[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate possesses strong analytical, financial, and systems architecture skills but has a critical, insurmountable gap in the core domain. The role requires deep, hands-on experience in the Brazilian beef cattle industry (pecuária de corte), including animal nutrition and specific agricultural finance, which the candidate's tech and AI-focused background completely lacks. **⚠️ Critical Gaps:** - The candidate's entire career trajectory is in Technology, Finance, and AI, whereas the job is fundamentally in Agribusiness and Animal Science. This represents a complete domain mismatch. **✅ Strengths:** - Strong analytical and systems-thinking mindset - Adjacent experience in financial instruments and risk management - Proven ability to self-teach and master complex new domains (Fast Learner) **❌ Missing Required:** Graduação em Medicina Veterinária, Zootecnia ou Agronomia, Experiência no ciclo pecuária de corte, Vivência em confinamento e nutrição animal, Domínio de operações de Hedge para commodities agrícolas

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong conceptual architect with proven experience in designing complex, automated systems from the ground up, aligning well with the role's emphasis on DDD, EDA, and DevOps. However, there is a critical and significant gap: a complete lack of demonstrated experience in the core .NET/C# technology stack, which makes this a high-risk fit despite the strong architectural skills. **⚠️ Critical Gaps:** - Required technology stack: .NET / .NET Core / C# **✅ Strengths:** - Deep expertise in Systems Architecture and Automation - Strong, demonstrated skills in DevOps, CI/CD, and Infrastructure (Docker, Terraform) - Proven Fast Learner with a track record of self-teaching complex domains (AI, Algo Trading) **❌ Missing Required:** Experience with agile methodologies (Scrum, Kanban)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is disqualified due to a hard filter: the role requires fluent Spanish, which the candidate does not possess. Beyond this, while the candidate has an exceptionally strong technical and systems architecture background, this is a poor fit for a business-facing Product Owner role focused on governance and stakeholder management, not technical implementation. **⚠️ Critical Gaps:** - The role is a 'Product Owner' focused on business partnership and governance, whereas the candidate's experience is in technical systems architecture and engineering. - The job requires fluent Spanish as a 'must', which is a language requirement the candidate does not meet. **✅ Strengths:** - Strong track record of self-teaching and mastering complex domains (AI, Algorithmic Trading). - Deep experience in process automation and building resilient systems. - Relevant background in Finance and Supply Chain analytics for a 'Risk' focused role. **❌ Missing Required:** Fluent Spanish, Experience in a Product Owner or direct Business Partnership role

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a highly accomplished systems architect with strong backend, automation, and data skills. While a proven fast learner, there is a critical gap regarding the core requirement of mobile development (Android), which is a completely different domain from their demonstrated expertise in AI infrastructure and automated systems. **⚠️ Critical Gaps:** - Mobile Development (Android) **✅ Strengths:** - Proven Fast Learner & Self-starter - Strong Programming Fundamentals (Python, SQL) - Systems Architecture & Automation Experience **❌ Missing Required:** Conhecimento básico em desenvolvimento mobile (Android Nativo)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems Architect and technical leader, but this is a fundamental mismatch for a process-oriented PMO role. His experience is in hands-on project execution and architecture, while the job requires skills in governance, methodology, and creating management reports, which are absent from the resume. **⚠️ Critical Gaps:** - The candidate's profile is focused on technical architecture and hands-on system building, whereas the role is for a Project Management Office (PMO), which is centered on process, governance, and methodology, not direct project execution. **✅ Strengths:** - Proven ability to manage complex technical projects from concept to completion - Deep understanding of system dependencies and risk management at a technical level - Fast learner with a track record of entering new domains successfully **❌ Missing Required:** Atuação em PMO, Consolidação de status e relatórios gerenciais

