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a highly capable technologist with valuable domain experience in supply chain and retail systems, which is a plus. However, his career trajectory shows a clear pivot away from business applications towards deep technical infrastructure (AI, Systems Architecture), creating a critical gap in recent, client-facing ERP implementation and project management experience. **⚠️ Critical Gaps:** - The role requires managing client-facing ERP software implementations, while the candidate's recent experience is in building back-end, technical infrastructure and AI systems. **✅ Strengths:** - Deep knowledge of retail/supply-chain business processes from building a JIT system. - Proven ability to architect complex, automated systems from scratch. - Certified 'Fast Learner' with a strong track record of mastering new domains. **❌ Missing Required:** Proven experience managing full-cycle ERP implementation projects for external clients., Demonstrated experience managing multiple simultaneous projects.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong match based on demonstrated ability to architect and build complex, production-grade automated systems from scratch. While lacking the specific "Data Engineer" title and experience with Apache Airflow, their proven fast-learning ability, deep Python skills, and systems architecture mindset suggest they can bridge this gap quickly. The career trajectory shows a clear and intentional progression towards this type of role. **✅ Strengths:** - Deep Python proficiency for automation and data processing - Proven experience architecting and building production-grade data pipelines (e.g., JIT system) - Strong 'fast learner' trait with a history of self-teaching complex technical systems (AI Clusters, trading bots) **❌ Missing Required:** Apache Airflow, 2-3 years experience with 'Data Engineer' title

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong match, demonstrating deep, hands-on experience in nearly all required areas, including project execution, risk management, process automation, and AI application. His non-traditional background as a founder who built complex, automated systems from scratch provides powerful evidence of the required competencies, despite lacking formal PM methodology keywords. **✅ Strengths:** - Hands-on AI/automation systems architecture (self-hosted LLMs, JIT systems) - Strong background in risk management and financial analysis - Proven ability to lead technical projects end-to-end (concept to production) **❌ Missing Required:** Domínio de metodologias de gerenciamento de projetos (agile, scrum, pmbok, etc)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong match due to deep, demonstrated experience in architecting and automating production-grade systems, which aligns with the core DevOps responsibilities. His background in building a JIT system from the ground up provides strong evidence for skills in CI/CD, IaC (Terraform), and managing mission-critical applications, despite lacking explicit keywords for all requirements. **✅ Strengths:** - Hands-on experience architecting complex, automated production systems - Proven problem-solver with a founder's mentality - Direct experience with core required technologies like CI/CD and Terraform **❌ Missing Required:** Documentation of configurations and procedures, Experience with scalable agent pools

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong match for the architectural, AI leadership, and platform engineering aspects of this role, with a demonstrated history of building complex, production-grade systems from scratch. A critical gap exists in the specified Java/Kotlin/Vue technology stack, as the candidate's background is in Python and systems infrastructure. However, this is significantly mitigated by a proven 'fast learner' track record and deep expertise in the target domain of AI-driven platform architecture. **⚠️ Critical Gaps:** - Frontend development (Vue.js) - candidate's experience is backend and infrastructure focused. **✅ Strengths:** - Deep, hands-on experience in AI infrastructure and systems architecture, directly aligning with the role's core mission. - Proven ability to rapidly learn and implement complex technologies in a production environment. - Clear career trajectory demonstrating intentional growth into senior technical leadership and architecture roles. **❌ Missing Required:** Java, Kotlin, Vue.js

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate demonstrates exceptionally strong, hands-on experience in architecting and deploying production-grade automated data systems using Python, which directly aligns with the core responsibilities of the role. While lacking direct experience with Apache Airflow, their proven ability to build complex orchestration logic from scratch, combined with a 'Fast Learner' profile, suggests a high aptitude for acquiring this skill. The career trajectory shows a clear and intentional progression into complex systems architecture, making them a strong cultural and technical fit. **✅ Strengths:** - Proven experience building production-grade data pipelines from scratch - Deep expertise in Python for automation and data processing - Strong systems architecture background applicable to data infrastructure **❌ Missing Required:** Apache Airflow

