[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] O candidato possui uma base excepcional em arquitetura de sistemas, automação com Python e infraestrutura de IA, demonstrada pela criação de clusters LLM próprios. No entanto, há uma lacuna crítica na experiência com as ferramentas específicas do ecossistema Microsoft (Power Automate, Copilot Studio, C#), que são o foco principal da vaga. **⚠️ Critical Gaps:** - Falta de experiência comprovada no ecossistema Microsoft Power Platform (Power Automate, Copilot Studio, Power Fx). - Ausência das linguagens de programação mandatórias: C# e JavaScript/TypeScript. **✅ Strengths:** - Profundo conhecimento em infraestrutura de IA (clusters LLM auto-hospedados) - Experiência comprovada em automação de processos de ponta-a-ponta (sistema JIT) - Forte background em arquitetura de sistemas e resolução de problemas complexos **❌ Missing Required:** Microsoft Copilot Studio, Power Automate, UiPath, Blue Prism, C#, JavaScript/TypeScript, Power Fx, Azure OpenAI

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is a highly skilled systems architect with deep experience in building backend automation and AI infrastructure. However, he is a poor fit due to a critical geographic mismatch (job is on-site in Campinas, candidate is in São Paulo) and a domain gap. The role requires applying business automation tools (n8n, Chatwoot, WhatsApp), whereas the candidate's experience is in building core infrastructure (LLM clusters, custom logistics). **⚠️ Critical Gaps:** - Geographic Mismatch: Job requires on-site work in Campinas, candidate is based in São Paulo. - Role Mismatch: Candidate is an Infrastructure Architect, while the job is for a Business Automation Integrator using specific SaaS tools. **✅ Strengths:** - Deep expertise in automation and scalable systems architecture - Proven 'Fast Learner' with a strong track record of self-teaching complex technical domains - Experience with Generative AI (self-hosted LLMs) and building production systems **❌ Missing Required:** Domínio de WhatsApp Web e WhatsApp Oficial, Vivência com Chatwoot, Evolution, n8n ou ferramentas similares, Trabalhar com tickets, SLA, engajamento e conversão

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato é um engenheiro de sistemas e automação muito competente, com forte experiência em Python e na construção de infraestrutura. No entanto, ele apresenta lacunas críticas em fundamentos de engenharia de dados para análise, como Data Warehousing, modelagem dimensional e SQL avançado, que são centrais para esta função. Apesar de sua capacidade de aprendizado rápido, a falta de correspondência com as habilidades principais o torna um ajuste fraco (POOR_FIT). **⚠️ Critical Gaps:** - Experiência fundamental em Engenharia de Dados para Analytics (Data Warehousing, Modelagem Dimensional, SQL Analítico) **✅ Strengths:** - Forte experiência em Python para automação e pipelines de dados operacionais - Capacidade comprovada de autoaprendizagem e adaptação a novas tecnologias (Fast Learner) - Experiência prática na arquitetura e construção de sistemas de produção complexos do zero **❌ Missing Required:** Domínio de SQL avançado (joins, funções de janela, CTEs), Conhecimento sólido em conceitos de Data Warehouse e modelagem dimensional, Familiaridade com práticas de qualidade de dados, linhagem, governança, Vivência com ferramentas de descoberta e catalogação de dados (Amundsen ou similares), Conhecimento em modelagem de dados para relatórios e dashboards (Power BI ou similares)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong architectural fit with deep, demonstrated experience in Python, systems design, and cloud infrastructure, aligning perfectly with the core engineering and leadership duties. The profile shows a clear progression towards this type of role. The main gaps are specific tools (Airflow, Power BI), which are considered learnable given the candidate's proven fast-learning track record. **✅ Strengths:** - Systems Architecture & Design - Python for Automation & Data - Cloud & On-Prem Infrastructure Leadership **❌ Missing Required:** Apache Airflow, Power BI