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] The candidate is a strong technical architect with extensive, relevant experience in supply chain and building ROI-focused automated systems. His background aligns perfectly with the goal of optimizing the livestock supply chain through technology. However, he lacks proficiency in Spanish and does not explicitly mention experience with formal Product Management frameworks like OKRs and Product Analytics. **⚠️ Critical Gaps:** - Espanhol avançado é um requisito e não consta no currículo. **✅ Strengths:** - Profunda experiência em Supply Chain e automação de sistemas (MIT MicroMasters, sistema JIT) - Capacidade comprovada de autoaprendizagem e aplicação de tecnologias complexas (IA, quant) - Forte background em engenharia com foco em ROI e eficiência operacional **❌ Missing Required:** Espanhol (Avançado), Experiência com OKRs (Objectives and Key Results), Conhecimento em Product Analytics, Experiência com metodologias de Product Discovery (JTBD, Design Thinking)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate has strong, transferable skills in technology architecture, process automation, and bridging business to tech. However, the role's mandatory requirement of fluent Spanish is not met. Furthermore, there is a critical gap, as the candidate lacks any experience in the Human Capital domain and the Product Owner role. **⚠️ Critical Gaps:** - Missing mandatory language requirement (Spanish) - No experience in Human Capital domain - No experience in a Product Owner role **✅ Strengths:** - Proven experience as a bridge between business and technology - Deep expertise in system automation and process design - Fast learner with a track record of entering new domains **❌ Missing Required:** Spanish (Fluent)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is a near-perfect fit, demonstrating strong, inferred experience in program management by architecting and deploying complex, end-to-end automated business systems. His career trajectory from supply chain and finance into systems architecture provides the ideal blend of business acumen and deep technical capability required for this role. The 'strong plus' for AI/LLM project experience is deeply satisfied by his hands-on work in self-hosting AI clusters. **✅ Strengths:** - Architecting and leading complex business system projects (automated JIT system) - Direct hands-on experience managing AI/LLM component projects - Deep understanding of business logic (Supply Chain, Finance) translated to technical systems

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technologist with impressive, self-taught skills in AI and systems architecture, which meets the technical knowledge requirement. However, this is a POOR FIT because the role is for a Senior Project Manager, and the candidate has no demonstrated experience in formal project management, methodologies (PMP, Scrum), or tools (MS Project, Jira). The candidate's career trajectory is moving deeper into technical specialization, not the people and process management required by this role. **⚠️ Critical Gaps:** - Career track mismatch: The candidate is a hands-on Systems Architect/AI Specialist, while the job is for a process-oriented Senior Project Manager. **✅ Strengths:** - Deep technical knowledge of infrastructure, software development, and system integration. - Proven fast learner with a strong track record of self-teaching complex technologies. - Fluent in English (C2), meeting the language requirement. **❌ Missing Required:** 8+ years of senior Project Management experience, Proficiency in PM methodologies (PMP, Agile, PMBOK), Expertise in PM tools (MS Project, Jira, Planner), Experience managing project scope, schedule, and budget, Client and executive stakeholder management

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] The candidate is a strong systems architect with proven experience in leading complex technical projects from concept to completion, demonstrating most required project management skills like planning, risk management, and resource estimation. The primary gap is the lack of explicit experience in personnel management, such as hiring and team evaluation, which is a stated requirement for the role. **✅ Strengths:** - Deep understanding of project lifecycle through hands-on system architecture - Proven leadership as a founder and technical lead - Strong risk management skills from financial and engineering domains **❌ Missing Required:** Seleção e avaliação de pessoal para compor equipes de projetos

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly technical and accomplished systems architect with a strong entrepreneurial drive, but lacks the core experience required for this client-facing Delivery Manager role. There is a critical gap in external client management and no demonstrated experience in formal project/delivery management methodologies or tools. **⚠️ Critical Gaps:** - Experience managing external clients **✅ Strengths:** - Strong technical background (Systems Architecture/AI) - Proven self-starter and fast learner - Fluent in English **❌ Missing Required:** 3+ years of experience in project/delivery management, Experience as a delivery manager, Proficiency in project management software and tools

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] The candidate possesses a strong technical foundation in supply chain, proven by an MIT MicroMasters and hands-on experience architecting a JIT inventory system. However, there is a critical gap concerning the client acquisition and sales responsibilities of the consulting role, as their career trajectory shows a move towards deep technology, not business development. **⚠️ Critical Gaps:** - Client acquisition and sales focus (role appears to be ~50% consulting/sales, candidate is 100% technical builder) **✅ Strengths:** - Deep Supply Chain technical expertise (MIT MicroMasters, JIT system) - Proven Systems Architect (from concept to production) - Strong Project Management background in SCM **❌ Missing Required:** Experience in acquiring new clients, Developing sales leads, Representing company at marketing events

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is heavily overqualified in Linux and hardware but has critical gaps in the core responsibilities of the role. The position is centered around Microsoft 365 administration and end-user support, domains where the candidate has no demonstrated experience. This role represents a significant step backward and a pivot away from their established career trajectory into AI infrastructure. **⚠️ Critical Gaps:** - Microsoft 365 Administration (Entra ID, Exchange, Intune) - End-User Support **✅ Strengths:** - Deeply skilled in Linux and hardware infrastructure - Proven fast learner with a track record of self-teaching complex systems - Strong background in automation and systems architecture **❌ Missing Required:** Experiência com Microsoft 365 (Entra ID, Exchange, Intune e Defender), Experiência com suporte a usuários, Conhecimento prático em Windows