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a technically skilled systems architect with proven talent in automation and infrastructure, but lacks the fundamental experience required for this role. There is a critical misalignment between his background in systems/AI and the job's focus on network security engineering and pre-sales. **⚠️ Critical Gaps:** - The role is a customer-facing pre-sales position, and the candidate has zero sales or customer-facing engineering experience. - The role requires deep expertise in core networking (Routing, Switching, WAN, Wireless), which is entirely absent from the candidate's resume. **✅ Strengths:** - Proven ability to architect and build complex automated systems from scratch. - Strong Python, Docker, and CI/CD skills for infrastructure management. - Demonstrated fast learner with a history of self-teaching complex domains (AI, trading). **❌ Missing Required:** 5 – 8 years of field sales experience, Experience in technical/pre-sales support, Experience in LAN/WAN/Internet services administration, Experience with Wireless technologies, Knowledge of Routing, Switching, VPN, Network Security, Intrusion Detection, Solid understanding in RADIUS, PKI, IKE, L2TP, IPSEC, FIREWALL

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate presents a strong profile as a Systems Architect and 'technical bridge,' demonstrating significant inferred experience in requirements gathering and systems design through complex projects like automated JIT systems and financial modeling. While lacking explicit experience with Agile methodologies (Scrum/Kanban) and tools like JIRA, his proven fast-learning ability and deep analytical background suggest he could bridge this gap quickly. **✅ Strengths:** - Deep Analytical and Problem-Solving Skills - Proven Systems Architecture and Design Experience - Fast Learner with Diverse Technical Background **❌ Missing Required:** Experiência com metodologias ágeis (Scrum, Kanban), Experiência com ferramentas de gestão de projetos (JIRA, Trello)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect with proven experience in cloud/DevOps, API integrations, and designing complex automated e-commerce systems. However, there is a critical gap regarding the core required platform (CommerceTools) and the specified programming languages (Node.js/Java/TS), making them a poor fit despite an impressive technical foundation. **⚠️ Critical Gaps:** - Direct experience with CommerceTools is required and entirely missing. **✅ Strengths:** - Systems Architecture & Design - Cloud & DevOps (CI/CD, Docker, AWS) - API Integration & Automation **❌ Missing Required:** CommerceTools, GraphQL, social media commerce integrations, Node.js, Java, TypeScript

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a very strong match. His foundational experience in building AI infrastructure from scratch, coupled with a background in finance and systems architecture, strongly infers mastery of core data engineering principles. His proven ability as a fast learner mitigates the lack of direct experience with specific tools like Databricks and Scala. **✅ Strengths:** - Deep foundational knowledge in systems and AI infrastructure - Direct experience in the financial domain - Demonstrated track record of rapid learning and application of complex technologies **❌ Missing Required:** Scala, Databricks, Delta Lake

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Exceptional technical and leadership fit. Candidate demonstrates strong, hands-on experience in architecting and managing complex systems analogous to the role's digital platform. His background as a founder and 'Head of Engineering' directly maps to the required leadership, roadmap, and technical oversight responsibilities. The only major risk is the '100% Presencial' requirement, as the candidate's location may not match the unspecified job location. **⚠️ Critical Gaps:** - Unspecified job location for a '100% Presencial' role **✅ Strengths:** - Hands-on Systems Architecture & Development - Leadership & Project Ownership (as Founder) - Bridging Business Logic and Technical Implementation

