[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong analytical skills, extensive experience in process improvement, automation, systems architecture, and general operational management. They also possess a relevant engineering degree and a proven track record as a fast learner. However, a significant critical gap exists in explicit CAD software proficiency, which is a required daily activity for developing 3D models in this role. While other strengths are highly relevant, this specific technical deficiency for a core function is a major drawback. **Critical Gaps:** - CAD (ability to develop 3D models in specific engineering software) **Strengths:** - Exceptional Process Optimization & Automation expertise, with demonstrated impact on efficiency and cost reduction. - Proven Systems Architecture & Operational Management skills, effectively bridging business and technical requirements. - Strong Analytical & Communication capabilities, suitable for problem-solving and stakeholder engagement.

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] This is a critical domain mismatch. The role requires deep Windows/Microsoft infrastructure administration (Exchange 2016, Active Directory, Office 365, PowerShell scripting) - classic IT sysadmin work. The candidate's profile is operations/systems architecture focused on business process automation, supply chain, and e-commerce operations with no demonstrated Microsoft infrastructure experience. While he shows technical learning ability and systems thinking, the required skills are in a completely different technical domain. **Critical Gaps:** - Microsoft infrastructure administration - candidate's technical work is in business automation/operations, not IT infrastructure - Exchange Server experience - no evidence of email system administration - Active Directory management - no Windows enterprise environment experience shown **Strengths:** - English fluency (C2 certified) meets international communication requirement - Proven fast learner with self-taught technical capabilities - Strong operational discipline and process improvement mindset **Missing Required:** Exchange 2016 maintenance and configuration, Office 365 identity administration, Active Directory with DNS and GPO management, Advanced PowerShell automation scripting, Enterprise Windows infrastructure support

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] Candidate has strong systems thinking, automation experience, and proven technical learning ability, but lacks the core web development programming skills required (Python/Java/JavaScript/C++). While he demonstrates advanced Excel/VBA scripting and built a job scraping system, there's no evidence of professional web development experience or proficiency in the required languages. Critical language barrier: job requires Spanish proficiency, but candidate only lists Portuguese/English. **Critical Gaps:** - Spanish language proficiency (BLOCKING - required for role) - Core programming languages (Python/Java/JavaScript/C++) - no professional evidence - Web development experience - no demonstrated track record **Strengths:** - Proven fast learner with track record of self-teaching complex technical systems - Strong systems thinking and automation-first approach aligns with AI evaluation mindset - Bilingual English proficiency (C2) meets the 'working proficiency' requirement **Missing Required:** Bachelor's in Computer Science or related technical field (has Mechatronics/Robotics), Professional proficiency in Spanish (only Portuguese/English listed), Proficiency in Python, Java, JavaScript, or C++ with professional context

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] This is a poor fit. The role requires a TypeScript coding specialist with deep expertise in software engineering fundamentals, but the candidate's background is primarily in operations, finance, and systems automation with minimal coding experience. While he built a job scraping system, this doesn't demonstrate the advanced TypeScript, algorithm design, and software architecture expertise required. **Critical Gaps:** - TypeScript expertise - candidate has no demonstrated coding background - Software engineering fundamentals - algorithms and data structures - Frontend/Backend development experience **Strengths:** - Strong analytical mindset - Automation and systems experience - Clear communication skills **Missing Required:** Bachelor's in Computer Science/Software Engineering, Real-world TypeScript experience, Technical writing in software context, Open-source contributions

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating highly relevant inferred deep learning architecture knowledge from self-hosted LLM clusters, coupled with extensive experience in developing computational tools and strong analytical capabilities. His proven 'fast learner' ability and intentional career progression towards AI roles further enhance his fit for this AI-focused startup. **Strengths:** - Strong aptitude for complex AI/ML systems, demonstrated by self-teaching AI infrastructure (LLM clusters) and developing algorithmic trading bots, directly aligning with the deep learning architecture requirement through inference. - Proven track record in building and automating robust computational tools, evident from the rapid development of scraping/scoring engines, automated e-commerce workflows, and custom reporting tools, showcasing strong analytical and problem-solving capabilities. - Exceptional 'Fast Learner' with a clear career trajectory towards advanced technical roles; his continuous self-education and progression from finance/operations to systems architecture and AI infrastructure make him highly adaptable and valuable.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong capabilities in Systems Architecture, Automation, and Data Analytics, coupled with a proven 'Fast Learner' aptitude and relevant experience in regulated environments. However, there are critical and unbridgeable gaps in core required technical skills such as Java, Angular, and PL/SQL, which are fundamental for the application support and development responsibilities outlined in the job description. **Critical Gaps:** - Java - Angular - PL/SQL **Strengths:** - Strong Systems Architecture and Automation background. - Proven ability to rapidly learn and apply complex technical skills ('Fast Learner'). - Extensive experience in data integrity, analytics, and operational efficiency, particularly with ERPs and databases. **Missing Required:** Metodologias ágeis (explicit mention), Práticas DevOps (explicit mention), Oracle (specific expertise)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for the Analytics Engineer role, demonstrating extensive experience in data architecture, automated systems, and business-to-technical translation. While specific modern data warehousing terms and some niche analytical languages are not explicitly mentioned, the candidate's 'Fast Learner' trait and proven ability to build complex systems from scratch suggest rapid adaptation. The deep experience in financial markets and risk areas is a significant differentiator. **Strengths:** - Extensive experience in data-driven automation, ETL/ELT pipeline design, and quality/observability. - Proven ability to bridge business and technical requirements, abstract concepts into KPIs, and lead data projects end-to-end. - Strong background in financial markets and risk management, which are key differentiators for this role.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong leadership, systems thinking, and a rapid learning ability, crucial for an engineering manager role. However, there is a critical and complete lack of direct experience in mobile engineering team management, Flutter/native mobile development, and specific mobile architectural principles, which are core requirements for this 'App Core' leadership position. **Critical Gaps:** - Mobile engineering team management or senior mobile technical leadership - Strong technical background with Flutter and/or native mobile development (Android/iOS) **Strengths:** - Exceptional learning agility and ability to self-teach complex technical domains. - Proven track record of leadership and delivering results in ambiguous, fast-paced environments by building and optimizing systems. - Strong systems architecture and automation-first mindset with transferable skills in general infrastructure. **Missing Required:** Mobile software engineering principles, architectural patterns, and modularization strategies, Knowledge of mobile observability, monitoring, and debugging tools