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate is a strong conceptual match with deep, proven experience in systems architecture and self-hosting AI infrastructure from the ground up. While lacking direct experience with the specified cloud platforms (GCP/Azure) and agent frameworks (LangChain/CrewAI), his demonstrated ability to self-teach and build complex production systems makes him a low-risk, high-potential candidate. **✅ Strengths:** - Deep AI Infrastructure Knowledge (Self-hosted LLMs) - Proven Systems Architecture (Automated JIT System) - Strong Python & Automation Skills **❌ Missing Required:** Experiência sólida em Microsoft Azure, Vivência com Google Cloud Platform (GCP), Domínio de desenvolvimento de agentes autônomos com frameworks (LangChain, CrewAI, Autogen), Experiência com avaliação e segurança de IA Generativa (RAGAS, NeMo Guardrails)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is automatically disqualified as this is an affirmative action position exclusively for people with disabilities (PCD), and the candidate's profile indicates they do not have a disability. While the technical skills are a strong match for the underlying roles, the candidate does not meet the non-negotiable demographic requirement for this specific talent pool. **⚠️ Critical Gaps:** - Does not meet the mandatory affirmative action requirement for people with disabilities (PCD). **✅ Strengths:** - Career trajectory towards Systems Architecture and AI Infrastructure aligns with the technical domains. - Proven fast learner with a track record of self-teaching complex systems. - Fluent in English, which is valuable for technical roles. **❌ Missing Required:** Affirmative action requirement: Person with disability (PCD)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong systems architect with proven automation skills and fluent English. However, they lack explicit experience in QA roles and, critically, in designing the reusable testing frameworks required by the job. Their background is in building operational systems, not QA frameworks. **⚠️ Critical Gaps:** - Lacks experience in creating testing and automation frameworks, which is the core responsibility of the role. **✅ Strengths:** - Advanced English - Proven experience in building complex automation systems - Strong self-learner with a technical trajectory towards complex systems **❌ Missing Required:** Experience in QA for software (manual), Experience designing and implementing test cases

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technical architect with a background in analytics and systems automation, but this role is for an operational, client-facing team supervisor. The candidate's career trajectory is moving decisively away from the core functions of this job, creating a significant mismatch in experience and career goals. **⚠️ Critical Gaps:** - Supervisão de equipes operacionais (Team Supervision) - Gestão de carteira de clientes (Client Account Management) **✅ Strengths:** - KPI & Performance Analysis - Process Improvement Identification - Fast Learner with Strong Technical Acumen **❌ Missing Required:** 3+ years experience supervising teams, Client-facing account management experience, Educational background in Business Administration or Commercial Management

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] Candidate possesses exceptional technical and data analysis skills, particularly with financial and unstructured data from his time as an analyst and trading bot developer. However, his profile is that of a deep technical architect, not a client-facing project manager. There is a significant gap in demonstrated experience managing external client implementations and onboarding, which is the core function of this role. **⚠️ Critical Gaps:** - Lack of demonstrated experience in a primarily client-facing project management role. **✅ Strengths:** - Deep understanding of financial data and systems - Proven ability to interpret stories from unstructured data (Analytics/Trading) - Strong technical architecture and problem-solving skills **❌ Missing Required:** Proven success in a project management capacity (client-facing), Experience working with clients (at enterprise scale)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong fit, demonstrating extensive experience shipping production-quality code using Python, a required language. Their recent role involved architecting and building a complex, automated backend system from scratch, which directly aligns with the job's core need for API and backend design expertise. The candidate's clear career progression towards systems architecture and proven ability to self-teach complex domains (like AI infrastructure) make them a top-tier applicant. **✅ Strengths:** - Deep Python expertise applied to production systems - Proven ability to architect and build end-to-end backend solutions - Strong career trajectory and demonstrated 'Fast Learner' capability

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is a strong match, demonstrating deep expertise in Python, SQL, and system automation. Crucial MLOps capabilities are strongly inferred from their experience building production-grade automated systems and self-hosting LLMs. The primary gap is a lack of stated experience with data visualization tools. **✅ Strengths:** - End-to-end System Architecture - Python-based Automation & API Integration - Infrastructure Deployment (Self-hosted LLMs) **❌ Missing Required:** Data visualization tools (Looker Studio, Power BI, Tableau)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong systems architect with impressive self-taught skills in AI infrastructure and automation. However, the role's core requirements of managing both backend and frontend software teams and using agile methodologies are not demonstrated in their experience, which focuses more on solo-led, backend-heavy projects. **⚠️ Critical Gaps:** - Frontend development/leadership experience **✅ Strengths:** - Deep systems architecture knowledge - Proven fast learner with AI/infra skills - Strong backend and automation experience with Python **❌ Missing Required:** Managing software development teams, Agile methodologies