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] O candidato é um tecnólogo e arquiteto de sistemas de alta qualidade, com um histórico comprovado de liderança em projetos complexos e uma forte trajetória de autoaprendizagem. No entanto, existe uma lacuna crítica na experiência de domínio exigida em projetos de segurança de TI (microssegmentação, endpoints) e uma falta de experiência explícita com ferramentas essenciais de gerenciamento de projetos como Jira e metodologias formais como Scrum. **⚠️ Critical Gaps:** - Experiência em projetos de segurança, com ênfase em microssegmentação e endpoints **✅ Strengths:** - Tradução de requisitos técnicos para o negócio - Arquitetura de sistemas (do conceito à produção) - Análise financeira e de risco **❌ Missing Required:** 4 anos como Gerente de Projetos de TI (título formal), Scrum, Kanban, Jira, Confluence, Power BI

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong match due to extensive experience in systems architecture, project leadership, and a deep background in supply chain analytics. While not having direct experience in deploying large-scale physical corporate networks, their proven ability to architect and deploy complex technical systems (like JIT inventory engines and self-hosted AI clusters) makes this a highly transferable and learnable gap. The candidate's career trajectory and fast-learner profile indicate a high probability of success. **✅ Strengths:** - Deep Supply Chain & Logistics Domain Knowledge - Proven Systems Architecture & Automation Skills - Demonstrated Fast Learner in Complex Technical Fields

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect and Python developer with a proven ability to build complex, automated systems from scratch. However, there is a critical and disqualifying gap in the core domain of this role: fine-grained user authorisation and permission modeling. **⚠️ Critical Gaps:** - authorisation at scale - fine-grained permission models (ReBAC/ABAC) **✅ Strengths:** - Deep Python expertise for complex systems - Proven ability to architect, build, and automate entire business systems - Strong infrastructure experience (Docker, self-hosted clusters) **❌ Missing Required:** Experience with large datasets in systems such as Postgres, CockroachDB or DynamoDB, Hands-on experience with fine-grained authorisation models, Proven ability to model complex organisational hierarchies and permission inheritance

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly technical Systems Architect with a background in AI infrastructure and automation, while the role is a non-technical, operational Resource Manager focused on administrative tools like Wrike and Salesforce. There is a fundamental mismatch in career trajectory, core skills, and professional experience. The candidate's profile is moving deeper into technology, whereas this role is in operational management. **⚠️ Critical Gaps:** - Candidate's profile is deeply technical (AI/Systems Architecture/Python) while the role is purely operational and administrative (Resource/Project Management). **✅ Strengths:** - Proven ability to architect and build complex systems from scratch - Strong background in automation and process optimization - Demonstrated fast learner across multiple technical domains **❌ Missing Required:** 4+ years of experience in resource planning or operations, Strong proficiency with resource planning tools (e.g., Wrike), Working knowledge of Salesforce

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate has exceptional technical and architectural skills, perfectly aligning with the need for systems integration and a 'hands-on' approach. However, the profile is disqualified due to the on-site requirement in Curitiba, as the candidate is based in São Paulo. Furthermore, there is a critical gap regarding the mandatory proficiency in MS Project and formal PMBOK methodologies, which are central to the role. **⚠️ Critical Gaps:** - Location: Job is on-site in Curitiba, candidate is in Sao Paulo. - Domínio Avançado de MS Project (Mandatory Tool) **✅ Strengths:** - Deep technical understanding of systems architecture and integration - Proven 'hands-on' ability to build complex automated systems (JIT Engine) - Strong background in automation and process improvement via Python and Supply Chain experience **❌ Missing Required:** MS Project, Gestão Híbrida (Preditivas/PMBOK), Liderança de equipes formais

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled technical architect and systems engineer with a strong track record in automation and AI infrastructure. However, this profile represents a critical mismatch for a Scrum Master role, which is focused on people, processes, and agile methodologies. The candidate's career trajectory is moving deeper into technology, not towards team/process management. **⚠️ Critical Gaps:** - Agile/Scrum Team Management **✅ Strengths:** - Proven fast learner and self-starter - Deep technical and systems architecture knowledge - Experience automating complex business processes **❌ Missing Required:** Conhecimento como Scrum Master ou atividades afins, Já ter estudado Kanban, Ter algum conhecimento sobre princípios e processo Scrum, experiência com processos e gestão de times