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a critical mismatch. The job is a gig-work data annotation role requiring audio transcription and listening skills at $0.08/unit (~$3.60/hour). The candidate is a 33-year-old Systems Architect with 10+ years of experience in operations, automation, ERP systems, and technical leadership—vastly overqualified and misaligned in scope, compensation, and career trajectory. **Critical Gaps:** - Audio/speech processing domain - candidate has zero experience in transcription, linguistics, or audio data work **Strengths:** - Portuguese native speaker - Based in Brazil - Has reliable internet and computer **Missing Required:** Audio transcription experience, Attention to audio detail (candidate's background is systems/data/operations, not audio/listening tasks)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong profile for this role, demonstrating excellent engineering fundamentals, a proven track record of shipping complex systems to production, and significant self-taught expertise in AI infrastructure (LLM clusters) and algorithmic trading. While specific framework experience (PyTorch/JAX) is not explicitly stated, their ability to build production systems with zero prior experience, coupled with their founder background, makes them a fast learner and strong potential match for a fast-moving AI research environment. **Strengths:** - Proven ability to ship research/prototypes to production environments. - Strong engineering fundamentals and a systems architecture mindset. - Exceptional self-starter and fast learner with experience building complex, automated systems from scratch.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Candidate is an early-stage founder with direct, recent (2022–present) founder/operator experience building an automation-first business and governance—strongly aligned with an accelerator for fundraising readiness. Strong self-teaching, technical systems delivery, and measurable operational impact compensate for the lack of explicit documented fundraising rounds or investor-facing pitch history. **Strengths:** - Recent founder & Head of Engineering/Operations experience (stealth startup) - Built automation-first procurement/inventory systems with measurable operational impact - Proven fast-learner with technical and quantitative project history

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong transferable expertise in financial management, operational excellence, and systems architecture, coupled with a remarkable ability to learn and adapt quickly. However, the absence of direct experience with Google Ads and MCC environments, which are central to the portfolio and billing management responsibilities of this role, constitutes a significant limitation. **Critical Gaps:** - Direct, hands-on experience managing portfolios specifically within the Google Ads platform and its MCC structure. **Strengths:** - Exceptional fast learner with a strong track record of building and managing complex systems in diverse domains. - Proven expertise in financial controls, billing processes, and comprehensive operational management. - Strong analytical and problem-solving abilities, with a history of translating business needs into automated technical solutions and ensuring data integrity. **Missing Required:** In-depth functional knowledge of Google Ads' specific billing configurations, access management, and financial flow reconciliation processes.

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong system architecture, operational, and communication skills, coupled with a proven fast-learner trajectory and relevant domain experience. However, a critical gap exists in demonstrated experience with Ruby and JavaScript, which are fundamental requirements for a Ruby on Rails Developer role, significantly impacting the match despite other highly valuable inferred abilities. **Critical Gaps:** - Ruby on Rails application development (core to role) - JavaScript application development (core to role) **Strengths:** - Strong communication and collaboration skills with technical and non-technical stakeholders. - Proven ability to design and operate complex, scalable systems with an automation-first mindset. - Demonstrated 'Fast Learner' capability with a strong career progression towards technical/AI roles. **Missing Required:** +4 years of experience in software design and application development with Ruby and JavaScript

