[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a very strong match, possessing significant experience in e-commerce, solution architecture, and leadership, directly aligning with core job requirements. While some specific JS frameworks and methodologies are not explicitly listed, the candidate's 'Fast Learner' trait and demonstrated ability to build complex systems with core modern technologies like Python, AWS, SQL, CI/CD, and AI/ML bridge most gaps, indicating high adaptability and capability for the role. **✅ Strengths:** - Strong E-commerce/Marketplace experience with demonstrated impact (JIT system). - Proven leadership and management skills in highly technical environments. - Exceptional 'Fast Learner' ability with direct relevance to innovative tech (AI/ML, Cloud). **❌ Missing Required:** JavaScript frameworks (Angular, React, Node), Middleware, mobile, and content management experience, Multiple methodologies (Agile/Scrum, Waterfall, etc.), 15 years of experience in solution architecture (candidate has ~12 years)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in system architecture, automation, and Python-based data processing, demonstrating a rapid learning ability and a clear career progression towards technical and AI roles. However, a significant gap exists in the required mastery of specific AWS data services, which is critical for the role. **⚠️ Critical Gaps:** - Domínio de serviços AWS (S3, Glue, Redshift, Lake Formation, Athena) **✅ Strengths:** - Proven ability to architect and implement complex, production-grade automated systems, particularly with Python. - Strong demonstrated capacity for rapid self-learning and intentional career growth in advanced technical and AI domains. - Extensive experience in developing and managing data flows, automation scripts, and CI/CD pipelines. **❌ Missing Required:** Experiência em engenharia de dados (streaming pipelines), Vivência em transformação de dados (PySpark)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate demonstrates strong systems thinking and architectural abilities with 10+ years experience building production systems. However, this role requires deep Databricks expertise and enterprise data platform experience that are not present in the resume. The candidate has foundational Python/SQL skills and AWS basics, but lacks the 8+ years data engineering specialization and hands-on Databricks experience that are hard requirements. The 'AWS Basics' notation suggests surface-level cloud knowledge vs. the deep AWS architecture expertise needed. **⚠️ Critical Gaps:** - No Databricks experience (primary technology requirement) - Lacks 8+ years data engineering/architecture specialization (has ~10 years but in different domains) - No demonstrated experience with enterprise-grade data platforms - Limited AWS depth (resume states 'AWS Basics' vs. required deep expertise) **✅ Strengths:** - Strong systems architecture mindset with proven track record building production systems from scratch - Excellent bridge between business and technical domains (Supply Chain/Finance + Engineering) - Demonstrated 'fast learner' profile with self-directed AI infrastructure and automation projects **❌ Missing Required:** Databricks production experience, PySpark hands-on expertise, Enterprise data platform design, Deep AWS architecture knowledge, Distributed data systems experience, 8+ years in data engineering/solution architecture domain

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in practical systems architecture, AI infrastructure, and complex system design, aligning well with the role's core responsibilities. While demonstrating an impressive fast-learner aptitude and relevant experience, there's a critical gap in explicit advanced proficiency with formal Enterprise Architecture Frameworks and a slight shortfall in the required 12 years of experience. **⚠️ Critical Gaps:** - Advanced proficiency in Enterprise Architecture Framework **✅ Strengths:** - Extensive practical experience in designing and delivering complex, automated systems and AI infrastructure. - Strong 'Fast Learner' profile with a demonstrated ability to acquire and apply new technical domains rapidly. - Proven ability to bridge business goals with technical architecture and collaborate across teams. **❌ Missing Required:** Advanced proficiency in Enterprise Architecture Planning

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a very strong match for the Solution Architect role, demonstrating extensive experience in system design, infrastructure, and automation, directly aligning with most core requirements. Key strengths include practical API integration, CI/CD, security expertise, and a proven track record of architectural leadership and trade-off analysis. The primary areas for improvement are the explicit mention of Kubernetes and specific Web Portal modernization experience, though these are largely mitigated by inferable skills. **✅ Strengths:** - Solid Solution Architecture and System Design Experience (10+ years, including founder role) - Strong hands-on technical skills in Infrastructure, Automation (Docker, CI/CD, Python, APIs, Linux, Security) - Demonstrated ability in Technical/Business Trade-off Analysis and delivering ROI-focused, resilient systems **❌ Missing Required:** Experiência em modernização/migração de portais Web

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a very strong profile for an Infrastructure Architect role focused on SRE, Observability, and Always On principles, demonstrated through hands-on experience building resilient and automated production systems, including self-hosted AI clusters. The primary gap is the lack of explicit ServiceNow experience, a specific required tool. **✅ Strengths:** - CI/CD Pipelines Expertise - High Availability & Operational Resilience Architectures - Robust Automation and Systems Integration **❌ Missing Required:** ServiceNow experience

