[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional technical acumen and extensive experience in AI infrastructure, e-commerce automation, and quantitative development. However, the core requirements of this 'Analista de Projetos - Designer Educacional' role, which demand specific experience in educational project management, instructional design, and pedagogical practices, are not met. The candidate's career trajectory and domain expertise are fundamentally misaligned with the job's focus. **⚠️ Critical Gaps:** - Required experience (2-3 years in educational project management/corporate education) is in a completely different domain (AI Infrastructure/E-commerce/Finance) without direct transferable application. - Required education (Pedagogy, Communication, Administration, Project Management related to educational content) is not met by a technical Engineering degree, leading to a significant domain knowledge gap. **✅ Strengths:** - Proven fast learner with a strong self-teaching track record in highly complex technical domains. - Extensive 10+ years of experience in system architecture, operations, and automation. - Strong analytical and problem-solving capabilities demonstrated across various technical and financial projects. **❌ Missing Required:** Experiência em gestão de projetos educacionais/educação corporativa, Superior completo em Pedagogia, Comunicação, Administração, Gestão de Projetos ou áreas correlatas (para atuação em projetos educacionais), Vivência na organização de sessões presenciais, híbridas ou remotas (com foco em eventos educacionais), Experiência na criação de materiais educacionais e multimídia, Noções de indicadores como NPS, CSAT, engajamento e presença (para avaliação de programas educacionais)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional systems architecture, infrastructure experience (Docker, AWS, local AI clusters), and a strong ownership mentality, highly aligning with the role's core requirements. While direct experience with Rust, Go, or C++ is absent, the candidate's proven fast-learner ability and diverse technical background suggest strong adaptability to new systems languages, as valued by the job description. **✅ Strengths:** - Exceptional systems architecture and ownership, demonstrated by building and deploying complex, automated, production-grade systems (JIT inventory, LLM clusters). - Strong foundational and practical experience in infrastructure, cloud (Docker, AWS), and security/identity (SSO, RBAC), directly relevant to the role's focus on Edge software in the identity space. - Proven 'fast learner' with a clear career trajectory into advanced technical and AI infrastructure roles, indicating high adaptability to learn new technologies like Rust, as explicitly valued by the employer. **❌ Missing Required:** Excellent skills in systems languages such as Rust, Go, or C++ (specific languages)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong match for an Infrastructure & Operations role, demonstrating extensive experience in production environments, system automation, and critical system management. While showing foundational AWS knowledge and significant cloud/datacenter experience, the explicit 'solid knowledge in Cloud AWS' is a clear gap, preventing a perfect match. The candidate's self-taught approach and career trajectory are highly valuable assets. **✅ Strengths:** - Extensive experience in production environment operations, support, and sustenance, especially with automated systems and AI infrastructure. - Strong capabilities in automation, scripting (Python, Shell Script, Terraform) and CI/CD, demonstrating a proactive approach to operational efficiency. - Proven track record as a fast learner and builder, with a relevant career trajectory towards technical and AI infrastructure roles, coupled with experience in critical financial systems. **❌ Missing Required:** Conhecimentos sólidos em Cloud AWS

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong foundational skills in infrastructure, automation, and system design, including some AWS experience and Terraform. However, the job's explicit requirements for proven experience in Azure, OCI, Datadog, AKS, and Oracle Database are critical gaps or missing required skills, making the candidate a poor fit despite a strong learning trajectory. **⚠️ Critical Gaps:** - Azure (Proven experience) - OCI (Proven experience) **✅ Strengths:** - Strong foundation in infrastructure, automation, and system design (Terraform, Docker, CI/CD, Python scripting). - Demonstrated ability to build and operate complex, automated systems (JIT inventory, self-hosted LLM clusters). - Proven 'Fast Learner' with a career trajectory aligned with technical/AI roles, indicating high adaptability. **❌ Missing Required:** Datadog, AKS, Oracle (Banco)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong technical abilities in automation (Python, Shell), cloud basics (AWS), and practical application of SRE principles through building and operating complex systems. However, there is a critical mismatch with the core functions of this IT Infrastructure Analyst role, which primarily focuses on first-line user support, incident response, ticket management, knowledge base maintenance, and training for L2 staff. The candidate's extensive architectural and engineering background is not directly aligned with these operational support responsibilities. **⚠️ Critical Gaps:** - Direct experience as a first-line IT support/incident response contact, handling user-reported issues and managing tickets for a diverse user base in a formal corporate IT environment. **✅ Strengths:** - Strong technical foundation in automation (Python, Shell) and cloud basics (AWS). - Proven ability to learn and implement complex technologies independently (Fast Learner bonus, AI infrastructure). - Extensive experience in architecting and operating resilient systems, demonstrating a deep understanding of system reliability. **❌ Missing Required:** Experience with IT ticket management systems (e.g., ServiceNow, Jira, GLPI), Experience with specific IT monitoring and observability tools (e.g., Zabbix, Grafana), Experience maintaining IT support knowledge bases and documenting IT support procedures, Experience training L2 IT support staff, Direct experience as a primary point of contact for user IT issues (calls/emails)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is a highly skilled technical architect and engineer with strong English communication, but their experience is fundamentally misaligned with a formal Project Manager role. A critical gap exists in core project management experience, Agile methodologies, and proficiency with relevant tools like JIRA, making them a poor fit for this position. **⚠️ Critical Gaps:** - Lack of formal Project Management domain experience; candidate's primary background is in technical architecture and engineering. **✅ Strengths:** - Advanced English communication (C2 Certified/Fluent) - Proven Fast Learner with extensive self-taught technical capabilities and continuous education - Strong background in technical architecture, AI infrastructure, and systems engineering with a focus on ROI and automation **❌ Missing Required:** Experience as Project Manager, leading teams and managing projects (in a formal PM capacity), Experience with project management utilizing Agile Methodologies, Proficiency in JIRA or other task management tools (for task assignment, analysis, and reporting), Ability to manage multidisciplinary teams (UX/UI, QA, development, etc.) in a Project Manager role