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong fit. His hands-on experience in architecting and deploying complex automated systems, including self-hosting AI models, directly aligns with the 'AI Operations' title. His career trajectory and proven ability to self-teach and master new technical domains suggest he would excel in a dynamic, project-based AI ecosystem. **✅ Strengths:** - Deep, practical experience with AI infrastructure (self-hosted LLMs) - Proven ability to architect and automate complex systems from scratch (JIT inventory) - Strong sense of ownership and process optimization demonstrated by founding an automated business

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate's profile is a severe mismatch for this role. His expertise is in highly technical domains like AI infrastructure, systems architecture, and software engineering, whereas the job requires administrative and legal expertise in Human Resources, specifically payroll and Brazilian labor law. There is no overlap in skills or career trajectory. **⚠️ Critical Gaps:** - The candidate is a Systems/AI Engineer, while the role is a non-technical Human Resources Payroll Analyst. The domains are completely unrelated. **✅ Strengths:** - Proven fast learner in technical domains - Strong automation and systems-building mindset - Data analysis proficiency **❌ Missing Required:** Legislação Trabalhista (Brazilian Labor Law), Experiência com Folha de Pagamento (Payroll Experience), Conhecimento em Administração de Pessoal (Personnel Administration Knowledge)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] O candidato é desqualificado devido à falta de uma certificação legalmente exigida (NR 10). Além disso, há uma incompatibilidade fundamental entre o perfil do candidato (Arquiteto de Sistemas Sênior e especialista em IA) e a natureza da vaga (suporte administrativo e técnico de campo júnior). **⚠️ Critical Gaps:** - A ausência da Certificação NR 10 é um filtro eliminatório, pois é um requisito legal para a função. - O candidato é um arquiteto de sistemas de alto nível; a vaga é para suporte técnico de campo, representando domínios de trabalho completamente diferentes. **✅ Strengths:** - Capacidade comprovada de aprendizado rápido e auto-didatismo. - Experiência em design de sistemas complexos e automação. - Fluência em Inglês. **❌ Missing Required:** Certificação NR 10, Leitura e interpretação de desenho elétrico e mecânico

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate possesses exceptional analytical and problem-solving skills but is a severe functional mismatch for this junior-level role. His career trajectory shows a clear and intentional progression away from business analysis and towards deep, senior-level systems architecture and AI infrastructure. The core domain of 'Cobrança' (Collections) is entirely absent from his experience, representing a critical gap. **⚠️ Critical Gaps:** - Domain Experience: Candidate has zero background in 'Cobrança' (Collections), which is the core function of this role. **✅ Strengths:** - Exceptional analytical and problem-solving capabilities demonstrated through complex system design. - Proven 'Fast Learner' with a track record of mastering new, difficult domains (AI, Algorithmic Trading). - Advanced technical skills for data manipulation (Python, SQL). **❌ Missing Required:** Experience in strategic planning or MIS specifically related to financial services or call center operations.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit due to a critical gap in front-end skills (JavaScript/React) and a complete lack of experience in the required Java/Kotlin/Spring ecosystem. While they have outstanding strengths in backend architecture, Python automation, and AI infrastructure, these do not align with the core requirements of this full-stack Java developer role. **⚠️ Critical Gaps:** - Front-End Development (JavaScript, React.js) is required, but candidate experience is exclusively Backend/Infrastructure. **✅ Strengths:** - Systems Architecture & Integration - Python Automation & Data Processing - AI/LLM Infrastructure Deployment **❌ Missing Required:** Java, Kotlin, Spring/SpringBoot, JavaScript (3+ years), React.js

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect and automation engineer but has critical gaps in all required domain knowledge. There is no demonstrated experience in billing systems (SAP/CCS), the energy sector, or specific regulatory frameworks like REN 1000 ANEEL. His strengths are in general IT integration and systems design, but not in the specific business area of this role. **⚠️ Critical Gaps:** - Billing Systems (SAP/CCS, etc.) - Energy Sector Experience **✅ Strengths:** - Systems Architecture & Design - API Integration - Process Automation (Python) **❌ Missing Required:** Conhecimento da REN 1000 ANEEL, Conhecimento de processos de medição, cálculo, faturamento e emissão de faturas