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents extensive experience in operational and integration architecture, demonstrated by architecting and implementing complex systems like an automated JIT inventory and self-hosted AI clusters. While a strong technical background, fast learner, and relevant domain expertise are clear strengths, a specific gap exists in the advanced proficiency of enterprise architecture frameworks (e.g., TOGAF) explicitly required by the role. **✅ Strengths:** - Extensive experience in Operational and Integration Architecture, demonstrated by building complex, automated systems. - Proven ability to design, implement, and operate production-grade solutions with strong business impact (e.g., JIT inventory, LLM clusters). - Strong foundation in core infrastructure technologies (Docker, Terraform, Linux, Git/GitHub) and a track record of continuous learning and technical progression. **❌ Missing Required:** Proficiência avançada em Arquitetura de Frameworks (TOGAF, Zachman, ArchiMate ou similares)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a compelling profile with extensive solution architecture and data engineering experience, particularly strong in Python, SQL, and building complex, automated systems. While their 'Fast Learner' trait and career progression are significant strengths, the explicit requirements for deep, hands-on expertise in Databricks, PySpark, and AWS are critical gaps that reduce the overall match quality. **⚠️ Critical Gaps:** - Databricks (production and architectural experience) **✅ Strengths:** - Proven Solution Architecture and Systems Integration experience with a strong track record of building automated, production-grade systems. - Deep expertise in Python and SQL, applied at scale in various data-intensive projects. - Demonstrated 'Fast Learner' ability and a clear, progressive career trajectory towards technical and AI infrastructure. **❌ Missing Required:** Deep, hands-on AWS expertise, PySpark

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate possesses robust technical architecture and system implementation skills, demonstrating a strong aptitude for self-learning and building complex, automated solutions from the ground up. However, the role is explicitly within the 'Global Sustainability Practice' and requires extensive experience and deep understanding of the sustainability industry, which are entirely absent from the candidate's resume, creating a critical domain mismatch. **⚠️ Critical Gaps:** - 5+ years of experience in the sustainability industry - Deep understanding of sustainability industry trends, challenges, opportunities **✅ Strengths:** - Strong technical architecture and system implementation skills (e.g., JIT inventory, LLM clusters, trading bots) - Proven ability to self-teach and master complex technical domains (e.g., AI infrastructure, algorithmic trading) - Extensive experience in full lifecycle system design, automation, and operational excellence across various industries **❌ Missing Required:** Ability to listen and understand prospect/customer sustainability “pain points”, and address those pains by mapping to Schneider Electric strategy, technology, and consulting solutions (specifically within the sustainability context)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general architecture, leadership, and system integration capabilities, alongside a clear track record as a fast learner. However, the core requirements of the role are deeply rooted in the SAP SuccessFactors ecosystem, an area where the candidate shows no explicit or inferable experience, creating a significant and blocking domain mismatch. **⚠️ Critical Gaps:** - Required skill in completely different domain: SAP SuccessFactors ecosystem **✅ Strengths:** - Strong architecture and system integration experience - Proven technical leadership and communication skills - Exceptional fast-learner with diverse technical domain exposure **❌ Missing Required:** Experiência comprovada como Arquiteto SAP SuccessFactors, Conhecimento avançado em SAP HCM, Conhecimento avançado em SAP SuccessFactors, Conhecimento avançado em ABAP HCM, Conhecimento avançado em BTP/CPI, Experiência com Integration Center, Experiência com APIs OData (SAP context), Experiência com SCPI, Desenvolvimento de extensões no SAP BTP (CAP – Node/Java)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong technical foundation with systems architecture experience and cloud basics. Candidate demonstrates hands-on infrastructure work (Docker, Terraform, CI/CD) and has built production systems from scratch. However, lacks enterprise-level cloud platform depth (Azure/AWS/GCP PaaS services), messaging systems (Kafka/RabbitMQ), and formal architecture documentation tools (UML, C4, ArchiMate). The 3x/week on-site requirement in São Paulo may be a logistical challenge. Fast learner with proven ability to master complex technologies independently (self-hosted LLMs, automated JIT systems). Age and system-building experience suggest strong adaptation potential. **✅ Strengths:** - End-to-end system architecture: Built production-grade automated e-commerce platform achieving 95%+ inventory accuracy with zero manual intervention - Infrastructure as Code & DevOps: Hands-on Terraform, Docker, CI/CD pipelines, Git/GitHub - solid foundation for cloud-native development - Security awareness: Demonstrated SSO (OIDC/SAML), RBAC, AI privacy concerns - understands modern security practices **❌ Missing Required:** Enterprise cloud platform depth (Azure/AWS/GCP PaaS), Message broker experience (Kafka or RabbitMQ), GraphQL implementation, Formal architecture documentation (UML/C4/ArchiMate)