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional alignment with the job's core requirements, showcasing deep expertise in automation, AI/ML, and LLM solutions. Their proven career progression towards technical and AI roles, coupled with strong fast-learner evidence, makes them an outstanding match for this position, despite minor gaps in some preferred technologies. **✅ Strengths:** - Extensive experience in automation and AI-driven workflows, including direct LLM implementation and autonomous agents. - Proven Python expertise applied to complex systems like JIT inventory and algorithmic trading with a focus on operational efficiency. - Strong foundational knowledge in system architecture, cloud basics (AWS), CI/CD pipelines, and problem-solving through practical application.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong technical and architectural background with significant experience in leading innovative projects, demonstrated through self-built systems and AI infrastructure. However, there's a notable gap in direct experience with corporate innovation project management, specifically concerning regulatory bodies like ANEEL and engagement with public research entities, which are key differentiators for this 'Pleno' role. **✅ Strengths:** - Exceptional technical depth and experience in building and leading highly innovative systems and AI infrastructure. - Proven fast learner with a strong, intentional career trajectory towards advanced technical and AI roles. - Strong project execution, analytical, and problem-solving capabilities demonstrated across diverse and complex projects. **❌ Missing Required:** Experiência prévia em gestão de projetos de inovação (contextual nuance for a 'Pleno' role in a large utility company), Pacote Office avançado

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong architectural, automation, and AI infrastructure skills with a clear business acumen. However, there are significant gaps in core data engineering platforms, including big data processing frameworks, specific cloud data services for analytics, advanced SQL, and multi-model database experience, which are critical for this role. The fast learner bonus and transferable skills mitigate the score but don't bridge the fundamental domain difference. **⚠️ Critical Gaps:** - Strong domain in big data and distributed processing (Spark, Hadoop, Flink) - Experience in hybrid and multi-model database architectures (relational and non-relational specific examples) **✅ Strengths:** - Strong architectural and system design capabilities with complex project delivery (JIT system, LLM clusters). - Proficiency in Python, automation, and CI/CD practices for system development and deployment. - Exceptional business acumen, ability to translate business needs into technical solutions, and focus on ROI and quantifiable metrics. **❌ Missing Required:** Solid experience in large-scale data engineering (traditional ETL/DW focus), Proficiency in analytical data architecture and modeling (Data Lake, Data Warehouse, Lakehouse), Advanced knowledge in SQL and complex query optimization, Specific Cloud Data Services for analytics (EKS, EMR, Lambda, S3, Redshift on AWS; BigQuery, DataFlow, Composer on GCP), ETL/ELT tools (dbt, Glue, Dataflow) and specific orchestration tools (Airflow, Step Functions, Prefect), Knowledge in data governance, security, and compliance specific to critical data environments

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong systems architect and automation engineer, directly matching the need to design and optimize operational infrastructure for Go-To-Market. While excelling in engineering and data-driven automation, the candidate lacks direct operational experience in RevOps/GTM strategy and specific CRM/prospecting tools. **✅ Strengths:** - Exceptional expertise in designing and implementing automated operational infrastructure and systems. - Strong track record in applying engineering principles to solve business problems, demonstrating high efficiency and scale. - Proven fast learner with a clear career trajectory towards advanced technical and AI-related roles. **❌ Missing Required:** Experiência em áreas de RevOps, GTM ou Growth B2B (specifically strategic/operational aspects), Conhecimento extenso das principais ferramentas de CRM, prospecção e data enrichment do mercado

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong architectural and automation skills in a traditional infrastructure and Python environment, but lacks direct experience or adjacent technologies within the Microsoft Power Platform ecosystem, C#, and Javascript, which are core requirements for this role. While a fast learner with transferable automation concepts, the fundamental domain and technology mismatch results in a low score. **⚠️ Critical Gaps:** - Microsoft Power Platform Ecosystem (including Power Apps, Power Automate, Copilot Studio, Dataverse, Dynamics 365) **✅ Strengths:** - Strong automation and system integration experience - Proven fast learner and self-starter, adaptable to new technologies - Extensive experience in building production-grade systems from concept to execution **❌ Missing Required:** C#, Javascript