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a near-perfect fit. He demonstrates exceptional, hands-on experience architecting and deploying automated, secure, production-grade systems from the ground up, which aligns directly with the core responsibilities of a DevSecOps Architect. While lacking explicit keywords for the specific toolchain (GitLab, ArgoCD), his resume lists 'CI/CD Pipelines', 'Terraform', and 'Docker', proving mastery of the underlying principles (IaC, containerization, automation) and making the specific tools a minor, easily-surmounted learning curve. **✅ Strengths:** - Deep, Practical Experience in Systems Architecture - Proven Mastery of Automation and CI/CD Principles - Strong Security Mindset (Privacy-first, SSO, RBAC) **❌ Missing Required:** GitLab, ArgoCD, SonarQube

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate exhibits strong architectural and systems-thinking skills, with proven experience in building complex, automated systems from scratch using Python and Docker. However, there is a critical gap in the primary required languages (Golang/Typescript) and a lack of demonstrated experience with key technologies like Kafka and monitoring tools. **⚠️ Critical Gaps:** - Required language is Golang or Typescript; candidate's experience is exclusively in Python. **✅ Strengths:** - Systems Architecture & Design - Python Automation - Infrastructure & Containerization (Docker) **❌ Missing Required:** Event Streaming (Kafka), Monitoring & Observability, Unit & Integration Testing

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate possesses a relevant engineering degree and strong technical project leadership, but there is a critical domain gap. His experience is in IT systems, e-commerce automation, and AI infrastructure, whereas the role requires specific expertise in automotive embedded electronics and OEM project management. **⚠️ Critical Gaps:** - Automotive Industry Experience - Embedded Electronics Project Management **✅ Strengths:** - Strong Engineering Background (Mechatronics) - Proven Fast Learner & Self-Taught in Complex Tech (AI) - Fluent English

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect with deep, modern infrastructure skills (Docker, Python, AI Clusters), but has a critical gap in hands-on corporate network management (firewalls, switches). While likely overqualified in architecture, he lacks experience in key administrative duties of the role like license and mobile device management, making it a poor fit despite his technical talent. **⚠️ Critical Gaps:** - Hands-on corporate networking (firewalls, switches) vs. modern cloud/AI-cluster networking **✅ Strengths:** - Proven Systems Architecture Design - Strong Automation & Scripting Skills (Python) - Fast Learner with Diverse Tech Experience **❌ Missing Required:** gestão de licenças de softwares e hardwares, manutenções em firewall, switches

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Lite] The candidate's resume was empty, preventing verification of essential requirements such as a Bachelor's degree and proficiency in Google Sheets/Excel. While the candidate meets the English language requirement and the provided context indicates a strong "Fast Learner" profile, the absence of resume data creates significant gaps. **✅ Strengths:** - English Proficiency (C2) - Fast Learner Profile - Strong Career Trajectory (provided context) **❌ Missing Required:** Bacharelado em Engenharia ou Arquitetura, Proficiência avançada em Google Sheets/Excel

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Lite] The candidate's resume is empty, preventing any assessment of demonstrated skills or experience. A critical gap exists in the required Mainframe/COBOL expertise, and the candidate's background suggests a trajectory away from legacy systems towards modern AI. While English proficiency is met, the lack of experience and a degree are disqualifying. **⚠️ Critical Gaps:** - Mainframe / COBOL environments - Bachelor’s degree in Engineering, Computer Science, Information Systems or related fields **❌ Missing Required:** Mainframe / COBOL environments, Systems development and troubleshooting in Mainframe / COBOL, Application support, incident analysis and vendor interaction, Lead technical topics and orchestrate stakeholders, Strategic mindset toward incident prevention and continuous improvement, Bachelor’s degree in Engineering, Computer Science, Information Systems or related fields

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Lite] The candidate's resume is empty, providing no information to assess their qualifications, experience, or skills against the job requirements for a Systems Coordinator in e-commerce. **⚠️ Critical Gaps:** - No verifiable qualifications from resume **❌ Missing Required:** Ensino superior completo em TI, Sistemas de Informação, Logística, Engenharia ou áreas correlatas, Experiência prévia em e-commerce e em operações fullcommerce ou similares, Vivência com gestão de equipes técnicas, Conhecimento consolidado em sistemas de backoffice: ERP, WMS e plataformas de e-commerce, Entendimento profundo do fluxo operacional 360 do e-commerce, Familiaridade com processos logísticos, Capacidade analítica e domínio de Excel avançado, Visão de projeto e organização, Experiência com ERP KPL, Conhecimentos em VTEX, Familiaridade com WMS SILT, Experiência com integrações via XML, JSON, APIs, Noções de banco de dados SQL