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] This is a poor fit. The candidate has strong operations, systems architecture, and supply chain analytics experience, but the Regulatory Manager role requires specialized regulatory compliance expertise in medical devices/healthcare - a completely different domain with no overlap. The candidate has no demonstrated experience in regulatory affairs, submissions, compliance frameworks, or the medical device industry. While the candidate shows strong learning ability, this role requires existing regulatory domain expertise. **Critical Gaps:** - Regulatory Affairs domain expertise - BLOCKING - Medical device/healthcare industry experience - BLOCKING - Compliance and regulatory submission experience - BLOCKING **Strengths:** - Strong analytical and systems thinking abilities - Proven ability to learn complex domains independently - Experience with documentation, compliance controls, and process improvement **Missing Required:** Regulatory Compliance expertise, Regulatory Submissions experience, Regulatory Affairs background, Medical device/healthcare industry experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general systems architecture, automation, and problem-solving skills, coupled with an exceptional learning ability. However, there is a critical and fundamental lack of experience in the core Oracle Database Administration domain, including specific technologies like RAC, Data Guard, and OCI, which are essential for this role. **Critical Gaps:** - Oracle Database Administration (DBA) expertise, including specific technologies like RAC, ASM, Data Guard, RMAN, Exadata, and Oracle Cloud Infrastructure (OCI). **Strengths:** - Exceptional fast learner with a proven track record of acquiring complex technical skills independently. - Strong background in systems architecture, automation, and end-to-end system development. - Demonstrated ability to translate business needs into technical solutions and manage complex projects. **Missing Required:** Advanced PL/SQL development and optimization, Oracle ATG support and administration, Oracle E-Business Suite (R12.2.x) support and administration

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-5.1] Perfil muito alinhado com Deployment Strategist: forte ponte operação–tecnologia, liderança de projetos end-to-end, modelagem de processos complexos e comunicação com C-level em contexto de alta ambiguidade. Demonstra alta agência, rápida curva de aprendizado e histórico de construir sistemas de automação e analytics do zero, o que casa diretamente com implantações complexas da Rivio. Principais lacunas são ausência de experiência explícita em saúde/faturamento hospitalar e menção direta a SQL, embora muito do stack analítico e técnico possa ser inferido. **Strengths:** - Experiência robusta fazendo a ponte entre operações/finanças/supply chain e arquitetura de sistemas, exatamente o tipo de interface operação–AI/product que a Rivio descreve. - Histórico claro de liderar iniciativas end-to-end sob alta ambiguidade, mapeando workflows reais, estruturando regras de negócio e entregando automação com impacto mensurável. - Alta agência e aprendizado rápido comprovados por construção de e-commerce automatizado e sistemas de trading/ATS-style do zero, alinhados com o valor da Rivio de gente que aprende rápido e constrói impacto real.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong automation, systems architecture, and operations experience, with direct evidence of building automation-first platforms and integrating business logic at scale. While not a pure full stack engineer, their rapid self-teaching, end-to-end system delivery, and experience with APIs, automation, and reporting align well with the job's core requirements. Some gaps exist in explicit recent experience with Node.js/React/AWS serverless, but adjacent skills and fast learner evidence mitigate most concerns. **Strengths:** - Automation-first system design and delivery - Rapid self-teaching and cross-domain execution - Operations and business-technical bridging at scale

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified as they do not meet the 'Mestrado completo' (full Master's degree) hard filter. Additionally, despite a strong Mechatronics Engineering background and proven systems thinking, their resume lacks explicit, recent experience in critical required areas like Fluid Mechanics, CFD modeling, Materials Science, 3D CAD, GD&T, and DFM/DFA, which are central to this product optimization role. **Critical Gaps:** - Mestrado completo (Hard Filter: Disqualified) - Core technical expertise in Fluid Mechanics, CFD, Materials Science, CAD, GD&T, DFM/DFA. **Strengths:** - Strong foundational degree in Mechatronics Engineering. - Demonstrated rapid learning ability and self-taught expertise in complex technical domains. - Proven skills in project management, communication, and bridging technical and business teams. **Missing Required:** Mestrado completo, Experiência com Mecânica dos Fluídos e Modelagem CFD, Experiência com Ciência e Engenharia de Materiais, Conhecimento de Modelagem 3D em CAD, Conhecimentos em Tolerância Estatística GD&T, Conhecimento sobre Processos de Fabricação com Foco em DFM e DFA

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for an SDE II role at Amazon, demonstrating extensive experience in automation, systems architecture, and a strong quantitative background. While specific programming languages are inferred rather than explicitly listed, the candidate's proven track record of building complex systems and a clear 'fast learner' trajectory significantly mitigates this, aligning well with Amazon's 'smart, proven engineers' philosophy. **Strengths:** - Exceptional track record in automation, systems architecture, and operational efficiency. - Proven 'fast learner' with extensive experience building complex systems, including AI/ML infrastructure. - Strong business acumen, quantitative skills, and ability to bridge business requirements with technical execution. **Missing Required:** Explicit listing of core programming languages (e.g., Python, Java, Go, JavaScript)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional general automation, systems architecture, and quality assurance principles, highlighted by his role in building and operating complex automated systems. However, the position of Mid-Level Web Quality Engineer specifically requires expertise in Playwright, React-based front-end testing, and other web-centric QA tools and practices, which are largely absent from the candidate's experience. This fundamental domain and toolset mismatch results in a poor fit for this specialized role. **Critical Gaps:** - Web Frontend Testing (React context) **Strengths:** - Exceptional automation and systems architecture experience - Strong focus on data integrity, KPIs, and measurable outcomes (core quality principles) - Proven fast learner with a clear technical career trajectory **Missing Required:** Playwright, Gherkin, Vanilla JavaScript, Postman, Microservices testing experience, Service-based architectures testing experience, Shift-left testing practices, Jira, Confluence, X-ray