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is a highly skilled technical architect and systems engineer, but their profile represents a fundamental mismatch for this Agile Project Analyst role. The resume lacks any evidence of the core required skills like Scrum, Kanban, product backlog management, or function point analysis. Furthermore, the candidate's career trajectory is moving deeper into technical infrastructure, away from the process and people-oriented nature of this position. **⚠️ Critical Gaps:** - Agile Project Management (SCRUM/Kanban) - The candidate's experience is in technical architecture and solo engineering, not in managing software development processes for a team. **✅ Strengths:** - Deep technical architecture knowledge - Proven fast learner in complex domains (AI, Finance) - Experience building and deploying production-level systems **❌ Missing Required:** Metodologias Ágeis (SCRUM e Kanban), Análise de Ponto de Função, ITIL V4 Foundation

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate is a strong conceptual match, demonstrating a deep understanding of systems architecture, automation, and data pipelines from first principles. His background in building and deploying complex, production-level systems (JIT inventory, LLM clusters) strongly suggests he can master the required AI tasks. The primary gap is a lack of stated experience with the specific GenAI application frameworks (LangChain, RAG) and the Azure cloud ecosystem. **✅ Strengths:** - Deep Python & Automation Skills - Proven Systems Architecture (from scratch) - Strong Business Acumen (Finance/Supply Chain background) **❌ Missing Required:** GenAI Application Frameworks (LangChain, CrewAI, etc.), RAG (Retrieval-Augmented Generation), Microsoft Azure, FastAPI, Specific Databases (SQL Server, CosmosDB)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate demonstrates exceptional strength in DevOps, systems architecture, and automation, which are valuable secondary skills for this role. However, there is a fundamental and critical gap: the complete absence of PHP, Laravel, or Symfony experience, which is the primary requirement for this Senior Developer position. The candidate's career trajectory is also moving away from web development towards AI infrastructure. **⚠️ Critical Gaps:** - Senior-level PHP development experience; candidate's background is in Python and Systems Architecture. **✅ Strengths:** - Expertise in modern DevOps practices (CI/CD, Docker, Automation) - Proven ability to architect complex, automated systems from the ground up - Strong transferable skills in database management and API integration **❌ Missing Required:** PHP, Laravel, Symfony

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly capable backend and infrastructure architect with impressive, demonstrated abilities in system design, automation, and AI. However, this is a Full Stack role requiring specific experience in NestJS and Vue. The candidate's resume shows zero frontend experience, creating a critical domain gap that makes him a poor fit for this specific position despite his overall technical talent. **⚠️ Critical Gaps:** - Frontend Development (Vue, TanStack) **✅ Strengths:** - AI/LLM Infrastructure Experience - End-to-End System Architecture (from concept to production) - Proven Fast Learner & Startup Experience (Founder) **❌ Missing Required:** NestJS, Vue, TanStack, MongoDB / Mongoose, Redis, Vercel, Supabase

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit. The role requires an experienced Tableau Consultant, but the candidate's resume shows no experience with Tableau or any other BI visualization tools. Their background in systems architecture, Python automation, and AI infrastructure is impressive but entirely misaligned with the job's core responsibilities. **⚠️ Critical Gaps:** - The candidate's experience is in backend systems engineering and AI infrastructure, while the job is for a frontend Business Intelligence and data visualization consultant. This is a fundamental domain mismatch. **✅ Strengths:** - Systems Architecture - Python Automation - Problem Solving **❌ Missing Required:** Tableau, Tableau Prep, Virtualizing connections, Role-level security, UI/UX testing experience, Experience creating visualization templates, Experience supporting a large user base (600 users)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] The candidate is a strong systems architect and quantitative developer with proven excellence in Python, SQL, automation, and building production-grade financial systems. While lacking direct experience with the specific credit data science stack (Spark, Databricks, Scikit-learn), his demonstrated ability to self-teach complex technical domains (AI infrastructure, algorithmic trading) and clear trajectory towards AI make him a high-potential candidate who can bridge these gaps quickly. **⚠️ Critical Gaps:** - Direct experience in credit/transaction risk modeling - Proficiency with large-scale data processing frameworks like Spark and Databricks **✅ Strengths:** - Expert-level Python for automation and quantitative analysis - Proven ability to architect and build production-grade automated systems from scratch - Strong transferable experience from algorithmic trading and financial analysis **❌ Missing Required:** Spark, Databricks, Scikit-learn, Deep knowledge of classification/regression algorithms, Model explanation techniques (SHAP, etc.), A/B testing