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Excellent fit. The candidate's profile as a 'Technical Bridge' with a background in business domains (Finance, Supply Chain) and deep, hands-on systems architecture experience is a perfect match for a role that requires technical problem-solving and translating business needs. His proven ability to build and manage complex automated systems aligns directly with the need for an autonomous, analytical N2 support layer. **✅ Strengths:** - Deep technical skills combined with business domain experience (Finance/Supply Chain) - Proven ability to architect and build autonomous systems from scratch - Acts as a 'bridge' between business requirements and engineering execution **❌ Missing Required:** Oracle (candidate has adjacent SQL skill)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato possui um background técnico excepcionalmente forte e uma trajetória de aprendizado impressionante, alinhada com os requisitos de DevOps e arquitetura. No entanto, existe uma lacuna crítica entre sua experiência prática como construtor de sistemas e as principais responsabilidades de um PGM, que envolvem a gestão de múltiplos times e a governança de processos. A ausência de experiência no setor bancário e em metodologias formais de gestão de projetos resulta em um encaixe fraco. **⚠️ Critical Gaps:** - Experiência na gestão de múltiplos squads e alinhamento de roadmap estratégico - Larga experiência em seguimento bancário **✅ Strengths:** - Forte background técnico em arquitetura de software e engenharia - Conhecimento avançado e prático em DevOps, CI/CD e automação - Capacidade comprovada de aprendizado rápido e resolução de problemas complexos (Fast Learner) **❌ Missing Required:** Certificação ou conhecimento em PMI-ACP, SAFe Program Consultant (SPC), PMP, CSM, PSM III ou equivalente, Experiência com Value Stream Mapping e otimização de fluxo de trabalho

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect with impressive achievements in AI infrastructure and automation. However, there is a fundamental and critical mismatch with the job's core domain: K-12 Educational Technology. The complete lack of experience with required platforms like Toddle, Apple School Manager, and MDM solutions, coupled with zero history in an educational institution, makes this a poor fit despite strong adjacent technical skills. **⚠️ Critical Gaps:** - 5-7 years of experience in an educational institution - Deep mastery of specific EdTech platforms (Toddle, Apple MDM) - Experience with curriculum frameworks (ISTE Standards) **✅ Strengths:** - Proven expertise in Generative AI and Emerging Technologies - Strong background in systems architecture and API integration - Bilingual fluency (Portuguese/English) and based in São Paulo **❌ Missing Required:** Experience in an educational institution, Mastery of Toddle learning platform, Expert-level knowledge of Apple School Manager and MDM (Mosyle/Jamf), Deep knowledge of ISTE Standards, Experience implementing security frameworks (NIST/ISO 27001), Advanced Google Workspace administration

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong match due to demonstrated experience in architecting and building complex, automated systems from the ground up, including self-hosting LLMs. While specific framework experience (e.g., LangChain) is missing, his proven ability to master and implement new technologies ('Fast Learner' bonus applied) and his ideal career trajectory towards AI systems strongly mitigate this gap. **✅ Strengths:** - Deep experience building autonomous systems from scratch - Hands-on experience self-hosting and optimizing LLMs - Strong systems architecture mindset with a business ROI focus **❌ Missing Required:** LangChain, ADK, FastMCP

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a STRONG_MATCH. While lacking direct experience with specific chatbot platforms and formal conversational design, their deep, self-taught expertise in building complex automated systems from scratch, especially self-hosted LLM clusters, is exceptional. This demonstrates possession of all the core underlying technical and product skills required for an 'intelligent chatbot' project. **✅ Strengths:** - Deep AI/LLM infrastructure knowledge (self-hosted clusters) - Proven ability to build complex, automated production systems (trading bots) - Strong product and strategic mindset with a proven fast-learner track record **❌ Missing Required:** Experiência com plataformas de bot, Conhecimento em desenho de fluxos conversacionais e UX conversacional

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is automatically disqualified as they do not meet the mandatory language requirement of fluent Chinese. Additionally, there is a critical career path mismatch; the candidate has over 10 years of experience in backend systems architecture and AI infrastructure, but zero experience in the required customer-facing pre-sales or product management domains. **⚠️ Critical Gaps:** - Missing mandatory language requirement (Chinese) - Customer-facing role (Pre-sales/Product Management) vs. Backend/Infrastructure experience **✅ Strengths:** - Strong technical background in systems architecture and automation - Relevant STEM degree (Mechatronics Engineering) - Fluent in Portuguese and English **❌ Missing Required:** Fluent in Chinese, Minimum 5 years of experience in pre-sales or product management