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong background in automation, Python, and system architecture, with a clear career progression towards AI and technical roles. However, there are significant gaps in specific programming languages (PowerShell, JavaScript, Go), certain cloud platforms (Azure, GCP), and NoSQL databases. Crucially, the hybrid work requirement in Morumbi/SP presents a geographic critical gap for a candidate only identified as 'Based in Brazil'. **⚠️ Critical Gaps:** - Geographic restriction: Hybrid role (2x week) in Morumbi/SP required, candidate 'Based in Brazil' without specified proximity or relocation willingness. **✅ Strengths:** - Exceptional Python and automation expertise demonstrated in complex, large-scale systems (JIT inventory, AI clusters). - Strong career trajectory and 'fast learner' ability, showing continuous acquisition of advanced technical skills relevant to systems architecture and AI. - Proven experience in system architecture, integration (APIs), and understanding of business logic across diverse domains (e-commerce, finance, supply chain). **❌ Missing Required:** PowerShell, JavaScript, Go, Azure, GCP, NoSQL

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong technical abilities in automation, system architecture, and software development, underpinned by a clear 'fast learner' trajectory. However, the resume lacks explicit and mandatory experience in core Quality Engineering areas such as functional testing, specific test automation frameworks like Cypress, and Agile methodologies. While possessing strong foundational engineering skills, the specific QA focus required for this role is not a direct match. **✅ Strengths:** - Robust background in automation, system architecture, and complex project delivery. - Exceptional 'fast learner' aptitude, demonstrated by self-taught advanced technical domains. - Proficiency in Python and practical experience with CI/CD concepts and API integration. **❌ Missing Required:** Experiência com Testes Funcionais, Experiência com framework de automação de testes Cypress, Experiência com Metodologias ágeis (Scrum, Kanban), Experiência com API (Postman)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a senior-level Systems Architect specializing in AI and automation, while the job is for a junior, manual-labor role as a Production Assistant on a factory floor. There is a complete and fundamental mismatch in skills, experience, and career trajectory. The candidate is critically overqualified and in an entirely different professional domain. **⚠️ Critical Gaps:** - The candidate's expertise is in high-level software/AI architecture, while the job requires manual, physical factory labor. This is a different career domain. **✅ Strengths:** - The candidate is not a fit for this role in any capacity. **❌ Missing Required:** Experience with factory operational routines, Material handling and separation, Supplying production lines

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate possesses exceptional and rare expertise in core AI infrastructure, evidenced by self-hosting LLM clusters. However, this is an AI *Infrastructure* profile, whereas the job is for a *Full-Stack AI Software Engineer*. The complete absence of the required core development stack (NodeJS, JavaScript/TypeScript, ReactJS, NextJS) represents a critical and disqualifying gap. **⚠️ Critical Gaps:** - NodeJS - ReactJS - NextJS - JavaScript/TypeScript **✅ Strengths:** - Deep practical experience with LLM infrastructure (self-hosted) - Proven ability to architect and build complex automated systems from scratch - Strong skills in Python for automation and data analysis **❌ Missing Required:** NodeJS, ReactJS, JavaScript / TypeScript, Testes automatizados (BDD)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate is a skilled Systems Architect/AI Engineer with deep expertise in Python, automation, and infrastructure. However, this role is for a Senior Salesforce and Java Developer. There is a critical and fundamental gap between the candidate's Python-centric background and the required Java/Salesforce technology stack. **⚠️ Critical Gaps:** - The role requires senior-level Java and Salesforce development, but the candidate's entire development experience is in Python and Shell Scripting. **✅ Strengths:** - Strong experience in infrastructure and automation (Docker, Terraform, CI/CD) - Proven ability to architect and build complex systems from scratch (JIT inventory, AI clusters) - Demonstrated fast learner with a clear career progression towards technical depth **❌ Missing Required:** Java, Salesforce, Spring Boot, OmniStudio

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate is severely overqualified in irrelevant technical domains (AI, Systems Architecture) and lacks the fundamental experience in accounts payable required for this transactional finance role. His career trajectory shows a clear and intentional move away from finance toward deep technology, making him a poor fit for this junior administrative position. **⚠️ Critical Gaps:** - Domain Mismatch: Candidate is a Senior AI/Systems Architect, while the job is a junior-level Accounts Payable clerk. - Career Trajectory Mismatch: Candidate's career is progressing rapidly into high-tech engineering, which is the opposite direction of this administrative finance role. - Education Mismatch: Job requires a degree in Finance or Administration; candidate's degree is in Mechatronics Engineering. **✅ Strengths:** - Portuguese fluency - Experience in finance-adjacent roles (though more than 7 years ago) - Proven ability to learn complex systems (though not in a relevant domain) **❌ Missing Required:** Experiência em departamento de contas á pagar (Experience in an accounts payable department)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] Candidate is DISQUALIFIED due to hard constraints (language and time zone). Beyond that, this is a POOR_FIT; the role requires a hands-on Backend Developer in the Node.js/TypeScript/MongoDB stack, whereas the candidate is a Python-focused Systems Architect. The core technical skills are a complete mismatch. **⚠️ Critical Gaps:** - The role is for a backend developer using TypeScript/Node.js/NestJS; the candidate's primary language is Python. - Required experience with NoSQL (MongoDB) and message queues (RabbitMQ) is completely absent. - The required language 'Russian' is not listed in the candidate's skills. - The candidate's location (Brazil, GMT-3) does not align with the required time zones (GMT+2 to GMT+5). **✅ Strengths:** - Excellent high-level systems architecture design - Proven ability to automate complex business logic (JIT inventory system) - Strong infrastructure experience (Docker, AI Clusters, CI/CD) **❌ Missing Required:** TypeScript/JavaScript, Node.js, NestJS, MongoDB, RabbitMQ, Russian