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong engineering, systems architecture, and leadership skills relevant to structuring product areas, managing ERPs, and optimizing procurement, coupled with advanced English and a proven fast-learner track record. However, a critical gap exists in direct domain experience with photovoltaic products, energy storage systems, and project dimensioning within the solar energy sector, which are explicit and fundamental requirements for this Product Leader role. **Critical Gaps:** - Solar Energy Product Domain Expertise (Photovoltaic products, Energy storage systems, project dimensioning) **Strengths:** - Strong Mechatronics Engineering background and Systems Architecture expertise. - Proven leadership in structuring processes, governance, ERP management, and procurement. - Exceptional analytical, problem-solving, and cross-functional communication skills with advanced English. **Missing Required:** Vivência com produtos fotovoltaicos (módulos, inversores, estruturas, acessórios) e/ou sistemas de armazenamento de energia, Vivência com dimensionamento de projetos de geração e armazenamento de energia

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] While candidate has strong engineering fundamentals (Mechatronics) and systems thinking, they lack critical HVAC/climatization domain experience. Their background is primarily in operations automation, supply chain, and trading systems rather than technical HVAC engineering and client-facing technical sales. **Critical Gaps:** - HVAC/climatization engineering domain - BLOCKING - Technical sales and client support experience - BLOCKING **Strengths:** - Mechatronics Engineering degree (matches requirement) - English fluency (C2) - Systems thinking and technical problem solving **Missing Required:** HVAC project experience, Climatization systems knowledge, Technical sales support, Equipment dimensioning experience, Client-facing technical presentations

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptional match for a Marketing Science Product Engineer, demonstrating extensive experience in building robust, automated, data-driven systems with strong Python proficiency. While specific domain knowledge in Media Attribution and Bayesian modeling is not explicitly listed, the candidate's rapid learning capability, quantitative background, and focus on implementing complex logic align perfectly with the role's emphasis on engineering and product execution over methodological design. Their career trajectory and proven track record of creating production-ready solutions from scratch make them a strong asset for this implementation-focused position. **Strengths:** - Automation-First Systems Engineering & Product Implementation - Quantitative & Data-Driven Problem Solving (Trading Algorithms, Forecasting) - Rapid Learning & Technical Adaptability (Self-taught AI Infra, Algorithmic Trading) **Missing Required:** Familiarity with Media Attribution, Familiarity with Bayesian modeling

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Candidate has strong systems-architecture, automation and data/ERP experience plus a relevant mechatronics degree and clear fast-learning trajectory, but shows no evidence of hands-on CAE/FEA tooling or crash/fatigue testing experience required for this role. The profile is transferable in systems thinking and manufacturing/context but lacks the specific CAE toolchain and test-correlation background needed for immediate contribution. **Strengths:** - Proven systems architect who converts operational processes into resilient, automated systems - Strong data integrity, ERP experience and domain knowledge in procurement/supply chain - Fast learner with self-taught technical depth and demonstrated ability to deliver cross-domain solutions **Missing Required:** Hypermesh (Hyperworks) proficiency, LS-DYNA proficiency, PAM-Crash/Simfolder proficiency, Hands-on FEA analysis experience on automotive retention systems, Crash test correlation and sled/OoP experience

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You have strong systems thinking, automation, and fintech/operations experience, but the role expects a seasoned software engineer focused on developer experience, CI/CD, and cloud-native tooling at scale. The resume does not show hands-on work with microservices, Docker/Kubernetes/AWS, or building SDKs/CLIs and testing frameworks for large engineering teams, which are central to this position. Your fast-learning track record and process automation background partially offset these gaps but not enough for a strong match. **Critical Gaps:** - Hands-on experience with Docker, Kubernetes, and AWS for building and operating developer platforms - Proven track record designing and improving CI/CD pipelines and DevEx tooling at scale for large engineering organizations - Deep practical experience with microservices, event-driven architectures, and modern observability (metrics, logs, tracing) **Strengths:** - Strong background in turning messy operational processes into structured, automated systems with clear KPIs and controls - Relevant domain exposure in fintech/crypto and supply chain, showing ability to operate close to financial and transactional systems - Demonstrated fast-learning capacity and self-starting behavior in building custom systems and analytical frameworks without prior domain experience **Missing Required:** Explicit experience in a backend language used for tooling/platform work (Kotlin, Go, Java, or clearly stated Python in a recent role), Building internal tools, SDKs, CLIs, or frameworks widely used by other engineers, Designing and operating CI/CD pipelines with strong reliability, speed, and observability, Performance testing, distributed tracing, and load testing of production or pre-production systems, Experience implementing or owning automation-gated, deterministic deployments and high-integration test coverage