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] Candidate has strong general software architecture, automation, and systems integration experience, but lacks the core ServiceNow platform expertise that is absolutely required for this senior architect role. While the candidate demonstrates excellent problem-solving abilities, technical breadth (Python, Docker, CI/CD), and relevant domain experience in operations optimization, the position explicitly requires deep ServiceNow product knowledge, CSDM certification knowledge, and proven ServiceNow implementation experience. This is a specialized platform architect role, not a general solutions architect position. **⚠️ Critical Gaps:** - Zero ServiceNow platform experience - this is a specialized ServiceNow architect role requiring deep product knowledge - No CSDM (Common Service Data Model) knowledge - listed as mandatory requirement - No demonstrated ServiceNow module expertise - position requires knowledge of multiple ServiceNow products - No ServiceNow implementation or consulting background **✅ Strengths:** - Strong systems architecture and automation mindset - proven ability to design end-to-end automated solutions from scratch - Excellent operational optimization experience - directly relevant to ServiceNow's operational efficiency focus areas - Solid technical foundation in Python, CI/CD, Docker, and infrastructure - transferable skills for platform development **❌ Missing Required:** Proven experience as ServiceNow Implementer/Solution Architect/Technical Architect, Solid ServiceNow development and architecture experience, Advanced knowledge of multiple ServiceNow platform products, Mandatory CSDM knowledge, ServiceNow SDLC and project delivery experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents as a highly capable systems architect and fast learner with strong general technical skills and relevant domain experience in e-commerce and supply chain. However, there is a fundamental and complete absence of experience with the Salesforce platform, which is a core requirement for this Technical Architect role. Furthermore, the mandatory Spanish language proficiency is not met, leading to disqualification. **⚠️ Critical Gaps:** - Lack of Salesforce platform expertise - Missing mandatory Spanish language proficiency **✅ Strengths:** - Strong general systems architecture and integration capabilities - Proven fast learner with a track record of building production systems in new domains - Relevant domain experience in e-commerce and supply chain (adjacent to retail) **❌ Missing Required:** Salesforce Industries (SFI) expertise, Sales Cloud architecture and customization, Salesforce configuration, Apex, LWC, Flows, Salesforce security, sharing, and performance optimization (Salesforce-specific)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong technical background, extensive experience in infrastructure design, and a clear career progression towards technical and AI roles. However, a significant gap in direct, in-depth experience architecting and operating solutions specifically on AWS severely impacts the match for this AWS-focused Solutions Architect role, despite their foundational AWS knowledge and ongoing certification. **⚠️ Critical Gaps:** - Extensive experience architecting/operating solutions built on AWS (as opposed to general infrastructure or local setups) **✅ Strengths:** - Extensive general infrastructure and systems architecture experience (13.5+ years) - Proven track record as a 'Fast Learner' and builder of complex systems from scratch - Deep expertise in modern architectures, particularly containerization and CI/CD pipelines

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating deep architectural and hands-on experience in building and operating e-commerce systems, DevOps, and distributed architectures. While specific platforms like VTEX and certain observability tools are not explicitly mentioned, the candidate's fast-learner profile, relevant domain expertise, and proven track record of constructing complex production systems significantly mitigate these minor gaps, indicating a high capability to adapt quickly. **✅ Strengths:** - Extensive, hands-on experience in building and operating e-commerce businesses, including complex integrations and automation. - Strong foundational architectural understanding (distributed systems, microservices, clean architecture) and modern DevOps practices (CI/CD, Docker, Terraform, Git, Linux). - Proven track record as a fast learner and builder, demonstrating rapid adoption of new technologies (e.g., self-hosted AI infrastructure) and strategic leadership as a founder. **❌ Missing Required:** VTEX (specific e-commerce platform), Messaging (explicit mention/proven application)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for the Solution Architect role, demonstrating extensive hands-on experience in architecting and deploying complex, automated systems, including AI infrastructure and JIT inventory solutions. Their career trajectory, combined with explicit technical skills like Clean Architecture, Python, Docker, and a strong 'Fast Learner' profile, aligns perfectly with the job's requirements for innovation and digital transformation. While specific Kubernetes-as-a-Service familiarity is missing, the overall technical depth and rapid learning ability make them a standout candidate. **✅ Strengths:** - Extensive experience in Solution Architecture, with a proven track record in building and deploying complex, automated systems from concept to production. - Strong technical foundation in Python, Clean Architecture, Docker, and system integration, coupled with a deep understanding of operational resilience and ROI. - Demonstrated 'Fast Learner' capability and a clear, intentional career progression into advanced technical and AI infrastructure roles. **❌ Missing Required:** Kubernetes as a Service (GKE, EKS, AKS, OKE)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses a strong background in software engineering, AI infrastructure, and data analytics, with a clear career trajectory in technical roles. However, the job description is for an architectural design and construction management position, representing a fundamental domain mismatch. Most required architectural skills are entirely absent. **⚠️ Critical Gaps:** - Expertise in architectural design and construction management principles - Practical experience with architectural documentation and technical drawing tools - Knowledge of building materials, construction methods, and regulatory compliance specific to architecture **✅ Strengths:** - Demonstrated strong problem-solving and systems thinking - Proven ability for rapid self-learning and continuous technical growth - Extensive experience in building and deploying complex technical systems **❌ Missing Required:** Architectural project development and layout skills, Ability to supervise construction and renovation projects, Proficiency in creating detailed architectural plans and specifications, Understanding of relevant urbanistic and environmental policies

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-5-mini] Strong technical systems background and fast-learning evidence, but the role requires an enrolled Architecture student and demonstrable architectural drawing/representation experience — domains the candidate does not show. Transferable skills (technical drafting fundamentals, research, project delivery) exist but do not overcome the critical mismatch. **⚠️ Critical Gaps:** - Not currently enrolled in an Architecture degree program (blocking internship eligibility) - No evidence of architectural technical drawing / BIM skills (core to daily tasks) - No portfolio or demonstrable architecture/academic design work **✅ Strengths:** - Systems architecture and end-to-end project delivery - Strong automation and tooling skills (Python, scripting, CI/CD) - Analytical problem-solving and research-oriented approach **❌ Missing Required:** Cursando a partir do 5º semestre (enrolled Architecture student), Disponibilidade para trabalho presencial na Vila Olímpia - São Paulo/SP