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] This is a poor match. The candidate is a highly technical Systems and AI Infrastructure Architect with a background in supply chain and algorithmic trading. The job is for a Senior Tax Analyst focused exclusively on Brazilian indirect taxes and fiscal compliance. There is a critical domain gap between the candidate's demonstrated skills in engineering/automation and the role's requirements for deep, specialized knowledge in accounting and tax law. **⚠️ Critical Gaps:** - The candidate is a Systems/AI Architect, while the role is for a Senior Tax Analyst. The domains are fundamentally different, requiring entirely separate knowledge bases and skill sets. **✅ Strengths:** - Proven fast learner with a track record of self-teaching complex domains. - Fluent (C2) English, exceeding the intermediate requirement. - Strong problem-solving and system-building mindset. **❌ Missing Required:** Sólida experiência com tributos indiretos (ICMS, IPI, ISS, etc.), Domínio de obrigações acessórias (SPED, Bloco K, etc.), Conhecimento em operações de importação e benefícios fiscais (CFOPs), Experiencia em classificação de NCM e EX-Tarifario, Graduação em Contabilidade, Administração, Economia ou áreas correlatas

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a Systems Architect specializing in AI and automation, while the job is a Fiscal Analyst role focused on Brazilian tax law and accounting. This is a critical domain mismatch. The candidate's career is progressing towards high-level tech architecture, making this operational tax role a significant and illogical deviation. **⚠️ Critical Gaps:** - Entire domain of Brazilian tax and fiscal operations - Experience with accounting/tax software (Datasul/TOTVS) **✅ Strengths:** - Exceeds English language requirement (Fluent vs. Intermediate) - Strong analytical background - General experience with ERP systems **❌ Missing Required:** Formação Superior em Administração ou contabilidade, Experiência com apuração de impostos, Elaboração e revisão de obrigações acessórias (SPED, REINF)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit for this role. While they possess outstanding domain experience in logistics/supply chain and strong Python skills for automation, there is a critical gap regarding the core responsibility: backend web development with Django. The role requires an expert-level Django developer, and the candidate's profile is explicitly focused on systems architecture and infrastructure, not daily software development within a web framework. **⚠️ Critical Gaps:** - The role is for a Backend Web Developer specializing in the Django framework, whereas the candidate is a Systems Architect who explicitly states they do not focus on daily production software coding. **✅ Strengths:** - Exceptional domain expertise in logistics and supply chain systems, which is a significant plus. - Proven ability to architect and build complex, resilient automated systems from scratch. - Strong, demonstrated Python skills applied to automation, data analysis, and systems logic. **❌ Missing Required:** Django, PostgreSQL (explicitly), Redis, JWTAuthentication / FirebaseAuthentication, 5+ years of experience as a Backend Web Developer

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly accomplished Systems and AI Engineer with a strong background in software, automation, and cloud infrastructure. However, the job is for Civil Engineering roles related to physical highway infrastructure (paving, construction, maintenance). There is a fundamental domain mismatch, making this a poor fit despite the candidate's technical prowess in their own field. **⚠️ Critical Gaps:** - Candidate's experience is in Software/AI/Cloud Infrastructure, while the job requires Civil/Physical Infrastructure (highways, paving, construction). **✅ Strengths:** - Extensive experience in systems automation and process optimization. - Strong project leadership, architecting complex systems from concept to production. - Transferable experience in supply chain analytics and planning, though in a different context. **❌ Missing Required:** Pavimentação, Planejamento e Controle (de Obras), Obras, Projetos (Engenharia Civil), Faixa de Domínio, Conservação (de Rodovias)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate shows strong adjacent skills in AI infrastructure, Python automation, and systems architecture, particularly with self-hosted LLMs. However, there is a critical gap between their infrastructure focus and the job's core requirement for deep, hands-on data science modeling, statistical analysis, and creating computational problems with libraries like scikit-learn and statsmodels. **⚠️ Critical Gaps:** - The role requires creating complex computational data science problems and workflows, while the candidate's experience is in building and automating systems and infrastructure, not in hands-on statistical modeling or data science analysis. **✅ Strengths:** - Direct experience with GenAI (self-hosted LLMs) - Proven ability to build complex, automated systems from scratch (JIT inventory) - Strong proficiency in Python for automation and data manipulation (Pandas) **❌ Missing Required:** Master's or PhD Degree in a quantitative field, 5+ years of hands-on data science experience with proven business impact, Proficiency with core data science Python libraries (scikit-learn, statsmodels, scipy), Deep expertise in statistical analysis and machine learning algorithms