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong match with significant overlap in core competencies. Candidate demonstrates proven track record in e-commerce operations, data-driven decision-making, and rapid prototyping of technical systems. The transition from operations/supply chain to AI infrastructure shows intentional career progression toward the role. Primary gap is limited formal AI/LLM development experience, though 'Fast Learner' bonus and demonstrated ability to build complex systems from scratch (scraping + ATS engine) mitigates this substantially. **Strengths:** - Perfect domain fit: Head of Engineering for International E-commerce (2022-present) directly matches Solomon's e-commerce focus with proven scale (40-50 daily orders automated) - Data-to-decisions expertise: Transformed 4000+ ERP records into reliable forecasting; built automated procurement based on demand history—exactly the 'data to actionable insights' the role requires - Builder mentality + rapid execution: Built production scraping/scoring system in weeks without formal background; aligns with Solomon's 'execução acima da média' and 80/20 iteration philosophy

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong match with significant alignment in e-commerce operations, systems architecture, data infrastructure, and proven self-learning capability in AI/automation. The candidate's trajectory (operations → automation → AI infrastructure) directly maps to the role's need for AI product engineering in e-commerce. Missing formal software engineering background partially offset by demonstrated rapid prototyping (built ATS-style system in weeks) and 'fast learner' profile. The 10+ years bridging business-technical domains matches the entrepreneurial, product-focused nature of the role. **Strengths:** - E-commerce operations expertise with 40-50 daily orders automation (direct domain match) - Proven systems architect bridging business-technical domains (core requirement) - Demonstrated rapid learning: built production ATS system in weeks without formal programming background (matches 'enormous desire to learn and build' requirement) - Strong product mindset: focuses on measurable outcomes and ROI vs pure engineering - Entrepreneurial profile as founder/Head of Engineering (matches startup culture and autonomy needs) **Missing Required:** Formal programming experience in Python/JavaScript, Direct LLM/AI agent implementation experience, SQL query writing

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] Candidate demonstrates strong backend, AI infrastructure, and leadership skills, along with a significant track record as a fast learner. However, there is a critical gap in demonstrated frontend web development experience (React/Next.js and UI/UX) which is central to a 'Lead Product Engineer (Next.js)' role. Several other required skills like testing strategies and Agile/Scrum are also missing. **Critical Gaps:** - Advanced knowledge of React and Next.js - Strong experience across front-end development - Strong understanding of UI/UX principles and product design details **Strengths:** - Deep expertise and hands-on experience in AI infrastructure and Generative AI. - Strong technical leadership, system architecture, and automation-first mindset. - Proven fast learner with a clear career progression into technical/AI roles. **Missing Required:** Strong opinions and experience with testing strategies, A/B testing, and safe deployments, Experience working on Agile / Scrum teams

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong match for the Senior Product Engineer role, particularly excelling in the critical soft skills, leadership, and system-level thinking required. While lacking direct experience in the specified tech stack (.NET, C#, Terraform, Kubernetes), their proven 'fast learner' track record and adaptable engineering prowess significantly mitigate this gap, aligning well with the job's emphasis on learning and problem-solving over specific technologies. **Strengths:** - Exceptional leadership and project ownership (Head of Engineering, Founder). - Strong demonstration of intellectual rigor, resourcefulness, and technical excellence (proven fast learner with complex, self-taught projects). - Extensive experience in building and automating complex, data-driven systems, including consumer-facing products in regulated environments.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate has a Mechatronics Engineering degree (direct match), strong Python experience (automation, scripting), and a proven record of building and optimizing operational systems. However, there is no explicit or inferred experience with FEM/FEA, vibrational analysis, or test-based model validation, which are core to the CAE Engineer role. The candidate demonstrates strong self-learning and technical breadth, but lacks direct evidence of simulation/modeling expertise. **Critical Gaps:** - No demonstrated experience in FEM/FEA or vibrational/structural simulation **Strengths:** - Mechatronics Engineering degree - Advanced Python/data automation skills - Proven self-directed learning and technical breadth **Missing Required:** Hands-on FEM/FEA experience, Fatigue analysis, Model correlation/validation with experimental data