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's profile as an AI/Software Engineer and Solutions Architect is fundamentally misaligned with the 'Projetista' role in custom furniture design. There are critical gaps in required education (Architecture/Design) and essential software skills (Promob, AutoCAD, SketchUp) which are core to the job, making this an unsuitable match despite the candidate's strong technical background in other domains. **⚠️ Critical Gaps:** - Required education in Architecture/Design or related fields - Expertise in custom furniture design and associated graphic design software **✅ Strengths:** - Strong background in Systems Architecture and AI Infrastructure - Proven ability to build and deploy complex automated systems - Demonstrated fast-learner with continuous education and self-taught skills **❌ Missing Required:** Formação em Arquitetura, Design ou áreas afins, Conhecimento avançado em Promob, Domínio em AutoCAD, Domínio em SketchUp

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is fundamentally mismatched for this role. Their extensive experience and technical skills are in software engineering, AI infrastructure, and systems architecture, which is a distinct domain from industrial architectural design required by this position. The core educational background and specific project experience demanded are not present. **⚠️ Critical Gaps:** - Formação em Arquitetura e Urbanismo (Candidate has Engineering degree) - Registro ativo no CAU (Implied missing due to different formation) - Mínimo de 5 anos de experiência em projetos de detalhamento de unidades industriais (Candidate's experience is in software/systems architecture, not industrial building design) **✅ Strengths:** - Architecting and deploying autonomous software systems (JIT inventory, AI clusters) - Deep expertise in AI infrastructure and Python development (LLMs, algorithmic trading) - Proven track record of self-teaching and rapidly acquiring complex technical skills **❌ Missing Required:** Formação em Arquitetura e Urbanismo, Registro ativo no CAU, Mínimo de 5 anos de experiência em projetos de detalhamento de unidades industriais

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate, while highly skilled in IT, AI infrastructure, and systems architecture, is fundamentally unqualified for this Architectural Project role due to the absence of a required degree in Architecture and Urbanism and active professional council registration. This represents a critical domain mismatch. **⚠️ Critical Gaps:** - Fundamental domain knowledge in Architecture and Urbanism - Architectural design principles and methodologies - Construction project management (architectural scope) - Legal and urban planning regulations specific to building projects **✅ Strengths:** - Systems Architecture - AI Infrastructure and Automation - Robust Project Management & Problem Solving **❌ Missing Required:** Ensino Superior completo em Arquitetura e Urbanismo, Registro ativo no Conselho de Arquitetura e Urbanismo, Experiência prévia em elaboração de projetos e acompanhamento de obras (arquitetura), Conhecimento em softwares de projeto e desenho técnico (AutoCAD, Archi Cad, Revit, Sketch Up)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong technical architecture, automation, and project management skills within the software and AI domain. However, the core requirements for architectural drafting, specific AutoCAD proficiency (2D), and experience in physical construction supervision are entirely absent from their profile, indicating a significant mismatch for this role. **⚠️ Critical Gaps:** - Conhecimento em AutoCad (desenhos 2D) e desenho técnico para arquitetura **✅ Strengths:** - Proficiency in Microsoft Office Suite - Strong project elaboration and presentation capabilities (general) - Deep understanding of IT systems and processes **❌ Missing Required:** Realizar fiscalização de obras, Acompanhar entrega de obras

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate possesses strong general project management, technical reporting, and systems architecture skills, coupled with a notable 'fast learner' bonus. However, a critical gap exists in the required academic background (Architecture and Urbanism degree) and professional registration (CAU), which are non-negotiable for this specific role in popular housing architecture, leading to disqualification. **⚠️ Critical Gaps:** - Formação superior completa em Arquitetura e Urbanismo - Registro ativo no CAU **✅ Strengths:** - Strong project management and coordination abilities - Proficiency in Excel and general technical reporting - Demonstrated fast learning and continuous self-education in complex technical domains **❌ Missing Required:** Experiência em desenvolvimento e gerenciamento de projetos de habitação popular ou similares, Domínio avançado em AutoCAD, Conhecimento em elaboração de memoriais descritivos, Conhecimento em orçamentos (em contexto de projetos de arquitetura), Habilidade em relacionamento com órgãos públicos (em contexto de arquitetura)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong technical leadership, systems-integration and project delivery experience indicate fast-learning potential, but the resume lacks the core architecture/BIM toolset and domain experience required to run BIM/Revit-based building projects. **⚠️ Critical Gaps:** - BIM - Revit - Proven experience in architecture (executive projects of medium/large scale) **✅ Strengths:** - Proven technical leadership and end-to-end project delivery - System integration and automation expertise (reduces friction across teams) - Demonstrated ability to learn and deploy complex technical stacks quickly **❌ Missing Required:** Domínio em BIM, Domínio em REVIT, Experiência comprovada em arquitetura (projetos executivos de médio e grande porte), Habilidade de compatibilização técnica entre disciplinas de engenharia, MS-Project