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect and AI Infrastructure engineer but has a critical domain gap for this Frontend Developer role. There is no demonstrated experience in the required core technologies like ReactJS, NextJS, TypeScript, or modern frontend styling, making it a poor fit despite transferable skills in backend and infrastructure. **⚠️ Critical Gaps:** - Frontend Development (candidate is Backend/Infrastructure) - ReactJS / NextJS - JavaScript / TypeScript **✅ Strengths:** - CI/CD Pipeline experience - API integration - Cloud environment knowledge (AWS) **❌ Missing Required:** ReactJS, NextJS, JavaScript (ES6+), TypeScript, HTML5, CSS3, TailwindCSS or Styled Components, SSR and SSG using NextJS

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled Systems Architect and a proven fast learner, with extensive experience in Python, automation, and AI infrastructure. However, the role is explicitly for a Java Developer requiring 5+ years of experience, a core technical domain completely absent from the candidate's profile, leading to a fundamental mismatch despite strong transferable skills. **⚠️ Critical Gaps:** - Java Development (5+ years experience) **✅ Strengths:** - Strong Systems Architecture and Automation expertise. - Proven Fast Learner with a trajectory towards technical/AI roles. - Advanced English proficiency and experience with modern infrastructure tools. **❌ Missing Required:** Java (5+ years), Web application programming (in Java context)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's profile is highly technical, focused on AI infrastructure, systems architecture, and advanced automation, with a strong background in engineering and quantitative finance. This is a significant mismatch for the 'Analista de Faturamento Pleno' role, which requires an educational background in Administration/Accounting and specific operational billing experience. Despite strong transferable skills like English proficiency and a fast-learner bonus, the core requirements of the job are not met by the candidate's experience or formal studies. **⚠️ Critical Gaps:** - Formal education in Administration, Accounting, or directly related fields specific to billing operations. **✅ Strengths:** - C2 Certified/Fluent English proficiency - Demonstrated fast-learning ability and continuous education - Strong technical background in systems architecture and AI infrastructure **❌ Missing Required:** Operational billing experience and skills (e.g., invoice review, backlog reduction, specific control tool updates, AR/AP collaboration).

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong profile in systems architecture, automation, and AI infrastructure, demonstrating a significant 'fast learner' capability. However, there is a critical mismatch with the core requirement of a 'Java Developer' role, as the resume shows no direct experience with Java programming, which is explicitly required for 5+ years. While many skills are transferable, the foundational language requirement is absent. **⚠️ Critical Gaps:** - Java development experience (5+ years) **✅ Strengths:** - Strong system architecture, automation, and AI infrastructure background. - Demonstrated 'Fast Learner' ability with continuous education and rapid skill acquisition. - Proficient in English and general database management (SQL). **❌ Missing Required:** Web application programming (in a Java context), Object-Oriented Programming (in a Java context)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses a strong Mechatronics engineering background and demonstrates exceptional learning agility. However, their professional experience and inferred skills are in AI infrastructure and systems architecture, creating a critical domain mismatch with the job's core requirement of electrical harness design and CATIA V6 expertise. **⚠️ Critical Gaps:** - Electrical Harness Design **✅ Strengths:** - Strong foundational Mechatronics Engineering degree. - Exceptional 'Fast Learner' ability, demonstrated by self-taught AI infrastructure and algorithmic trading. - Proven experience in architecting and deploying complex, production-grade automated systems. **❌ Missing Required:** CATIA V6 expertise, Specific knowledge in critical electrical design points (HCPP, complex branches, fuse boxes, nodes)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents exceptional skills in systems architecture, infrastructure management, and automation, coupled with a strong history of rapid self-learning. However, the primary requirement for this role is hands-on development using the Java ecosystem (Java, Spring Boot, Micronaut), which is not present in the candidate's resume, creating a critical technical gap for this specific product engineering position. While many skills are transferable, the core language mismatch significantly impacts the fit. **⚠️ Critical Gaps:** - Java ecosystem (primary programming language and frameworks for the development role) **✅ Strengths:** - Exceptional architectural and systems design expertise, demonstrated in complex, production-grade projects. - Proven ability to learn and implement new, complex technologies rapidly (AI infrastructure, algorithmic trading). - Extensive hands-on experience with infrastructure as code (Terraform), containerization (Docker), and CI/CD pipelines. **❌ Missing Required:** Kubernetes (EKS), Specific AWS Services (EC2, S3, SQS, SNS, CloudFront, ELB), Authentication/Authorization mechanisms (JWT, OAuth2, Basic Auth), Database Modeling and Optimization, API First (Swagger/OpenAPI)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's extensive background in systems architecture, AI infrastructure, and automation diverges significantly from the operational finance focus of a Treasury Analyst role. While strong in general analytical skills and possessing prior finance experience, critical gaps exist in specific treasury functions, SOX compliance, and direct experience with treasury management systems. **⚠️ Critical Gaps:** - Primary career focus as an AI Infrastructure Strategist/Systems Architect, not operational finance/treasury. **✅ Strengths:** - Strong analytical and problem-solving skills - Proven ability to quickly learn and implement complex technical domains (Fast Learner) - Fluent English language proficiency (C2 Certified) **❌ Missing Required:** Basic understanding of SOX compliance and internal controls, Proficiency in Microsoft Office Suite, particularly Excel