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture and automation background with proven production delivery (scraping, procurement automation, ERP/data-cleaning) and clear evidence of inferred Python and SQL/database skills. Lacks explicit, required experience with SQLAlchemy, Redis, Celery, GitLab and the specific Series A–C startup background called out in the JD, which lowers the match. **Strengths:** - Proven delivery of production automation (procurement + order workflows) and ERP data integrity improvements - Built scraping/ATS-style systems quickly — strong practical web-parsing and integration experience - Clear systems-thinking and stakeholder communication (bridging product, execs, and engineers) **Missing Required:** Series A–C startup experience (explicit), SQLAlchemy (not demonstrated), Redis (not demonstrated), Celery (not demonstrated), GitLab (not demonstrated)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, automation expertise, and infrastructure capability, but lacks the core technical requirements for this role: 5+ years professional software development (React/Node), AI engineering tool experience (OpenAI Codex/Claude Code), and hands-on agentic development workflows. While the job scraping system shows technical aptitude, it doesn't substitute for full-stack web development experience. The 4-year degree requirement is met (Mechatronics Engineering). **Critical Gaps:** - Professional software development experience (React + Node) - role requires 5+ years, candidate has operations/systems background with minimal coding - AI engineering tools experience (OpenAI Codex, Claude Code, etc.) - no evidence of hands-on use - Agentic development workflows - no demonstrated experience orchestrating AI-generated code **Strengths:** - Advanced English (C2 certified) - meets language requirement perfectly - 4-year engineering degree (Mechatronics) - meets education requirement - Proven fast learner with self-taught technical skills and automation-first mindset - Strong systems thinking and ability to build end-to-end solutions - Excellent stakeholder communication and technical-to-business translation **Missing Required:** 5+ years professional software development, Proficiency in React and Node.js, RESTful API development experience, Database management (MySQL/PostgreSQL/MongoDB), AI engineering tools (OpenAI Codex/Claude Code/Gemini CLI), Hands-on agentic development workflows, Code agents implementation, Cloud platforms (AWS/Azure/GCP), CI/CD pipeline creation and maintenance

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong leadership, systems architecture, and automation capabilities, coupled with a remarkable fast-learner profile. However, the core requirement for this role, extensive and specific experience with Microsoft Dynamics 365 CRM and its ecosystem (Power Platform, Dataverse, Dynamics SDK), is entirely absent, making the candidate a poor fit for a Lead Developer position in this specialized domain. **Critical Gaps:** - Microsoft Dynamics 365 CRM expertise is completely missing, which is a core and blocking requirement for a Lead Developer role in this specific platform. **Strengths:** - Proven leadership and mentorship experience in engineering and operations. - Exceptional transferable skills in general systems architecture, data modeling, and process automation. - Demonstrated fast-learner ability with a strong track record of self-education and building complex systems from scratch. **Missing Required:** Minimum 5 years of experience with Microsoft Dynamics 365 CRM, Strong expertise in solution architecture, customization, and data modeling specific to Dynamics 365, Proficient with Power Platform, Dataverse, and Dynamics SDK, Experience with integration technologies (Logic Apps, REST APIs, SQL Server) in a Dynamics 365 context, Ability to develop plugins, workflows, Power Automate flows, and custom UI components using TypeScript, C#, and FetchXML for Dynamics 365, Customization and enhancement of CRM capabilities across Sales, Customer Service, Field Service, and Marketing modules

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating over 10 years of relevant technical experience, profound system design capabilities, and direct experience in managing technical strategy and tradeoffs. Their proven ability to build complex systems from scratch, including inferred Python proficiency for trading bots and scraping engines, aligns perfectly with the SDE role. The 'Fast Learner' trajectory and strong application of inferred skills further enhance their fit. **Strengths:** - Extensive System Design and Architecture experience (10+ years) - Proven ability to build and deploy complex, large-scale systems (e-commerce automation, algorithmic trading, scraping/scoring engines) - Strategic technical leadership and tradeoff management skills

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong architecture, automation, and integration experience, with clear leadership and business-technical bridging skills. However, there is no evidence of direct Salesforce platform experience, Apex, or Salesforce certifications, which are critical requirements. Adjacent skills in Python, data modeling, APIs, and cloud concepts are present, but the lack of Salesforce-specific background is a major gap. **Critical Gaps:** - No direct Salesforce or Apex experience **Strengths:** - Systems architecture and automation - Business-technical communication - Proven fast learner with self-taught technical skills **Missing Required:** 4+ years Salesforce development/architecture, Salesforce Certified Technical/Application Architect

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong foundational skills in systems architecture, data management, and automation, coupled with a proven ability to learn complex technical domains quickly. However, the role is highly specialized in Microsoft Dynamics 365 and Power Platform, for which the candidate lacks direct, demonstrable experience. This significant platform-specific skill gap makes him a poor fit for this specialist position, despite transferable conceptual knowledge. **Critical Gaps:** - Microsoft Dynamics 365 and Power Platform ecosystem expertise **Strengths:** - Strong systems architecture, automation, and data integrity background. - Proven 'fast learner' with rapid acquisition of complex technical skills. - Excellent business-technical bridge capabilities and leadership experience. **Missing Required:** Dynamics 365 (all modules), Power Platform (all components), C#, TypeScript, FetchXML/QueryExpression, Azure services for D365 integration, Dataverse, Solution Packager, Automated testing frameworks (UI Flows, Selenium), CI/CD pipelines