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] The candidate is a strong conceptual fit with proven experience in system architecture, AI infrastructure, and full product ownership in a cost-conscious, startup environment. However, there is a critical technology gap, as they have no demonstrated experience with the required full-stack combination of NestJS (backend) and Vue (frontend), their expertise being in Python and systems-level work. **⚠️ Critical Gaps:** - Full Stack Experience (NestJS/Vue) - Frontend Development (Vue) **✅ Strengths:** - Full product ownership as a founder - Deep experience with AI infrastructure and automation - Proven ability to architect ROI-focused systems **❌ Missing Required:** NestJS, MongoDB / Mongoose, Vue, TanStack, Redis, Vercel, Supabase

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is an exceptionally strong systems architect and backend engineer with proven experience in building complex, scalable, and automated systems from scratch. However, they are a poor fit for this specific role due to critical gaps in the required full-stack technologies. The role requires NestJS and Vue, whereas the candidate's experience is in Python/Go and they have no demonstrated frontend experience. **⚠️ Critical Gaps:** - Frontend Development (The role requires Vue and TanStack, but the candidate's resume shows no frontend experience) **✅ Strengths:** - End-to-end system architecture from concept to production - Deep experience in automation, AI infrastructure, and cost-conscious system design - Proven founder mindset with full ownership of products **❌ Missing Required:** NestJS, Vue, TanStack, MongoDB / Mongoose, Vercel, Supabase

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly intelligent, technical, and proactive individual with excellent English. However, there is a fundamental mismatch between their career trajectory in deep systems/AI infrastructure and the job's core requirement of customer support experience. This critical gap makes them a poor fit for a customer-facing role. **⚠️ Critical Gaps:** - 1+ year experience in a customer support role **✅ Strengths:** - Excellent English communication (C2/Fluent) - Strong analytical and research skills from a technical background - Proven fast learner with a proactive attitude **❌ Missing Required:** At least 1 year experience in customer support role

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect and Python developer with impressive experience in building complex, automated backend and AI infrastructure. However, this role requires an Intermediate Test Automation Engineer with 3-5 years of hands-on experience in Java, API testing frameworks (like REST Assured), and manual/UI testing, none of which are present in the candidate's resume. This represents a critical gap in both core language and primary job function. **⚠️ Critical Gaps:** - Core Language (Python vs. Java) - Primary Discipline (Systems Architecture vs. Test Automation) **✅ Strengths:** - Deep Python & Automation Skills - Strong Infrastructure (Docker/CI/CD) Background - Proven Fast Learner with Complex Projects **❌ Missing Required:** 3-5 years of experience in test automation with Java, Strong background in API testing and automation (REST Assured, Postman, or similar), Experience working with CI/CD pipelines (Jenkins), Experience performing manual testing of backend or middleware systems, Experience testing UI components

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is an exceptionally strong backend and systems architect with a proven track record of building complex, automated systems from scratch. However, this is a full-stack role, and the resume shows a critical gap with zero demonstrated experience in frontend technologies like React or TypeScript, or a focus on user experience. **⚠️ Critical Gaps:** - Frontend Development (React, SPA) **✅ Strengths:** - Systems Architecture Design - Backend Development (Python) - Automation & Infrastructure **❌ Missing Required:** React, TypeScript, Eye for detail and user experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Python backend and systems architect with proven experience in building complex, automated systems. However, the role requires frontend development (React/Angular) and specific Java frameworks (Spring Boot), which represent critical and significant skill gaps. The candidate's profile is a poor fit for a full-stack position but would be strong for a Python-focused backend or infrastructure role. **⚠️ Critical Gaps:** - Frontend development (React or Angular) **✅ Strengths:** - Deep Python expertise - Systems Architecture - Automation & CI/CD **❌ Missing Required:** Spring Boot, Quarkus

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a highly skilled Systems Architect and AI Engineer with exceptional, demonstrated experience in crucial required areas like scalable architecture, Docker, CI/CD, and SQL. However, there is a fundamental mismatch with the core technologies of the role, as the candidate's expertise is in Python/Infrastructure, not the required Node.js and React full-stack ecosystem. The high score reflects senior-level engineering capability, but the technology gap is significant. **⚠️ Critical Gaps:** - Node.js Ecosystem (Required Backend) - React (Required Frontend) **✅ Strengths:** - Deep expertise in system architecture and automation from scratch. - Proven ability to build and deploy complex, modern systems (AI Clusters, JIT inventory). - Strong, demonstrated skills in Docker, CI/CD, and Infrastructure as Code (Terraform). **❌ Missing Required:** Node.js, React