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive experience and education are in Mechatronics Engineering, software systems architecture, and AI infrastructure, with a strong background in logistics *systems*. However, the job requires a professional with a degree in Architecture and Urbanism, and specific experience in *architectural design* of physical logistic and industrial warehouses, utilizing tools like AutoCAD and Revit. This fundamental domain mismatch constitutes critical gaps. **⚠️ Critical Gaps:** - Formation in Architecture and Urbanism - Solid experience in architectural projects of industrial/logistic warehouses or large-scale edifices - Proficiency in architectural design tools (AutoCAD, Revit, SketchUp) **✅ Strengths:** - Strong analytical and problem-solving skills (inferred from complex projects) - Proven Fast Learner with self-teaching track record and continuous education - Fluency in English (C2 Certified) - Domain knowledge in Supply Chain (from a systems perspective) - Experience in Project Management **❌ Missing Required:** AutoCAD, Revit, SketchUp, Conhecimento avançado das normas técnicas e legislações aplicáveis (acessibilidade, combate a incêndio, normas industriais, etc.), Forte experiência em compatibilização de projetos multidisciplinares (in construction context)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is a highly experienced System Architect and AI infrastructure specialist with strong project management and automation skills. However, they possess no discernible experience or inferable skills related to electronic security systems (CCTV, physical access control), which are critical requirements for the 'Projetista Orçamentista' role. This domain mismatch, coupled with a significant difference in career level (Assistant vs. 10+ years of senior experience), leads to disqualification. **⚠️ Critical Gaps:** - Controle e acesso (physical security systems) - Segurança eletrônica - CFTV **✅ Strengths:** - System Architecture & Design - Automation Expertise - Strong Learning Agility **❌ Missing Required:** propostas comerciais (specifically for electronic security systems)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive technical background in AI infrastructure, software engineering, and supply chain analytics is a fundamental mismatch for this role, which explicitly requires expertise in architecture, interior design, 3D spatial modeling (AutoCAD, SketchUp), and a strong aesthetic sense for showroom design. Despite strong analytical and project management skills, the core domain knowledge and specific software proficiencies are absent, resulting in multiple critical gaps. **⚠️ Critical Gaps:** - Education background (Mechatronics Engineering vs. Architecture/Interior Design) - Professional experience domain (Software/AI/Supply Chain vs. Visual Merchandising/Interior Architecture) - Lack of demonstrated aesthetic and visual design skills required for showroom curation **✅ Strengths:** - Exceptional analytical and problem-solving capabilities - Proven ability to build and deploy complex, automated systems - Strong self-learner with a track record of acquiring new technical domains **❌ Missing Required:** AutoCAD, SketchUp

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, AI infrastructure, and leadership, demonstrating excellent transferable skills in cloud, data integration, and engineering practices. However, a significant gap exists in the required deep hands-on experience with the specified Javascript/Typescript, React, and NodeJS ecosystem, which is critical for a 'fullstack' director role at this company. **⚠️ Critical Gaps:** - Deep hands-on fullstack experience with Javascript/React/NodeJS ecosystem **✅ Strengths:** - AI Infrastructure & Strategy (Self-hosted LLMs, trading bots) - Scalable Systems Architecture & DevOps (Solutions Architect, CI/CD, Docker, Terraform) - Leadership & Fast Learner (Head of Engineering & Operations, continuous self-education) **❌ Missing Required:** Javascript (deep understanding), Typescript, React (HTML/CSS), NodeJS (frameworks like Remix), Build tools (like Vite)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for a Data Engineer role, demonstrating extensive experience in system architecture, data pipeline automation, and data quality management. Their career trajectory and fast-learner profile indicate high adaptability and a deep technical foundation directly relevant to the position's requirements. **✅ Strengths:** - Extensive experience in data load management and quality with real-world application (JIT inventory, ERP). - Proven track record in designing and implementing complex, automated data pipelines and systems. - Strong system architecture and infrastructure background, with explicit skills in Docker, CI/CD, and SQL.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for a Data Engineer role, demonstrating extensive experience in system architecture, data flow automation, and practical data quality management. Their career trajectory, self-taught expertise in AI infrastructure, and proficiency in core data technologies like Python, SQL, and Docker, align perfectly with the job's requirements and suggest a high capacity for growth and impact. While lacking explicit experience in interviewing, this is a minor gap given their overall profile. **✅ Strengths:** - Exceptional practical experience in data load management and data quality through complex system builds (JIT inventory, trading bots). - Strong system architecture and automation background, demonstrating proficiency in improving existing structures and building robust, self-sustaining platforms. - Proven 'fast learner' with a clear career trajectory towards technical and AI infrastructure roles, backed by continuous self-education and complex project delivery.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience in AI infrastructure, Python-based ML solutions, and a proven ability to translate complex business needs into scalable technical systems. Their self-taught expertise and career trajectory align perfectly with an AI Solutions Engineer role. **✅ Strengths:** - Extensive practical experience in AI infrastructure and ML model deployment (LLMs, GPU clusters, Docker, Terraform). - Demonstrated ability to translate business requirements into technical AI/automation solutions (JIT system, algorithmic trading bots). - Strong command of Python and relevant AI/ML libraries (PyTorch, Pandas, NumPy) applied in complex projects.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents as a highly capable and experienced engineer with a strong background in Python, AI infrastructure, and systems architecture, demonstrating significant leadership and a remarkable aptitude for rapid learning and self-teaching. However, the role is explicitly for a C++ Developer requiring 5+ years of experience in C++, a skill which is completely absent from the candidate's resume. This fundamental technology mismatch, despite other strong engineering capabilities, makes the candidate a poor fit for this specific C++ role. **⚠️ Critical Gaps:** - The candidate's primary expertise is in Python, AI, and infrastructure development, which represents a different core technical domain than the required C++ development. **✅ Strengths:** - Strong general engineering and systems architecture experience, particularly in automation and AI infrastructure. - Demonstrated rapid learning ability and successful self-teaching in complex technical domains. - Proven leadership experience in engineering and project delivery roles. **❌ Missing Required:** C++ (5+ years experience)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating over a decade of experience in data-intensive roles, systems architecture, and AI infrastructure. Their proven ability to design and implement complex, automated data solutions, combined with a strong analytical background and continuous learning, aligns perfectly with the requirements and implied responsibilities of a Data Scientist, even surpassing expectations in many areas. **✅ Strengths:** - Robust experience in Python and SQL with practical, large-scale application in data-driven systems. - Demonstrated expertise in building and optimizing AI infrastructure (self-hosted LLMs, PyTorch) and complex automation/data pipelines. - Strong analytical and problem-solving skills applied in diverse domains like finance, supply chain, and e-commerce, with a focus on business impact.