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified due to the explicit mandatory requirement of the 'Microsoft Certified: Dynamics 365 Finance and Operations Apps Developer Associate' certification, which is not present on the resume. Furthermore, there is a critical gap in direct experience with Dynamics 365 Finance & Operations development, Azure Data Factory, and Microsoft Lifecycle Services, which are core requirements for this role. **Critical Gaps:** - Dynamics 365 Finance & Operations development experience **Strengths:** - Strong business-technical translation and collaboration skills with stakeholders. - Proven systems thinking, automation, and operational efficiency improvements. - Demonstrated problem-solving, data integrity, and general ERP understanding. **Missing Required:** Microsoft Certified: Dynamics 365 Finance and Operations Apps Developer Associate, Azure Data Factory, Microsoft Lifecycle Services (LCS)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and general technical problem-solving skills, supported by a proven 'fast learner' track record. However, the role critically requires proficiency in .NET/C# and React, which are not present in the candidate's explicit or inferred skill set, leading to significant critical gaps for this specific technology stack. **Critical Gaps:** - .NET/C# ecosystem for backend development - React for frontend **Strengths:** - Exceptional systems architecture and design capabilities, demonstrated through complex project builds and operational leadership. - Proven 'fast learner' ability, quickly acquiring new complex technical skills (e.g., AI infrastructure, algorithmic trading). - Extensive experience in automation, data integrity, and building robust, scalable operational systems. **Missing Required:** .NET/C# ecosystem for backend development, React for frontend

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, automation expertise, and technical problem-solving, but lacks the core required skill (C#/.NET development). While they have proven ability to learn new technologies rapidly and build production systems, the job requires hands-on C# experience which creates a critical technical gap. The candidate's operations/systems architecture background doesn't directly transfer to application development and support. **Critical Gaps:** - C# development - candidate has no demonstrated experience in C#/.NET stack, which is the primary technical requirement **Strengths:** - Fluent English (C2 certified - meets requirement) - Strong technical problem-solving and systems thinking - Proven track record of building and supporting production systems with high reliability **Missing Required:** C# application development and troubleshooting, Software development background in statically-typed languages

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong operational systems, ERP data-quality and automation background with Brazil localization and fluent Portuguese/English, but lacks the core SAP HCM / SuccessFactors functional and technical payroll experience required for the role. Fast-learner evidence and adjacent ERP experience reduce risk but do not substitute for decade-level SAP HCM/ABAP/S/4HANA expertise. **Strengths:** - Proven ERP data integrity and large-scale data cleanup (TOTVS) with governance - Built automation-first procurement/inventory systems producing measurable operational impact - Bilingual (Portuguese/English) and Brazil-based with domain knowledge in procurement/supply chain **Missing Required:** SAP HCM PY (Brazil Folha de Pagamento), 10+ years SAP HCM functional experience, SuccessFactors integration experience, ABAP Debug and Troubleshooting, S/4 HANA implementation experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional systems thinking, automation expertise, and a strong aptitude for self-taught, complex technical projects, which infer advanced programming skills (likely Python) required for the role. His fast-learner track record and intentional career trajectory into AI infrastructure align well with the job's demands for innovation and problem-solving. **Strengths:** - Exceptional problem-solving, systems thinking, and automation expertise demonstrated across diverse projects. - Proven 'Fast Learner' with a strong, intentional career trajectory towards modern technical/AI infrastructure roles. - Strong inferred programming skills (Python) through complex, self-taught projects like LLM clusters and algorithmic trading. **Missing Required:** Explicit declaration of proficiency in a listed object-oriented development language (mitigated by strong inference of Python).

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong transferable skills in systems architecture, automation, data integrity, and a notable capacity for rapid learning, evidenced by self-taught complex systems. However, there is a critical absence of direct experience with the core SAP MII ecosystem, including BLS, Query/Display Templates, and SAP Plant Connectivity (PCo), which are central requirements for this Senior Developer role. While general database and web service integration skills are inferred, the lack of specific industrial protocols and MES software knowledge further reduces the match. **Critical Gaps:** - SAP MII (12.x or 15.x) - BLS and MII Workbench transactions - Query and Display Templates - SAP Plant Connectivity (PCo) **Strengths:** - Strong systems architecture and automation experience across diverse operational domains. - Exceptional self-learner with a proven track record of rapidly acquiring and applying complex technical skills. - Proficient in general database operations, web service integrations, and C2 level English. **Missing Required:** Industrial protocols (OPC DA/UA, Modbus, MQTT), Specific MES software experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong general data engineering, automation, and system-building capabilities with proven proficiency in Python and SQL. However, they critically lack the mandatory domain experience in pharmaceutical and clinical trials, including hands-on experience with specific systems (CTMS, EDC, eTMF) and data standards (CDISC, SDTM) required for this highly specialized role, leading to disqualification. **Critical Gaps:** - Experience in pharma / clinical trials **Strengths:** - Strong automation and data pipeline building experience - Demonstrated proficiency in Python and SQL for complex system development - Proven ability to self-teach and adapt to new technologies quickly **Missing Required:** CTMS, EDC, eTMF, AWS Glue, AWS Airflow, AWS Athena, AWS EMR, Databricks, Spark, CDISC, SDTM, regulated (GxP) environments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong Python experience through automation, algorithmic trading, and systems engineering, with clear evidence of self-teaching and rapid skill acquisition. While direct experience with Django/Flask/FastAPI and AI agentic workflows is not explicitly stated, the resume shows adjacent skills in automation, system-building, and AI infrastructure, inferring capability to learn and apply these frameworks. The candidate meets all hard requirements except for explicit Python framework and agentic AI tool experience, but their trajectory and fast learner profile mitigate these gaps. **Strengths:** - Python automation and system-building - Self-taught AI infrastructure and trading bots - Intentional career progression toward technical/AI roles **Missing Required:** Direct experience with Python frameworks (Django, Flask, FastAPI), Hands-on experience with AI-assisted/agentic development workflows, Experience with AI engineering tools