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect and AI Engineer but lacks the fundamental experience required for an ITSM/Technical Support role. While possessing deep technical knowledge in infrastructure, automation, and scripting, the resume shows no demonstrated experience with user-facing support, essential tools like Endpoint Central, or administrative experience with Google Workspace and Slack. The candidate's career trajectory is moving towards specialized systems engineering, not the internal IT support focus of this role. **⚠️ Critical Gaps:** - The role requires 2+ years in user-facing technical support, but the candidate's experience is in systems architecture and backend engineering, a fundamentally different domain. **✅ Strengths:** - Advanced scripting and automation skills (Python/Shell) - Deep understanding of systems architecture from the ground up - Proven fast learner with a strong problem-solving track record **❌ Missing Required:** Endpoint Central (ManageEngine) experience, Google Workspace & Slack administration, Minimum 2 years in a technical support role, Active CNH B driver's license not mentioned

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is disqualified due to the hard filter of location mismatch (role is on-site in Curitiba, candidate is in Sao Paulo). Additionally, there is a fundamental and critical skills gap. The role requires a senior SAP ABAP developer, whereas the candidate's expertise lies in Python, AI infrastructure, and custom systems architecture with no demonstrated experience in the SAP ecosystem. **⚠️ Critical Gaps:** - Role requires on-site work in Curitiba, but the candidate is based in Sao Paulo. - Candidate's entire technical stack (Python, AI Infrastructure, Shell Scripting) is in a completely different domain from the required SAP ABAP programming language and S/4HANA environment. **✅ Strengths:** - Proven fast learner with a track record of self-teaching complex technologies. - Background in relevant business domains (Supply Chain, Finance) provides valuable context. - Deep experience in architecting and automating complex, production-grade systems from the ground up. **❌ Missing Required:** ABAP development experience (ECC or S/4HANA), RICEF object development, ABAP debugging, ABAP Orientado a Objetos, ABAP development tools (SE80, Eclipse/ADT), DDIC (ABAP Data Dictionary), Enhancement techniques (User-Exits, BADIs), ALV report development, SmartForms or Adobe Forms, ABAP performance tuning

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect with proven experience in distributed systems, high-scale environments, and fintech, aligning well with the role's seniority. However, there is a critical gap: no demonstrated experience with Clojure or a functional programming paradigm, which is a core requirement for this Staff-level position. **⚠️ Critical Gaps:** - The role is explicitly for a Clojure expert, and the candidate's experience is in different language ecosystems (inferred Python, etc.) with no evidence of a functional programming background. **✅ Strengths:** - Exceptional experience designing and building complex, high-scale distributed systems (self-hosted LLM clusters, trading bots). - Strong, transferable domain experience from Fintech. - Proven fast learner with a clear career trajectory towards deep technical leadership. **❌ Missing Required:** Clojure, Deep functional programming domain knowledge

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly capable Systems Architect with a strong track record in backend automation and AI infrastructure. However, there is a critical domain gap, as they possess no demonstrated experience in Unity, C#, or front-end game development, which are the core requirements for this role. **⚠️ Critical Gaps:** - Unity Game Development - C# Programming - Front-end Gameplay Experience **✅ Strengths:** - Proven Fast Learner & Self-starter - Strong Systems Architect Mindset - Experience Owning Complex Technical Projects End-to-End **❌ Missing Required:** 3+ years of experience as a Unity Game Developer, Very strong skills in Unity, Write clean reusable c# code

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong fit, demonstrating a clear career trajectory towards AI and systems engineering. They have hands-on experience architecting and deploying complex, automated production systems and self-hosting AI models, which strongly aligns with the core responsibilities of an AI/ML Engineer. **✅ Strengths:** - Hands-on experience deploying production-grade automated systems - Direct experience with self-hosted AI (LLM) infrastructure - Proven fast learner with a strong career trajectory towards AI

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate demonstrates exceptional, self-taught expertise in core AI/LLM infrastructure and a proven ability to deliver business value (KPIs). While lacking specific experience in image/video ML and the Google Vertex platform, their deep knowledge of self-hosted LLMs and rapid learning ability make them a compelling fit for an ML Engineer role. **✅ Strengths:** - Deep LLM infrastructure knowledge (self-hosted) - Proven track record of delivering KPI wins (profitable bots) - Demonstrated fast learner with strong career trajectory towards AI **❌ Missing Required:** Familiarity with image/video processing ML systems, Experience working with Classifier problems