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong profile with extensive experience in systems architecture, AI infrastructure, and Python-based development, demonstrating excellent problem-solving and leadership skills. However, the core requirement for this role is 5+ years of C++ experience, which is entirely absent from the resume, constituting a critical and blocking gap for a dedicated C++ Developer position. **⚠️ Critical Gaps:** - C++ experience (primary job requirement for a C++ Developer role) **✅ Strengths:** - Strong problem-solving and analytical abilities inferred from complex project implementations. - Proven 'Fast Learner' with a track record of self-teaching and building systems in new domains. - Demonstrated leadership and project management experience as a founder and head of engineering. **❌ Missing Required:** C++ (5+ years experience)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong technical capabilities and a clear career progression towards technical and AI roles, backed by significant self-teaching. However, the core requirement for C/C++ development, including specific experience and related principles, is completely absent, making this a fundamental mismatch for the role. **⚠️ Critical Gaps:** - C/C++ Development **✅ Strengths:** - Strong systems architecture and AI infrastructure expertise - Proven ability to build and deploy complex, automated systems from scratch - Exceptional self-learning and adaptability with a clear technical career trajectory **❌ Missing Required:** 3+ years C/C++ development experience, Debugging tools and performance optimization (C/C++ context), Multi-threading and concurrent programming (C/C++ context), Object-Oriented Design principles (C/C++ context)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems, infra and algorithmic background with Git/Linux/Docker and OOP in Python, and demonstrated ability to self-host and optimize AI clusters — good ramp potential. However, the role requires immediate hands-on C/C++ experience (3+ years), multi-threaded C/C++ development, and C/C++ debugging/performance tool expertise, which are not present on the resume. **⚠️ Critical Gaps:** - C and C++ development experience (3+ years) — core, blocking requirement **✅ Strengths:** - Systems architecture and infrastructure (designing production automation and self-hosted AI clusters) - Strong Python, ML/LLM and algorithmic background (Pandas/PyTorch, trading bots) - DevOps fundamentals: Linux, Docker, Git, CI/CD and automation **❌ Missing Required:** Hands-on C/C++ programming (3+ years), Multi-threading/concurrency experience specifically in C/C++, Use of C/C++ debugging/performance tooling (gdb, profilers, valgrind) for optimizations

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems/automation background and scripting skills indicate fast-learning potential, but the role requires location- and logistics-specific hard requirements (Brazil residency, mobile devices, active payment gateway accounts) and explicit mobile-app testing experience which are not present on the resume. **⚠️ Critical Gaps:** - Brazil residency requirement (LOCATION) - candidate location not specified - Access to both Android and iOS devices (hardware required) - Active payment gateway accounts and payment method (Apple Pay, PayPal, Pix) and active card for testing **✅ Strengths:** - Systems architecture and automation (builds production systems end-to-end) - Python and scripting proficiency enabling rapid creation of test tools - Proven fast learner and self-sufficient operator (self-hosted AI clusters, complex integrations) **❌ Missing Required:** An active credit/debit card for testing purposes, Active payment gateway accounts (Apple Pay, PayPal, Pix), Access to both Android and iOS mobile devices, Brazil resident (job limited to Brazil residents)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong and comprehensive background in operations, logistics, supply chain, and system management, significantly exceeding the stated requirements for a Junior Operations Analyst. Their proven track record in automating complex systems, coupled with a 'fast learner' bonus and direct experience in several required domains, indicates a high degree of capability for the role, albeit at a more senior level. **✅ Strengths:** - Extensive and direct experience in operational, logistics, and supply chain management - Proven ability to architect, automate, and manage complex production systems - Demonstrated fast learner with a strong technical career progression