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong, if unconventionally experienced, match for this role. Their demonstrated history of building complex, data-intensive systems from scratch (self-hosted LLMs, trading bots) strongly infers mastery of the required technical skills (SQL, Python, large data handling) at a level far exceeding the job description's requirements. The career progression from Finance/Supply Chain to AI Systems Architecture provides the perfect blend of business acumen and deep technical expertise required to act as a bridge between departments. **✅ Strengths:** - Deep expertise in building and managing large-scale data systems, indicating mastery of data handling. - Proven fast learner with a track record of self-teaching complex technical domains (AI, Algorithmic Trading). - Career path bridges business (Finance/Supply Chain) and deep technology (AI Infrastructure), ideal for this role.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly impressive systems architect and backend engineer with proven fast-learning capabilities. However, their experience is in infrastructure, automation, and trading systems, a domain completely different from the core requirements of this role, which are specialized data visualization (Shiny for Python) and BI (Looker Studio). The lack of any demonstrated experience in front-end visualization, UI/UX design, or the required tools makes this a poor fit despite strong foundational skills in Python and SQL. **⚠️ Critical Gaps:** - Data Visualization Product Development (Shiny for Python) - Business Intelligence and Internal Reporting Management (Looker Studio) **✅ Strengths:** - Deep Python expertise in a backend/automation context - Strong systems architecture and integration skills - Proven ability to self-teach and master complex technical domains **❌ Missing Required:** Advanced Proficiency in Shiny for Python, Expert BI Tool Experience (Looker Studio), 3+ years of dedicated, hands-on experience in a role focused on data visualization development

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly specialized Systems Architect and AI engineer with a deep technical profile. The role is for an administrative Assistant Project Manager. There is a critical mismatch in career trajectory and core skills, as the candidate's profile is technical and architectural, while the job requires organizational and administrative competencies. **⚠️ Critical Gaps:** - Candidate is a deep technical specialist (AI/Systems Architecture), while the role is non-technical and administrative (Project Management). **✅ Strengths:** - Exceptional systems architecture and automation skills - Proven ability to self-teach and master complex domains (AI, Finance) - Strong analytical background in supply chain and finance **❌ Missing Required:** Experience with formal project management methodologies, Demonstrated use of project management software, Experience creating project schedules and status reports.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect and AI Engineer with a proven fast-learning track record and relevant domain experience in finance. However, there is a fundamental technology stack mismatch. The role requires deep, consolidated experience in C#/.NET and frontend frameworks like Vue.js/Flutter, which are entirely absent from the candidate's Python and infrastructure-focused background. **⚠️ Critical Gaps:** - C# / .NET Development - Frontend Development (Vue.JS, Flutter) **✅ Strengths:** - Systems Architecture & Automation - AI Infrastructure & Self-Hosting - Rapid Learning & Adaptability **❌ Missing Required:** C#, .NET Core, Vue.JS, Flutter, ASP.NET Web Forms, ASP.NET MVC

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate demonstrates strong transferable skills in systems architecture, program management, and leading cross-functional projects. However, there is a critical and disqualifying gap in the core domain knowledge of submarine cables, marine engineering, and related permitting, which are central to the role. **⚠️ Critical Gaps:** - Experience with submarine cables (e.g., deployment, installation, testing, or equipment handling) - Understanding of multiple areas relevant to submarine cable deployment **✅ Strengths:** - Systems Architecture & Automation - Proven Fast Learner & Self-Starter - End-to-End Project Ownership (Founder Experience) **❌ Missing Required:** Experience with submarine cables, Spanish fluency

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is a strong conceptual fit, demonstrating end-to-end ownership of complex automated systems and deep, self-taught experience in LLM infrastructure. His background in agentic systems and data pipelines is a major strength, though a critical gap exists in the required TypeScript/Node.js stack and specific observability tooling. **⚠️ Critical Gaps:** - TypeScript (Node/Nest BFF) **✅ Strengths:** - End-to-end system ownership and architecture - Deep, hands-on experience with LLM infrastructure and deployment - Proven ability to build agentic systems and automated data pipelines **❌ Missing Required:** Python FastAPI (has Python, not the framework), Observability tooling (structured logging, tracing, metrics), Streaming APIs (WebSocket/SSE)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is a near-perfect fit, demonstrating deep, practical experience in architecting the exact types of AI systems required. His background combines hands-on generative AI (self-hosted LLMs), predictive modeling (algorithmic trading), and direct consulting experience, making him a strong strategic advisor. The career trajectory shows a deliberate and successful progression into the AI domain. **✅ Strengths:** - Direct hands-on experience self-hosting and optimizing LLMs, proving deep technical expertise. - Proven ability to architect, build, and deploy complex autonomous systems (JIT inventory, trading bots). - Strong consulting background combined with a founder's mentality and business acumen (ROI focus).