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Lite] The candidate demonstrates a strong technical foundation in infrastructure, evidenced by their Systems Architecture and AI Infrastructure roles, and a remarkable ability to learn and build complex systems. They show clear progression toward IT infrastructure domains, with strong inferred skills in on-premises and cloud environments. However, explicit experience in formal project management methodologies (PMI) and specific areas like service transition is missing, which are key requirements for an Infrastructure Project Manager. **✅ Strengths:** - Strong technical understanding and inferred skills in on-premises and cloud infrastructure. - Demonstrated ability to learn and execute complex technical projects. - Exceptional learning agility and continuous education drive. **❌ Missing Required:** Sólida experiência em gerenciamento de projetos de infraestrutura de TI, com domínio das melhores práticas do PMI., Experiência em Transição de Serviços e implementação de modelos de Serviços Gerenciados.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Lite] The candidate demonstrates a very strong alignment with the job requirements, showcasing excellent technical skills in Python, cloud platforms, and containerization, coupled with a compelling career trajectory towards AI infrastructure. While SQL proficiency is noted as a gap, their inferred skills and proven fast-learning ability make them a top-tier candidate. **✅ Strengths:** - Strong technical foundation and rapid learning ability, evidenced by self-taught AI/ML infrastructure and successful career transitions. - Proficiency in Python and related AI/ML infrastructure (LLM clusters), cloud platforms (AWS), and containerization. - Implied Bachelor's degree and demonstrated capability for enterprise-level data engineering tasks. **❌ Missing Required:** SQL

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Lite] The candidate is an exceptionally strong match, demonstrating a career trajectory and inferred skills directly aligned with the role's requirements. Their background in AI infrastructure and systems architecture strongly suggests proficiency in programming, test automation, API testing, and CI/CD, while their fast-learning ability and prior experience in finance provide a solid foundation for understanding AI-driven financial systems. **✅ Strengths:** - Proficiency in testing complex AI/ML systems (inferred) - Strong programming and systems architecture background - Fast learner with proven self-teaching capabilities - Career progression towards AI and technical roles

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Lite] The candidate is disqualified due to missing the mandatory Advanced Spanish language requirement specified in the job description. **⚠️ Critical Gaps:** - Espanhol Avançado **❌ Missing Required:** Ensino superior completo em Administração, Enfermagem, Farmácia, Química, Biomedicina e/ou Áreas Correlatas, Experiência em gerenciamento de projetos

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Lite] The candidate presents a very strong profile, aligning closely with the senior AI role requirements. Their demonstrated experience in building self-hosted LLM clusters and production AI systems, coupled with a background in Systems Architecture, covers most essential skills like Python, containerization, Kubernetes, and GenAI. Notable gaps exist in Kafka and Elasticsearch, but these are addressable. **✅ Strengths:** - Deep expertise in LLMs/GenAI and associated production infrastructure (vLLM, KServe, self-hosted clusters) - Strong background in Systems Architecture and hands-on experience with containerization and orchestration (Kubernetes/OpenShift) - Demonstrated ability to learn rapidly and build complex end-to-end AI systems **❌ Missing Required:** Kafka, Elasticsearch, OpenSearch

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Lite] The candidate possesses strong foundational attributes like being a fast learner, fluent in English, and based in Brazil. However, the critical requirements of specific professional experience (3-5 years in strategic consulting/PMO), demonstrated soft skills (organization, communication, stakeholder management), and business acumen for project execution are completely unverified due to the empty resume. Furthermore, the candidate's career trajectory towards AI infrastructure may represent a domain and role mismatch for this strategic project management position in financial technology. **⚠️ Critical Gaps:** - Potential domain mismatch: Candidate's AI infrastructure focus may not align with the strategic project management needs of a financial tech company. **✅ Strengths:** - Fast Learner - English Proficiency (C2) - Based in Brazil **❌ Missing Required:** 3-5 years of experience in strategic consulting/management consulting/corporate strategy or PMO/project management, Demonstrated organizational skills, Demonstrated communication skills, Demonstrated stakeholder management, Demonstrated analytical skills, Demonstrated business acumen for project relevance, Demonstrated hands-on and detail-oriented execution, Excel proficiency, PowerPoint proficiency