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate is a strong systems architect with a proven track record of building complex, automated systems from the ground up. His deep experience in Python and infrastructure-as-code (Terraform, Docker) is a major asset. However, he has critical gaps in his experience with the specific modern data stack tools required, namely Snowflake, dbt, and a formal orchestrator like Dagster or Airflow, which lowers his score despite his strong foundational skills and fast-learner profile. **✅ Strengths:** - Proven systems architecture and end-to-end project ownership - Strong, recently applied Python and Infrastructure (Docker/Terraform) skills - Demonstrated fast learner with a career trajectory towards complex technical roles **❌ Missing Required:** Cloud data platforms (Snowflake and BigQuery), Data pipeline orchestration tools (Airflow, Dagster, or similar), Data transformation tools such as dbt or Spark

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] Candidate is automatically disqualified due to a geographic mismatch; the role is specified for US locations and the candidate is based in Brazil. While possessing strong systems architecture and infrastructure skills, there are also critical gaps in the required full-stack technologies (React, TypeScript, Node.js). **⚠️ Critical Gaps:** - Geographic Location - Frontend Development (React) - Core Backend Language (TypeScript/Node.js) **✅ Strengths:** - Systems Architecture - Infrastructure as Code (Terraform) - Automation & Integration **❌ Missing Required:** 8+ years professional software engineering in a modern web stack, TypeScript, Node.js, React, Google Cloud Platform (GCP)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato demonstra excepcional capacidade em arquitetura de sistemas, automação com Python e infraestrutura, alinhando-se com vários requisitos de alto nível. No entanto, existe uma lacuna crítica e intransponível: a ausência total de experiência em Java e Spring Boot, que são tecnologias centrais e não negociáveis para esta vaga de manutenção de sistemas. **⚠️ Critical Gaps:** - Java (versões 11, 17 e 21) - Spring Boot **✅ Strengths:** - Arquitetura de Sistemas e Automação (Python) - Capacidade comprovada de aprendizado rápido e auto-gestão - Experiência com CI/CD, Docker e conceitos de nuvem **❌ Missing Required:** Java (versões 11, 17 e 21), Spring Boot, Conhecimento em bancos de dados (SQL)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato é um forte arquiteto de sistemas e desenvolvedor Python com uma comprovada capacidade de aprender rapidamente domínios complexos. No entanto, ele não possui experiência direta com as tecnologias centrais do stack de dados da AWS (Glue, Redshift), processamento de big data (PySpark) e visualização de BI (Power BI), que são críticas para esta função específica. **⚠️ Critical Gaps:** - AWS Data Services (Glue, Redshift) - PySpark **✅ Strengths:** - Python Development - Systems Architecture & Automation - Proven Fast Learner **❌ Missing Required:** AWS S3, AWS Glue, AWS Redshift, PySpark, Power BI

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect with excellent foundational skills in Python, data pipelines, and automation. However, there is a critical gap regarding the core MarTech stack (Segment, Braze), which is central to this role. While they possess transferable skills, the lack of direct experience in the required marketing platforms makes it a poor fit. **⚠️ Critical Gaps:** - Marketing Automation Platforms (Braze) - Customer Data Platform (Segment) **✅ Strengths:** - Deep experience in designing and building complex automated systems from scratch. - Strong, demonstrated expertise in Python for automation and data manipulation. - Proven fast learner with a track record of self-teaching and applying new, complex technologies. **❌ Missing Required:** Segment CDP, Braze, Reverse ETL, Customer Data Schema Design

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect and automation engineer with impressive inferred skills, but there is a critical gap in core performance engineering experience. The resume shows no evidence of using required tools like JMeter, Gatling, or APM suites, which are central to the role. **⚠️ Critical Gaps:** - Performance testing/engineering experience - Monitoring tools (Dynatrace, AppDynamics, Splunk) - Expertise in Gatling and JMeter **✅ Strengths:** - Strong automation and Python scripting skills - Proven ability to architect and build complex systems from scratch - Experience with cloud (AWS) and containerization (Docker) **❌ Missing Required:** Kubernetes, Azure cloud experience, Experience testing microservice architecture, Specific experience with performance tuning relational databases, Cloud testing tools (BlazeMeter, OctoPerf), Jenkins integration for performance scripts