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong fit on integrations, ERP data integrity, end-to-end automation and systems architecture with clear stakeholder impact and fast‑learner evidence. Main shortfall is lack of explicit, production-ready experience in the job’s core backend languages (Java/Go/Kotlin/C++/C#). **Strengths:** - Proven ERP/data integrity and integration experience at scale (4k+ records, automated controls) - End-to-end automation and systems architecture delivering measurable business impact - Fast learner with self-taught complex systems (trading, scraping, LLM infra) and strong stakeholder communication **Missing Required:** Proven production experience delivering code in Java/Go/Kotlin/C++/C# (required)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong backend and automation experience, with Python used for system-building and algorithmic trading. While direct experience with agentic AI frameworks and browser extensions is not explicit, the resume shows rapid self-learning, AI infrastructure work, and systems architecture, which infer relevant skills. Node.js and Angular are not directly mentioned, but adjacent experience in automation and system integration is present. **Strengths:** - Python backend and automation - AI infrastructure and systems architecture - Fast learner with proven self-teaching track record **Missing Required:** Direct agentic AI framework experience, Explicit Node.js proficiency, Chrome Extension development

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional experience in building data pipelines, ETL processes, and robust data modeling with significant business impact and scale. While there are gaps in specific Big Data (PySpark) and cloud technologies (Azure, general cloud environments), the candidate's proven ability to rapidly learn and implement complex systems, coupled with a strong career trajectory in technical and data-intensive roles, makes them an outstanding match for the core requirements. **Strengths:** - Extensive practical experience in data pipeline development, ETL, and data modeling with demonstrable business impact. - Proven 'Fast Learner' with a strong track record of self-teaching complex technical domains and building production systems. - Strong foundational understanding of data integrity, automation, and reporting, highly applicable to data engineering. **Missing Required:** PySpark, Cloud Environments (general experience)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] This is a POOR FIT due to critical skill gaps in required technologies. The role demands a Senior Full-Stack Developer with deep NodeJS/React experience, while the candidate's background is in Operations, Supply Chain, and Systems Architecture without demonstrated frontend/backend development expertise. Although the candidate shows strong systems thinking and automation capabilities, there's no evidence of professional software development in modern web technologies. **Critical Gaps:** - Professional full-stack development experience - candidate's background is Operations/Supply Chain, not software engineering - NodeJS and React expertise - no evidence of modern web framework development - Test-driven development practices - no mention of unit/integration testing experience **Strengths:** - Strong systems thinking and automation mindset - demonstrated through e-commerce workflow automation - Proven fast learner with self-teaching capability - built complex systems without formal programming background - Based in São Paulo with fluent English/Portuguese - meets location and language requirements **Missing Required:** Solid NodeJS experience, Strong React experience, Software architecture (microservices, event-driven), Relational/NoSQL database expertise (MariaDB, MySQL, MongoDB), Cloud environment experience (AWS/GCP/Azure), CI/CD pipeline implementation, Automated testing (unit, integration, e2e), OOP, SOLID, Clean Code practices, API development (REST/GraphQL), Web security practices

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You are strong on operations, automation, data integrity, and financial/quantitative analysis, which aligns with the team's focus on efficient, automated back-office processes. However, the role is a controllership/accounting position centered on accounting for financial instruments and IFRS 9, and your resume lacks explicit accounting qualifications, standards knowledge, and hands-on financial statement work. This makes you a partial but not core fit for the specific controllership mandate. **Critical Gaps:** - No demonstrated accounting for financial instruments and investment funds under IFRS 9, which is central to a controllership role in a financial institution **Strengths:** - Strong track record of automating and improving back-office and operational systems, directly relevant to the team's automation focus - Proven data integrity, forecasting, and reporting capabilities, including ERP data cleanup and custom reporting logic - High analytical ability and fast-learning profile with advanced Excel/VBA and demonstrated self-teaching in complex technical domains **Missing Required:** Strong knowledge of accounting for financial instruments (e.g., fixed income, derivatives, structured products) and investment funds, Understanding of key accounting standards and regulations including IFRS 9, Formal education/background in Accounting or Business Administration, Clear experience executing core accounting tasks for financial institutions (reconciliations, journal entries, financial statement preparation, regulatory reporting)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong AI infrastructure experience, enterprise operations leadership, and a proven ability to drive change and build systems from scratch. Communication, training, and cross-functional collaboration are evidenced through executive engagement, governance cadence, and clear reporting. While direct experience with Microsoft 365 Copilot is missing, adjacent AI tools and rapid self-learning mitigate this gap; community building and L&D are present via operational enablement and stakeholder management. **Strengths:** - AI/automation leadership - Executive communication and reporting - Rapid self-learning and enablement