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong skills in general systems architecture, CI/CD, automation, and leadership, with an impressive fast-learner trajectory. However, the core requirement for Salesforce-specific development (Apex, LWC, Visualforce, SOQL/SOSL) is entirely absent, representing a critical domain mismatch. While many general engineering skills are present, they do not directly transfer to the specialized Salesforce ecosystem required for this role. **⚠️ Critical Gaps:** - Salesforce Development Ecosystem (Apex, Lightning Web Components, Visualforce, SOQL/SOSL, Aura, Salesforce Data APIs, Salesforce Security/Sharing Model, Salesforce Integration Patterns, Salesforce Governor Limits & Performance Tuning, Salesforce CI/CD tools, Salesforce Testing Frameworks, Salesforce Code Quality Tools) **✅ Strengths:** - Exceptional fast-learner and self-taught in complex technical domains. - Strong general CI/CD, automation, and systems architecture experience. - Proven ability to build and deploy complex production systems from concept to execution. **❌ Missing Required:** Specific Middleware (MuleSoft/Boomi/Informatica)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong engineering and automation skills, particularly in AI infrastructure and Python development, and is a proven fast learner with fluent English. However, there's a significant mismatch with the core requirements of a QA/Test Engineer role, lacking direct experience in software testing methodologies (manual, functional, regression) and specific tools like Azure DevOps Test Plans. The career trajectory also indicates a pivot away from their established technical specialization. **⚠️ Critical Gaps:** - 5+ anos de experiência em testes de software - Forte experiência em testes manuais - Vivência com Azure DevOps (Test Plans) **✅ Strengths:** - Exceptional fast learner with strong self-teaching capabilities (AI infrastructure, algorithmic trading, continuous education) - Strong automation and CI/CD background (Python, shell scripting) - Fluent English (C2 certified) **❌ Missing Required:** 5+ anos de experiência em testes de software, Forte experiência em testes manuais, Vivência com Azure DevOps (Test Plans), Experiência em projetos globais

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's profile as an AI Infrastructure Strategist and Systems Architect is a significant mismatch for a Junior Electrical Engineer role focused on public lighting verification. There is a critical gap in the required Electrical Engineering degree, and several fundamental practical requirements for the field position are missing from the resume. **⚠️ Critical Gaps:** - Required Electrical Engineering degree for junior specialist role **✅ Strengths:** - Strong background in systems architecture and automation - Proven fast learner with a self-teaching track record - Proficiency in data analysis and reporting tools (inferred) **❌ Missing Required:** Own vehicle and availability for travel within the municipality, Availability for nocturnal measurements, CNH category A/B

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled modern systems architect and AI infrastructure specialist with strong analytical abilities and past finance domain experience. However, there is a fundamental and critical gap in the required COBOL and mainframe development skills, which are central to this role, leading to a significant mismatch. **⚠️ Critical Gaps:** - Mainframe development (COBOL, JCL, CICS, DB2) **✅ Strengths:** - Strong problem-solving and analytical capabilities evidenced by complex system builds (JIT, AI clusters, trading bots). - Proven 'Fast Learner' with a track record of self-teaching and mastering new, complex domains. - Relevant transferable domain experience in the financial sector (from 2018-2019). **❌ Missing Required:** COBOL, JCL, CICS, DB2, Mainframe experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong capabilities in general systems architecture, automation, and AI infrastructure. However, they critically lack direct experience (5+ years) with the specified mobile test automation frameworks (Appium, WebdriverIO, TypeScript) and specific mobile application architecture knowledge required for this role. Their expertise lies in a different domain than mobile quality assurance. **⚠️ Critical Gaps:** - Mobile Test Automation (Appium, WebdriverIO, TypeScript for 5+ years) - Mobile App Architecture specific knowledge - Mobile Testing Environment (emulators/simulators, device farms, app builds, debugging) - Quality Assurance mindset/experience **✅ Strengths:** - Strong English communication (C2 Certified) - Hands-on experience integrating automation into CI pipelines (general) - Proven fast learner with a strong background in architecting complex systems and infrastructure **❌ Missing Required:** 5+ years experience on the frameworks Appium and WebdriverIO and language TypeScript, Experience building and maintaining test automation frameworks, Strong experience with Appium for native iOS and Android apps, Understanding of mobile app architecture (views, navigation, async flows, network calls, permissions, deep links, etc.), Comfortable dealing with emulators/simulators, device farms, app builds, and basic mobile debugging, Experience testing REST/GraphQL APIs: auth, error handling, contracts, schema validation, Ability to design end-to-end flows that stitch backend + mobile behavior (mobile aspect)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate exhibits strong capabilities in AI infrastructure, Python automation, and data management, demonstrating a 'fast learner' profile and progressive career trajectory. However, there is a critical and fundamental absence of direct or inferable experience with the core Microsoft Power Platform ecosystem, including Power BI, Power Apps, Copilot Studio, and SharePoint, which are primary requirements for this role. **⚠️ Critical Gaps:** - Microsoft Power Platform ecosystem (Power BI, Power Apps, Copilot Studio, SharePoint) **✅ Strengths:** - Strong experience in Python-based automation and data management. - Proven ability to build and deploy complex systems from concept to production (AI clusters, JIT inventory). - Demonstrated 'fast learner' and a clear, intentional career progression towards technical and AI-centric roles. **❌ Missing Required:** Power BI, Power Apps, Power Platform, Copilot Studio, SharePoint, Didactics