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] Candidate demonstrates strong backend, infrastructure, and AI integration skills, with proven experience building complex systems and automation. However, there is no direct evidence of hands-on experience with rich UI editors (ProseMirror/Tiptap), real-time collaboration frameworks (Yjs), or modern frontend stacks (TypeScript, Next.js). Fast learning and system architecture strengths suggest potential to ramp up quickly, but critical gaps exist in required frontend/UI technologies. **⚠️ Critical Gaps:** - Rich UI editor frameworks (ProseMirror/Tiptap) - Real-time collaboration (Yjs) - Modern frontend stack (TypeScript/Next.js) **✅ Strengths:** - AI/LLM integration experience - Backend and infrastructure expertise - Fast learner with complex system delivery **❌ Missing Required:** ProseMirror, Tiptap, Yjs, TypeScript, Next.js

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents strong architectural and system design capabilities, evidenced by building complex, automated systems and a clear progression towards technical leadership. However, the application unfortunately fails to meet the critical and mandatory requirement for previous GoLang experience, leading to disqualification. Several other key required technical skills such as Node.js, specific testing methodologies, MongoDB, Kubernetes, and Kafka are also not demonstrated in the resume. **⚠️ Critical Gaps:** - GoLang (Mandatory requirement not met) **✅ Strengths:** - Strong architecture and system design experience (10+ years, 'metal-up', 'Clean Architecture') - Proven ability to build and deploy complex, automated, production-grade systems (JIT inventory, self-hosted AI clusters, algorithmic trading bots) - Fast learner with a clear career trajectory towards technical/AI roles, demonstrated through self-teaching and continuous education **❌ Missing Required:** Node, Testing (unit, integration, mocks), Incident response and alert analysis, MongoDB, Kubernetes, Kafka (or similar messaging services)

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] O candidato possui experiência sólida em Python, SQL, automação, controle de versão (Git), e arquitetura de sistemas, além de ter trabalhado com pipelines de dados e integração de sistemas. Demonstra capacidade de aprender rapidamente e já construiu sistemas complexos, superando os requisitos para um cargo júnior. As únicas lacunas são a ausência explícita de experiência com Java e menção direta a data lakes, mas ambos são facilmente aprendíveis dado o perfil. **✅ Strengths:** - Python avançado - SQL e bancos de dados - Automação e integração de sistemas

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-4.1] The candidate demonstrates strong experience in Python, automation, infrastructure, and system architecture, with a proven ability to learn and deliver complex solutions. However, there is no direct experience or evidence of FPGA design, hardware description languages (VHDL/Verilog), PCB design, or broadcast video/audio systems, which are critical for this role. The candidate's strengths in scripting, system integration, and project management are valuable, but the lack of hands-on hardware and FPGA expertise is a major gap. **⚠️ Critical Gaps:** - No FPGA/HDL experience - No PCB/electronic hardware design - No broadcast video/audio domain expertise **✅ Strengths:** - Python and automation expertise - System architecture and integration - Project management and cross-functional collaboration **❌ Missing Required:** FPGA design and development, VHDL/Verilog proficiency, PCB design and electronic hardware experience, Broadcast video/audio application experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating high-level leadership, strategic architectural thinking, and hands-on expertise in modern engineering practices like DevOps, CI/CD, and data-driven systems. Their founder experience and progression towards AI infrastructure align perfectly with the role's demands for strategic management and technical depth, significantly outweighing minor gaps in certifications. **✅ Strengths:** - Exceptional Leadership and Strategic Technical Architecture (Founder experience, 'Arquiteto de Soluções') - Deep expertise in DevOps, CI/CD, and Data-Driven Systems (Docker, Terraform, Pipelines CI/CD, Python/Pandas/NumPy, risk management) - Proven ability to build and deploy complex production systems from concept to execution (JIT inventory, LLM clusters, trading bots)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong foundational match with proven Python expertise, system architecture skills, and automation experience. Candidate demonstrates senior-level engineering thinking through JIT inventory system and production-grade implementations. Primary gap is React.js frontend experience and end-to-end testing, though full-stack capability is partially demonstrated through complete system builds. The 10+ years of technical experience, coupled with self-learning capacity and complex system design, positions candidate as a fast learner who can bridge the React gap quickly. **✅ Strengths:** - Strong Python automation and system architecture (JIT inventory, trading bots, production pipelines) - Infrastructure and DevOps capabilities (Docker, Terraform, CI/CD, Linux) - exceeds job requirements - Full lifecycle engineering (concept to production) with proven track record of self-sufficient systems **❌ Missing Required:** React.js development experience, End-to-end testing experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate exhibits strong capabilities in technical architecture, systems integration, and project delivery with a clear focus on ROI and automation, and is a proven fast learner. However, there is a critical gap in direct experience with core Agile methodologies, frameworks (Scrum, Kanban), Agile-specific tools (JIRA, Miro), and the fundamental responsibilities of an Agile Master/Scrum Master, making this a poor fit for the role. **⚠️ Critical Gaps:** - Previous experience as Scrum Master, Agile Master or Agile Coach in digital teams **✅ Strengths:** - Strong technical architecture and systems integration expertise - Proven track record of delivering complex, ROI-focused digital projects - Exceptional self-learner with a continuous improvement mindset **❌ Missing Required:** Domínio de métodos ágeis (Scrum, Kanban), Experiência com ferramentas de gestão e colaboração (JIRA, Miro, Data Studio), Atuação prévia como Scrum Master, Agile Master ou Agile Coach em times digitais, Experiência com monitoramento de progresso e métricas ágeis (backlog, story points, aging), Condução de cerimônias ágeis eficazes, removendo impedimentos e escalando soluções