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Excellent candidate with a proven track record of architecting complex, automated data systems from scratch. While lacking direct experience in Snowflake/Databricks, their deep expertise in Python, SQL, and infrastructure (AWS, Docker), combined with a fast-learner profile, makes them a strong match who could onboard to the required stack quickly. **✅ Strengths:** - Deep Python & Automation Expertise - Proven Systems Architecture (JIT System) - Strong Problem-Solving & Self-Learning Ability **❌ Missing Required:** Databricks, Snowflake, WebScraping

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong systemic thinker with a perfectly matching educational background in Mechatronics Engineering and proven expertise in building complex automation systems from scratch. However, there is a critical domain gap between their experience in e-commerce/finance and the job's requirement for industrial process control (oil & gas, Modbus, HMI). The missing 'Active CREA' is a potential disqualifying factor. **⚠️ Critical Gaps:** - Domain experience in industrial control systems vs. IT/e-commerce systems - Active CREA certification is not mentioned and may be a legal requirement **✅ Strengths:** - Bachelor's Degree in Mechatronics Engineering - Proven ability to architect and build complex automation systems (JIT) - Advanced Python skills for automation and data analysis **❌ Missing Required:** Active CREA, Experience with industrial protocols (Modbus, Profibus, etc.), Experience in upstream oil and gas processes

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] This is a poor fit. The candidate is a highly skilled Systems Architect and AI Engineer, while the job is for a hands-on, industrial Field Inspector in pipeline construction. There is a fundamental domain mismatch; the candidate's experience is in software, automation, and data systems, not in civil/mechanical construction, safety norms, or field inspections. **⚠️ Critical Gaps:** - The candidate has zero experience in the job's core domain: industrial construction, pipeline assembly, and on-site project supervision. The career trajectory is moving away from physical operations towards high-tech AI infrastructure. **✅ Strengths:** - Extensive experience in project planning, data analysis, and process automation from supply chain and finance roles. - Bachelor's Degree in Mechatronics Engineering is related to the requested technical fields. - Proven fast learner with a track record of mastering new, complex domains. **❌ Missing Required:** 10 years of experience in activities *similar* to the scope of services, Normas de Segurança do Trabalho, Normas Técnicas de Construção, Montagem de Dutos

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit, bordering on overqualified. He doesn't just meet the core requirement of process automation; he has a proven track record of architecting entire automated systems from scratch using Python and APIs. His deep experience in logistics and supply chain, combined with self-taught expertise in AI infrastructure, makes him an ideal candidate for a role focused on agile innovation and prototyping. **✅ Strengths:** - Deep Automation & Systems Architecture Experience - Extensive Logistics & Supply Chain Domain Knowledge - Advanced AI/LLM Infrastructure Skills

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect with proven experience in designing complex, automated systems from the ground up, particularly with Python and infrastructure tools like Docker. However, there is a critical gap between his Python-centric background and the job's core requirement for expertise in .NET and a wide range of frontend/mobile frameworks (React, Angular, Kotlin, etc.). **⚠️ Critical Gaps:** - The role requires deep experience in .NET and multiple frontend/mobile development frameworks, whereas the candidate's entire development experience is in Python and infrastructure scripting. **✅ Strengths:** - Proven ability to architect, build, and deploy complex, automated systems from scratch (e.g., JIT inventory system, self-hosted LLM clusters). - Strong experience in infrastructure as code (Terraform), containerization (Docker), and cloud fundamentals (AWS). - Demonstrated 'Fast Learner' with a clear career trajectory moving towards complex systems and AI infrastructure. **❌ Missing Required:** .NET, Mensageria (RabbitMQ, Kafka), Desenvolvimento nativo e multiplataforma (Kotlin, Swift, Flutter, React Native), Desenvolvimento web (React.js, Angular, Next.js), Monitoramento e observabilidade (Jaeger, Sentry), Segurança de aplicações (OWASP), Kubernetes

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit. While they possess a strong foundation in SQL, systems architecture, and Python, they have a critical and blocking gap in the core required technology: Informatica ETL. Their experience is in modern, code-centric data systems and AI, which is a fundamentally different domain from the enterprise ETL environment this role operates in. **⚠️ Critical Gaps:** - Informatica ETL Platform Experience **✅ Strengths:** - Strong SQL Foundation - Systems Architecture Mindset - Proven Fast Learner **❌ Missing Required:** Informatica, Experiência com SQL em Oracle

[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