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong match due to demonstrated hands-on experience in architecting and deploying complex automated systems, including self-hosted AI models. The career trajectory shows a clear and successful progression from systems analysis into AI infrastructure, aligning perfectly with the role's responsibilities. **✅ Strengths:** - Hands-on experience deploying AI (LLM) systems - Proven fast learner with a strong career trajectory toward AI - Deep experience in systems automation and integration

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] Candidate is a strong Systems Architect with proven Python, automation, and infrastructure skills. He has relevant experience building scalable systems and learns new domains quickly. The primary weakness is a lack of direct experience with the core required Big Data technologies (Hadoop, Spark), though his infrastructure background is adjacent. **✅ Strengths:** - Extensive Python & Automation Experience - Proven Fast Learner in Complex Technical Domains - Systems Architecture & Production Deployment **❌ Missing Required:** Hadoop, Spark, MapReduce, Java (strongly preferred)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect with proven leadership and a highly relevant background in logistics and automation. However, there is a critical gap in the required core technology stack (JavaScript/TypeScript/Node.js), as the candidate's experience is entirely in Python. While a fast learner, this mismatch makes them a poor immediate fit for a role demanding deep expertise in the Node.js ecosystem. **⚠️ Critical Gaps:** - The role requires deep, proven experience in the JavaScript/TypeScript/Node.js ecosystem, whereas the candidate's entire backend experience is in Python. **✅ Strengths:** - Systems Architecture & building systems from scratch - Leadership & operational ownership - Logistics & Supply Chain domain expertise **❌ Missing Required:** Node.js, TypeScript, Advanced AWS experience (Lambda, ECS, SQS, etc.)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit. He is a Systems Architect and AI specialist, while the role is a traditional Project Planner for the Oil & Gas industry. There is a critical gap in domain knowledge and required software skills like Primavera P6 and Microsoft Project. **⚠️ Critical Gaps:** - Candidate's experience is in Systems Architecture and AI/Automation, which is a completely different domain from Oil & Gas Project Planning. - The role requires specific project scheduling expertise and software (Primavera P6), which the candidate does not possess. **✅ Strengths:** - Strong technical background in systems automation - Proven fast learner with a history of self-teaching complex domains - Experience in supply chain analytics and procurement **❌ Missing Required:** 5-7 years of project planning experience in oil and gas, Primavera P6, Microsoft Project

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate possesses strong inferred project execution skills and a highly analytical background, but this role represents a significant step backward in complexity and career trajectory. The position is administrative/coordination-focused, while the candidate is a senior technical architect moving towards specialized AI infrastructure. **⚠️ Critical Gaps:** - Role is administrative/coordination-focused, while the candidate's experience and trajectory are deeply technical and architectural. **✅ Strengths:** - Exceptional analytical and problem-solving skills demonstrated through complex system architecture. - Proven ability to independently deliver large-scale, automated projects from concept to production. - Background in finance is relevant to the company's domain (FinTech). **❌ Missing Required:** Knowledge of project management standards, processes, procedures and guidelines (e.g., PMBOK), Ability to utilize project management software (e.g., MS Project)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technologist with proven fast-learning capabilities and relevant skills in automation (Shell Scripting, CI/CD). However, there is a critical domain gap; the role requires deep experience in the Microsoft Endpoint Management suite (SCCM/Intune), whereas the candidate's expertise lies in Linux-based Cloud and AI infrastructure. **⚠️ Critical Gaps:** - Microsoft Endpoint Management (SCCM/Intune) vs. Candidate's Linux/Cloud/AI background **✅ Strengths:** - Expert in automation and scripting (Shell Scripting/CI/CD) - Proven ability to self-teach complex technical domains - Deep Systems Architecture experience **❌ Missing Required:** SCCM/MECM, Intune, Modern Windows deployment (Autopilot, Task Sequences)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is fundamentally mismatched for this role. While possessing a Bachelor's in Engineering, their entire career trajectory, experience, and skillset are in software development, systems architecture, and AI infrastructure. The position requires a professional with a background in industrial construction project management, cost control for physical works (CAPEX/OPEX), and specific tools like MS Project, none of which are present in the candidate's profile. **⚠️ Critical Gaps:** - The candidate's domain is IT/Software/AI Systems Architecture, whereas the job is in Industrial/Civil Engineering and Construction Management. **✅ Strengths:** - Strong technical background in systems architecture and automation - Proven fast learner with a track record of self-teaching complex domains (AI, trading) - Experience managing complex technical projects from concept to production **❌ Missing Required:** CREA ativo, Experiência com planejamento e acompanhamento de obras industriais, Domínio de Gestão de Projetos (PMBOK) em ambiente industrial, Controle de Custos (CAPEX/OPEX) para obras, MS Project