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents strong foundational skills in system architecture, automation, Python-driven data processing, and general cloud infrastructure. However, the application has significant gaps in specific Azure data analytical platforms like Databricks, Data Lake Storage Gen2, and Azure IAM, which are explicitly required. Their proven rapid learning ability and relevant domain experience in complex systems partially offset these specific technology stack differences. **✅ Strengths:** - Extensive Python proficiency applied to automation, data processing, and system building. - Proven track record in architecting and deploying resilient, automated systems and infrastructure. - Exceptional self-learning capability and progressive career trajectory towards technical and AI roles. **❌ Missing Required:** Azure Databricks (platform usage, configuration, Unity Catalog, External Locations), Azure Data Lake Storage Gen2, Azure IAM / Entra ID (enterprise applications, registered applications, service principals, user groups, basic IAM concepts), Cloud analytical platforms (specific Azure ones)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong match for the Data Engineer role, demonstrating extensive experience in AI infrastructure, LLMs, and automated data systems. Their 'Fast Learner' profile and transferable domain knowledge further enhance their suitability, despite specific tool mismatches for Databricks and LangChain. **✅ Strengths:** - Strong experience in AI infrastructure and LLMs (GenAI, RAG, AI Agents, Prompt Engineering). - Proven track record in building automated systems and data pipelines (Data Engineering, Python, Automation). - Solid foundational skills in Infrastructure as Code (Terraform, AWS) and a 'Fast Learner' aptitude for new technologies. **❌ Missing Required:** Databricks, LangChain

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for this research study, possessing direct experience with cloud computing and security solutions. As a founder, they have clear purchase influence and management responsibilities over relevant systems, fulfilling all key requirements for the study. **✅ Strengths:** - Direct and recent experience with cloud infrastructure and security solutions (e.g., AWS Basics, SSO, LLM privacy). - Proven purchase influence and management of IT/operational systems, notably as the founder of an e-commerce business. - Exceptional 'fast learner' profile demonstrated by self-taught AI, algorithmic trading, and continuous education, aligning with emerging tech focus.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] The candidate has strong technical foundation and systems thinking from Supply Chain/Automation background, but lacks the critical enterprise systems experience (SAP, Oracle EBS, ERP) and IT service management expertise required for this Systems Coordinator role. The position requires proven leadership of technical teams and deep experience with corporate critical systems, which the candidate does not demonstrate. However, the candidate's systems architecture mindset, automation experience, and quick learning ability provide some transferable foundation. **⚠️ Critical Gaps:** - No proven experience leading technical IT teams (BLOCKING - core requirement) - No hands-on experience with enterprise ERP systems like SAP or Oracle EBS (BLOCKING - explicitly required) - No background in IT service management or support functions (BLOCKING - core function) - No experience with IT vendor/supplier contract management (BLOCKING - listed responsibility) **✅ Strengths:** - Strong systems thinking and end-to-end architecture design from e-commerce automation project - Proven ability to rapidly learn and implement new technologies (self-hosted LLMs, AI infrastructure) - Solid foundation in process optimization, automation, and operational efficiency from Supply Chain background **❌ Missing Required:** SAP or Oracle EBS experience, Proven technical team leadership, IT systems support/maintenance experience, E-commerce platform administration, IT governance and information security policies knowledge, ITIL or IT service management frameworks, IT contract management and vendor negotiation, Budget control for IT departments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong alignment on supply chain fundamentals, project management capability, and business-technical bridge role. Candidate has proven supply chain experience (Pronutri, Electrolux), MITx Supply Chain certification, and demonstrated ability to architect complex systems independently. However, this is a consulting-heavy role requiring client acquisition, team leadership, and frequent travel - areas where the candidate's recent focus has been on self-employed technical builds rather than consulting delivery. The technical and supply chain foundation is solid, but the sales/consulting execution experience needs development. **✅ Strengths:** - Supply Chain Management foundation: Formal education (MITx MicroMasters), hands-on experience (Procurement, Production Planning at Pronutri/Electrolux), and proven JIT system architecture - Technical-Business Bridge: Unique combination of supply chain operations, financial analysis, and systems architecture - exactly the profile for translating client needs into technical solutions - System Design & Delivery: Demonstrated ability to independently architect and deploy production-grade automated systems (e-commerce JIT achieving >95% efficiency), showing strong project execution capability **❌ Missing Required:** Proven track record of delivering complex consulting projects, Experience leading cross-functional teams (people management), Client acquisition and business development experience, Transportation/logistics consulting background