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly technical Systems Architect with a strong background in AI infrastructure, finance, and automation. There is a fundamental mismatch with the SAT Tutor role, which requires a background in education, standardized test preparation, and direct teaching experience, none of which are present in the candidate's resume. **⚠️ Critical Gaps:** - The candidate's entire professional history is in technology and engineering, while the role is squarely in the education and tutoring domain. **✅ Strengths:** - Excellent C2-level English fluency - Proven ability to learn complex subjects quickly - Strong technical and analytical background **❌ Missing Required:** Experience preparing students for the SAT, Strong teaching abilities, Familiarity with digital SAT format and College Board materials, Virtual instruction skills

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect and AI Infrastructure specialist, but has no demonstrated experience in the core functions of a QA Engineer. There is a fundamental mismatch between the candidate's career trajectory (architecture, infrastructure) and the job's requirements (manual/automated testing, test planning, QA frameworks). While technically proficient in adjacent areas like Python, SQL, and CI/CD, the candidate lacks the specific testing skills and experience required for this role. **⚠️ Critical Gaps:** - Zero experience with QA automation frameworks like Cypress, Selenium, or REST Assured. - Lacks fundamental experience in designing test strategies, test plans, and test cases. - No demonstrated experience in front-end (web) or mobile application testing. **✅ Strengths:** - Deep expertise in systems architecture and building automated, production-grade systems from scratch. - Proven ability to rapidly learn and implement complex technologies (e.g., self-hosting LLMs). - Strong background in Python, SQL, and CI/CD pipelines. **❌ Missing Required:** Solid experience in software testing, Proficiency in test automation (Cypress, Selenium, REST Assured), Experience with mobile and web application testing

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a Systems Architect and AI Infrastructure Engineer, while the role is for a Quality Analyst. This represents a critical career path mismatch. The candidate's expertise is in building and architecting systems, not in the required QA methodologies, multi-platform testing, or defect management processes. **⚠️ Critical Gaps:** - Quality Assurance as a Domain: Candidate's experience is in system architecture and engineering, not software testing. - Test Automation: Candidate's automation experience is in infrastructure/ops (Python/Shell scripting), not QA automation frameworks. - Multi-platform Testing (Web, Android, iOS): No experience demonstrated in testing applications on these platforms. **✅ Strengths:** - Strong Python and automation skills (though not in a QA context) - Deep infrastructure knowledge (Docker, Local AI Clusters) - Proven fast learner with a track record of mastering new technical domains **❌ Missing Required:** Planejamento e execução testes em múltiplas plataformas(Web, Android,iOS), Experiência no planejamento de testes (BDD, gherkin), Abertura e acompanhamento de defeitos, Experiência no uso de ferramentas de gestão de tarefas (preferencialmente JIRA)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect and a proven fast learner, but lacks critical, domain-specific experience for this Senior DevOps role. There are major gaps in core requirements, including experience with Java-based systems, Ansible, GitLab, and Windows environments, making this a poor fit. **⚠️ Critical Gaps:** - Experience in Java-based systems is required; candidate's background is in Python and Shell scripting. - Role requires Ansible and Docker in Windows environments; candidate's experience appears to be Linux/macOS-based. **✅ Strengths:** - Deep automation and system architecture skills (Python, JIT systems) - Containerization experience (Docker) - Demonstrated fast learner with a strong track record of self-teaching complex technologies. **❌ Missing Required:** GitLab CI/CD, Ansible, 4+ years in a dedicated DevOps role

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly capable systems architect with a strong background in Python-based automation and AI infrastructure. While they meet the educational and language requirements, there is a critical domain gap, as they lack the required hands-on experience in embedded software development (C/C++), microcontrollers, and related automotive processes (ASPICE). **⚠️ Critical Gaps:** - Experience in Embedded Software (C/C++) and Microprocessor/Microcontroller Hardware **✅ Strengths:** - Systems Architecture & Design - Python & Automation - Proven Fast Learner & Self-starter **❌ Missing Required:** Experiência com desenvolvimento de Software Embarcado e/ou Hardware microprocessado ou microcontrolado