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate is a poor fit. The role requires a Project Manager with BI dashboarding skills within the pharmaceutical industry. The candidate is a highly technical Systems Architect with deep experience in automation, AI infrastructure, and finance, but lacks the two critical requirements: BI tools and pharma domain knowledge. **⚠️ Critical Gaps:** - Experiência comprovada na criação e manutenção de dashboards de BI (Proven experience in creating and maintaining BI dashboards) - Experiência na indústria farmacêutica (Experience in the pharmaceutical industry) **✅ Strengths:** - Strong engineering and systems-thinking background - Proven ability to self-teach and master complex technical domains - Fluent English **❌ Missing Required:** Gerenciamento ou suporte a projetos (Formal project management/support), Gestão de parcerias estratégicas (Strategic partnership management)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled technical architect with a strong background in AI infrastructure and systems engineering. However, there is a critical domain mismatch; the role requires expertise in IT governance, risk, and compliance (GRC) frameworks like ITIL and Cobit, which are entirely absent from the candidate's hands-on, builder-focused profile. **⚠️ Critical Gaps:** - Candidate's experience is in technical systems architecture and AI engineering, while the job is in theoretical IT process, governance, and compliance. **✅ Strengths:** - Proven fast learner with a track record of self-teaching complex domains. - Strong career trajectory demonstrating intentional growth into technical fields. - Fluent in English and a native Portuguese speaker, matching job location. **❌ Missing Required:** ITSM, ITIL, Cobit, ITGC audit experience, Framework-based process documentation

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong match due to extensive, hands-on experience in architecting and automating complex systems (e.g., JIT inventory), which directly maps to the job's requirement for process improvement and structuring chaotic environments. His background in quantitative analysis and supply chain provides the advanced analytical and operational mindset required, even without formal 'Continuous Improvement' titles. **✅ Strengths:** - Proven ability to automate complex processes (JIT system) - Advanced analytical and quantitative skills (algorithmic trading) - Strong systems architecture and 'organize the chaos' mindset

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect with deep expertise in building custom automated systems and AI infrastructure from the ground up. However, there is a critical and fundamental gap between his experience and the job's requirements, which focus on administering commercial enterprise backup software (e.g., Veeam, Commvault). His career trajectory is moving towards advanced AI/systems design, not traditional IT operations. **⚠️ Critical Gaps:** - Core competency in enterprise backup and recovery solutions **✅ Strengths:** - Proven Fast Learner and self-starter - Deep infrastructure automation and Python scripting skills - Experience designing and building resilient, production-grade systems **❌ Missing Required:** Experience with dedicated backup software (Veeam, Commvault, etc.), Management of backup media (tapes, cloud), Execution of formal disaster recovery tests