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a fundamental domain mismatch. The role requires 5+ years of Unity/C# game development with shipped mobile applications. The candidate is a Solutions Architect/Systems Engineer with Python automation background, zero Unity experience, no C# expertise, no game development history, and no mobile app deployment track record. While the candidate demonstrates strong learning ability and systems thinking, the gap between infrastructure/automation engineering and professional game development is too significant for this senior-level position requiring immediate production contribution. **⚠️ Critical Gaps:** - Unity Engine - BLOCKING (Required: Expert with 5+ years, Found: None) - C# Programming - BLOCKING (Required: Expert-level, Found: None) - Game Development Experience - BLOCKING (Required: 5+ years professional, Found: None) - Mobile App Deployment - BLOCKING (Required: Proven App Store/Play Store deployments, Found: None) - 3D Math & Game Physics - BLOCKING (Required: Strong foundation, Found: Not demonstrated) **✅ Strengths:** - Strong systems architecture thinking and automation mindset - Proven ability to learn and master new technical domains independently - RESTful API integration experience could transfer to game backend work **❌ Missing Required:** 5+ years professional game/interactive app development, Expert-level C# proficiency, Unity 2020/2021+ suite expertise, Deployed applications to App Store or Google Play, 3D mathematics foundation, Game physics knowledge, Object-oriented game programming patterns, Bachelor's in Computer Science or Games Technology (has Mechatronics)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong systems architecture and implementation background with proven ability to deliver end-to-end solutions. The candidate demonstrates the 'Bridge' skillset Hexagon needs - connecting business needs to technical execution. However, lacks domain-specific knowledge of Hexagon's Smart® product suite and Oracle/MSSQL DBA experience. The candidate's supply chain analytics, ERP integration experience (TOTVS, SAP), and automation expertise align well with implementation analyst responsibilities. Age 33 with demonstrated 'Builder' mentality and fast-learning capability makes missing technical tools learnable within 3-6 months. **✅ Strengths:** - Proven Implementation & Automation Expert: Built production-grade automated systems from scratch (JIT inventory with 95%+ in-stock rate). Directly matches 'implementation of projects and solutions' requirement. - Business-to-Technical Bridge: 10+ years translating business needs (supply chain, finance) into technical architecture - exactly what 'creative solutions to customer application needs' demands. - Systems Integration & Documentation: Demonstrated ability to integrate complex systems (APIs, ERP, warehouse management) with strong analytical and documentation skills from engineering background. **❌ Missing Required:** Intergraph Smart® 3D (core product knowledge)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong supply chain, data-driven automation, and end-to-end delivery align well; gaps are Amazon-specific mechanisms and advanced Excel depth. **✅ Strengths:** - Supply Chain Analytics and JIT Systems - Python Automation and Data Pipelines - End-to-End Systems Architecture

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong track record in process optimization and end-to-end delivery aligns with internal consulting; lacks explicit formal project-methodology credentials and franchising exposure but shows fast-learner capacity from complex systems built. **✅ Strengths:** - Process automation and optimization - Supply chain/ERP improvement experience - Ability to architect and scale complex systems **❌ Missing Required:** Agile/Scrum, PMBOK, BPM/BPMN

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Strong Python, systems architecture, and business-tech bridge; gaps in AWS analytics stack, dashboards, and formal data governance; leadership and fast-learning mitigate. **⚠️ Critical Gaps:** - AWS Glue/Athena/QuickSight/Redshift (production experience) - Enterprise data governance standards - Dashboarding/BI for executive indicators **✅ Strengths:** - Python automation and data tooling - Systems architecture bridging business and technology - Ownership and delivery of production-grade systems **❌ Missing Required:** AWS Glue/Athena/Redshift/QuickSight familiarity, Dashboarding (BI/QuickSight), Data governance and versioning in analytics pipelines

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5] Strong in Docker, Terraform, and Python automation, but missing cloud (Azure/Oracle) and Kubernetes stack plus monitoring/DevSecOps tools required for the role. **⚠️ Critical Gaps:** - Azure - Oracle Cloud (OCI) - Kubernetes **✅ Strengths:** - Docker - Terraform - Python/Shell automation **❌ Missing Required:** Azure, Oracle Cloud (OCI), Kubernetes, Helm, Ingress, AKS, OKE, Ansible, GitHub Actions, Azure DevOps, Datadog, DevSecOps, PowerShell, Agile/Scrum

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5] Experiência forte em integração/automação e arquitetura end‑to‑end cobre API/SFTP, análise de dados e documentação; faltam menções explícitas a Excel intermediário e configurações TEM‑específicas. **✅ Strengths:** - Integração e automação com Python - Arquitetura de sistemas fim-a-fim - Aprendizagem rápida e execução independente **❌ Missing Required:** Excel (intermediário), Gestão de credenciais SFTP

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5] Strong systems/automation and leadership, but lacks core senior data engineering stack (Denodo, Teradata, Databricks) and advanced SQL/data modeling; fast learner potential mitigates some risk. **⚠️ Critical Gaps:** - Denodo - Teradata - Databricks **✅ Strengths:** - Python automation and building production-grade systems - Infrastructure skills (Docker/Terraform) and architecture mindset - Leadership and end-to-end ownership **❌ Missing Required:** Advanced SQL optimization, Data Modeling (Dimensional/Kimball), Denodo, Teradata, Databricks

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5] Strong systems/security-adjacent background and leadership, but lacks core app-security experience and required PHP/JavaScript proficiency for a senior security engineering role. **⚠️ Critical Gaps:** - PHP proficiency - JavaScript proficiency - Application security engineering (OWASP, threat modeling) **✅ Strengths:** - Identity & access management (SSO/RBAC) - Systems architecture & automation - CI/CD and infrastructure (Docker/Terraform/AWS basics) **❌ Missing Required:** PHP (proficiency), JavaScript (proficiency), Threat modeling, Application-level vulnerabilities (OWASP), Secure coding practices for web platforms