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect and engineer with a proven track record of executing complex technical projects. However, there is a critical and disqualifying gap in domain expertise, with no demonstrated experience in hospital construction, architecture, or related regulatory environments (ANVISA, RDCs), which is the core requirement of the role. **⚠️ Critical Gaps:** - Experiência em obras hospitalares / setor da saúde **✅ Strengths:** - Formação em Engenharia - Inglês Fluente - Sólida experiência em gestão de projetos técnicos e automação **❌ Missing Required:** Experiência comprovada em gestão de projetos hospitalares, Conformidade com normas técnicas e regulatórias (ANVISA, RDCs, etc.)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong Systems and Infrastructure Architect with impressive achievements in building complex, automated systems from the ground up. However, the role is for a dedicated Security Architect, creating a significant critical gap. While skills in infrastructure and application logic can be inferred, core security domains like cryptography, identity/access management, and specific cloud security hardening are entirely missing. **⚠️ Critical Gaps:** - Security Architecture (candidate is a Solutions/Infrastructure Architect, not a Security specialist) **✅ Strengths:** - Complex systems architecture from scratch - Automation with Python and CI/CD pipelines - Proven fast learner in technical domains (AI Infra, Quant Dev) **❌ Missing Required:** Criptografia (Cryptography), Segurança na nuvem (Experiência em proteger plataforma AWS e GCP), Identidade e acesso (Identity and access management), Segurança de rede (Firewalls, VPNs)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is technically overqualified but functionally a poor fit. While possessing deep systems architecture and automation skills that exceed the 'platform management' requirement, they lack specific domain experience in sales support. There is a critical mismatch in career trajectory and location, as the candidate is a hands-on AI/Infrastructure engineer and the role is a non-technical, on-site business support position. **⚠️ Critical Gaps:** - Role Mismatch: Candidate is a deep technical architect, while the job is a non-technical business/sales support role. - Geographic Restriction: Job requires on-site presence in São Paulo, which may not align with the candidate's location. **✅ Strengths:** - Exceeds technical requirements for system stability and evolution. - Proven ability to build and manage complex automated systems from scratch. - Strong background connecting business logic (finance, supply chain) to technical implementation. **❌ Missing Required:** Experiência em suporte a vendas (Experience in sales support)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong fit, demonstrating proven leadership as a founder, deep technical experience in architecting complex end-to-end systems, and a background that establishes him as a 'bridge' between business and tech. His skills align perfectly with all stated requirements. The recommendation is contingent on resolving the single critical gap. **⚠️ Critical Gaps:** - The job requires 100% on-site work, which is a potential disqualifier depending on the candidate's location versus the job's location. **✅ Strengths:** - Proven project leadership as Founder and Head of Engineering, directly matching the 'coordination/leadership' requirement. - Deep, hands-on experience architecting and building complex digital platforms (e.g., automated JIT system). - Acts as a 'Technical Bridge' with experience translating business logic for engineering teams, matching the communication requirement.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate possesses strong, demonstrated project management and systems architecture skills but in a completely different domain (Software/AI vs. Civil Engineering/BIM). There is a critical gap due to the complete lack of required experience with BIM methodologies and specific software (Revit, AutoCAD, Navisworks), making it a poor fit despite transferable leadership skills. **⚠️ Critical Gaps:** - Domain Mismatch: Candidate's experience is in Software/IT/AI infrastructure, while the job is in Civil Engineering/Construction using BIM. **✅ Strengths:** - Proven end-to-end project execution (from concept to production) - Strong technical foundation in engineering and automation - Demonstrated ability to self-teach complex new domains **❌ Missing Required:** Conhecimento avançado em metodologias e ferramentas BIM, Proficiência em softwares de modelagem BIM (Revit, AutoCAD, Navisworks), Vivência em compatibilização de projetos multidisciplinares (no contexto de construção)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong technical and linguistic match. Their Mechatronics Engineering degree and extensive experience in automating complex systems (JIT inventory, logistics) align perfectly with the needs of a project coordinator for an industrial machinery company. While potentially overqualified, their skills in project architecture, automation, and operations management demonstrate a high capacity for technical delivery and customer satisfaction. **✅ Strengths:** - Perfect bilingual fluency (Portuguese/English) as required. - Directly relevant Mechatronics, Robotics, and Automation Engineering degree. - Proven experience architecting and managing complex technical projects from end-to-end.