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong technologist with an engineering background and proven ability to learn complex systems. However, he lacks direct experience in formal project planning for large-scale industrial projects and is missing proficiency with required software like MS Project, which are central to this role. **✅ Strengths:** - Engineering Degree - Advanced English - Proven Fast Learner & Systems Thinker **❌ Missing Required:** Previous experience in Project Planning (preferably EPCI projects), Advanced knowledge of MS Project, Familiarity with planning tools and processes (schedules, progress curves, WBS)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is a skilled Systems Architect with a strong background in AI, automation, and software, but this profile is a fundamental mismatch for the role. The position requires a Civil/Mechanical/Electrical Engineer with mandatory experience in pharmaceutical industry construction and an active CREA, which are critical gaps in the candidate's profile. The candidate is therefore disqualified based on hard requirements. **⚠️ Critical Gaps:** - Experiência em gestão de obras e projetos na indústria farmacêutica - CREA ativo (licença de engenharia) - Domínio de engenharia (Civil/Mecânica vs. Software/Sistemas) **✅ Strengths:** - Forte background em automação e arquitetura de sistemas - Experiência com metodologias ágeis (Scrum) - Capacidade comprovada de autoaprendizagem em domínios técnicos complexos **❌ Missing Required:** Experiência comprovada em gestão de obras e projetos (em indústria farmacêutica), CREA ativo, Certificados PMP - PMI, Boas Práticas de Fabricação, Metodologia FEL, SAP

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] This is a poor fit due to a fundamental domain mismatch. The candidate is a high-level Systems Architect focused on AI infrastructure and custom automation, while the job is a hands-on, operational IT Support role for traditional enterprise systems (Windows Server, Cisco, VMware, ITIL). The candidate's career trajectory is moving decidedly away from this type of position. **⚠️ Critical Gaps:** - Enterprise Networking (Cisco, Fortinet) - Windows Server Administration - Enterprise Virtualization (VMware, HyperV) - Enterprise Backup Solutions (Veeam, CommVault) - ITIL / ITSM Service Management **✅ Strengths:** - Proven Fast Learner & Self-Taught in Complex Domains - Exceeds English Language Requirement (Fluent vs. Intermediate) - Strong Background in Automation and Systems Design **❌ Missing Required:** Experiência em configuração e manutenção de Switches Cisco e firewalls Fortinet, Conhecimento em sistemas operacionais Windows server 2012 ao 2019, Ambientes de virtualização VMware, HyperV e Cloud (AZURE), Ferramentas de Backup Veem e CommVault, Aplicação de práticas e processos de ITIL

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit, demonstrating deep systems thinking and hands-on experience building and optimizing complex systems from the ground up, including self-hosted LLM clusters. The career trajectory shows a deliberate and successful progression into AI infrastructure, and the proven ability to self-teach complex domains aligns perfectly with a founding team role. **✅ Strengths:** - Hands-on AI infrastructure experience (self-hosted LLM clusters) - Proven systems architect with end-to-end project delivery - Strong career trajectory towards AI/systems roles **❌ Missing Required:** Knowledge of model optimization techniques (RLHF, finetuning)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit. His entire career has been about bridging business domains like Finance and Supply Chain with technology and systems architecture. He has direct, high-level experience in architecting supply chain automation (JIT system) and a formal education in Supply Chain Analytics from MIT, making him ideal for a 'transformation' role. The lack of a 'Green Belt' certification is minor compared to the demonstrated ability to deliver complex, data-driven systems from the ground up. **✅ Strengths:** - Deep Supply Chain & Technology Integration - Proven experience in process automation and transformation (JIT System) - Multidisciplinary background (Finance, Supply Chain, IT) ideal for a facilitator role **❌ Missing Required:** Green Belt

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technologist in software, AI, and systems architecture, but has a critical and disqualifying gap in the required domain. The role mandates project management experience in pharmaceutical construction and clean room expansions, of which the candidate has none. His background is in digital/software systems, not physical/industrial engineering projects. **⚠️ Critical Gaps:** - The candidate's experience is in software/IT systems architecture, while the job requires managing physical construction and engineering projects in the pharmaceutical industry. This is a fundamental domain mismatch. **✅ Strengths:** - Systems Architecture & Automation - Supply Chain & Logistics (from past roles) - Strong technical skills in Python and Cloud/Infrastructure **❌ Missing Required:** Experiência comprovada em gestão de obras e projetos (em indústria farmacêutica), CREA ativo, Certificados PMP - PMI