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems/infrastructure background (Docker, Terraform, Linux, Postgres/MySQL, CI/CD, Python) and demonstrated ability to build production systems and self-host AI, but lacks core full‑stack web stack experience required for this role (React + TypeScript frontend, Node.js backend, K8s). Given the candidate's fast‑learner profile and 10+ years building complex systems, the gaps are bridgeable but currently would be blocking for an immediate full‑stack contributor. **⚠️ Critical Gaps:** - React (client-side development) - TypeScript (used across frontend and backend in job) - Node.js (server-side development) - Kubernetes (deployment target for backend) **✅ Strengths:** - Infrastructure & DevOps (Docker, Terraform, CI/CD, Linux) - Backend engineering, automation and systems design (Python, production pipelines, JIT systems) - Databases and data-focused engineering (Postgres/MySQL, analytics) **❌ Missing Required:** 3+ years of full-stack web development specifically with React + Node.js + TypeScript, React client-side development, Node.js server-side development, TypeScript, Kubernetes

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate shows strong systems thinking, automation expertise, and architectural capabilities, but has critical gaps in the core required stack. The role demands 8+ years backend development with Node.js expertise and 3+ years leadership - candidate has Python/systems background without Node.js or backend team leadership experience. However, demonstrates fast-learner potential through self-taught AI infrastructure and complex system builds. **⚠️ Critical Gaps:** - 8+ years professional backend development (has systems/automation, not traditional backend) - 3+ years leadership positions (no team management experience demonstrated) - Strong Node.js experience (primary tech stack - completely absent) - Kubernetes production experience (mentioned AWS basics, but no K8s) **✅ Strengths:** - Exceptional systems architecture and automation design (JIT system with 95% uptime) - Strong infrastructure thinking (metal-up architecture, self-hosted AI clusters) - Proven ability to build production systems from scratch (e-commerce automation platform) **❌ Missing Required:** Node.js expertise (REQUIRED - core technology), Kubernetes knowledge (explicitly required), 8+ years backend development experience (has ~4 years relevant technical work), 3+ years leadership experience (no team leadership shown), Bachelor's in CS/Engineering (has Mechatronics, closer match), NoSQL database experience, Message broker experience, Production microservices experience

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong technical project leadership, analytical skills, and relevant finance/tech domain expertise, evidenced by founding and leading an automated e-commerce business and working as a quant developer. While lacking explicit PMO certifications and formal agile governance experience, his fast-learner trait and progression toward technical roles suggest high adaptability. **✅ Strengths:** - Strong project leadership and delivery experience, especially in tech and automation. - Deep analytical capability, business acumen, and finance domain expertise. - Proven fast learner with a clear trajectory towards technical/AI roles. **❌ Missing Required:** Formal Agile/Hybrid Project Governance (Scrum, Kanban, PI Planning, RAID log, EAP, RACI), ClickUp/Jira/Asana, Power BI, Miro, Formal Project Documentation & Quality Assurance (Playbooks, RACI, Acceptance Criteria, Handover), Change Control & Scope Management Processes

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong technical architecture, automation, and AI infrastructure skills, along with a proven track record as a fast learner and leader in digital transformation. However, there is a critical domain mismatch; the role requires deep expertise in IT Service Management process governance (ITIL, COBIT, Lean Six Sigma, PDCA), which is absent from the candidate's resume. Additionally, the candidate does not meet the mandatory 'Intermediate Spanish' language requirement, leading to disqualification. **⚠️ Critical Gaps:** - Core domain expertise in IT Service Management Process Governance (ITIL, COBIT, Lean Six Sigma, PDCA). Candidate's focus is on building technical systems and infrastructure, not managing IT service delivery processes. **✅ Strengths:** - Strong Digital Transformation & Innovation Experience (JIT systems, self-hosted LLMs, automation) - Proven Fast Learner & Self-starter (self-taught AI, algorithmic trading, continuous education) - Demonstrated Project Leadership & Management (Chief of Engineering, leading projects) **❌ Missing Required:** ITIL knowledge, ITIL 4 certification, Lean Six Sigma methodology, PDCA methodology, COBIT knowledge, Intermediate Spanish

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong technical and operational background with proven project management and logistics experience and clear fast-learning capacity, but lacks core Product Design credentials and tooling (Figma/Framer) and a UX/UI portfolio which are central to the role. **⚠️ Critical Gaps:** - Figma - Framer - Solid Product Designer experience (portfolio) - Hands-on UX/UI design practice **✅ Strengths:** - Proven end-to-end project delivery and ops (JIT e-commerce automation) - Deep technical systems and infra fluency (self-hosted AI clusters, cloud, CI/CD) - Domain expertise in logistics/supply-chain and process optimization **❌ Missing Required:** Solid experience as a Product Designer (including portfolio), Figma, Framer, Familiarity with UX/UI design principles and processes (explicit)