[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a very strong match. His foundational experience in building AI infrastructure from scratch, coupled with a background in finance and systems architecture, strongly infers mastery of core data engineering principles. His proven ability as a fast learner mitigates the lack of direct experience with specific tools like Databricks and Scala. **✅ Strengths:** - Deep foundational knowledge in systems and AI infrastructure - Direct experience in the financial domain - Demonstrated track record of rapid learning and application of complex technologies **❌ Missing Required:** Scala, Databricks, Delta Lake

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Exceptional technical and leadership fit. Candidate demonstrates strong, hands-on experience in architecting and managing complex systems analogous to the role's digital platform. His background as a founder and 'Head of Engineering' directly maps to the required leadership, roadmap, and technical oversight responsibilities. The only major risk is the '100% Presencial' requirement, as the candidate's location may not match the unspecified job location. **⚠️ Critical Gaps:** - Unspecified job location for a '100% Presencial' role **✅ Strengths:** - Hands-on Systems Architecture & Development - Leadership & Project Ownership (as Founder) - Bridging Business Logic and Technical Implementation

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Excellent fit. The candidate's profile as a 'Technical Bridge' with a background in business domains (Finance, Supply Chain) and deep, hands-on systems architecture experience is a perfect match for a role that requires technical problem-solving and translating business needs. His proven ability to build and manage complex automated systems aligns directly with the need for an autonomous, analytical N2 support layer. **✅ Strengths:** - Deep technical skills combined with business domain experience (Finance/Supply Chain) - Proven ability to architect and build autonomous systems from scratch - Acts as a 'bridge' between business requirements and engineering execution **❌ Missing Required:** Oracle (candidate has adjacent SQL skill)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato possui um background técnico excepcionalmente forte e uma trajetória de aprendizado impressionante, alinhada com os requisitos de DevOps e arquitetura. No entanto, existe uma lacuna crítica entre sua experiência prática como construtor de sistemas e as principais responsabilidades de um PGM, que envolvem a gestão de múltiplos times e a governança de processos. A ausência de experiência no setor bancário e em metodologias formais de gestão de projetos resulta em um encaixe fraco. **⚠️ Critical Gaps:** - Experiência na gestão de múltiplos squads e alinhamento de roadmap estratégico - Larga experiência em seguimento bancário **✅ Strengths:** - Forte background técnico em arquitetura de software e engenharia - Conhecimento avançado e prático em DevOps, CI/CD e automação - Capacidade comprovada de aprendizado rápido e resolução de problemas complexos (Fast Learner) **❌ Missing Required:** Certificação ou conhecimento em PMI-ACP, SAFe Program Consultant (SPC), PMP, CSM, PSM III ou equivalente, Experiência com Value Stream Mapping e otimização de fluxo de trabalho

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect with impressive achievements in AI infrastructure and automation. However, there is a fundamental and critical mismatch with the job's core domain: K-12 Educational Technology. The complete lack of experience with required platforms like Toddle, Apple School Manager, and MDM solutions, coupled with zero history in an educational institution, makes this a poor fit despite strong adjacent technical skills. **⚠️ Critical Gaps:** - 5-7 years of experience in an educational institution - Deep mastery of specific EdTech platforms (Toddle, Apple MDM) - Experience with curriculum frameworks (ISTE Standards) **✅ Strengths:** - Proven expertise in Generative AI and Emerging Technologies - Strong background in systems architecture and API integration - Bilingual fluency (Portuguese/English) and based in São Paulo **❌ Missing Required:** Experience in an educational institution, Mastery of Toddle learning platform, Expert-level knowledge of Apple School Manager and MDM (Mosyle/Jamf), Deep knowledge of ISTE Standards, Experience implementing security frameworks (NIST/ISO 27001), Advanced Google Workspace administration

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong match due to demonstrated experience in architecting and building complex, automated systems from the ground up, including self-hosting LLMs. While specific framework experience (e.g., LangChain) is missing, his proven ability to master and implement new technologies ('Fast Learner' bonus applied) and his ideal career trajectory towards AI systems strongly mitigate this gap. **✅ Strengths:** - Deep experience building autonomous systems from scratch - Hands-on experience self-hosting and optimizing LLMs - Strong systems architecture mindset with a business ROI focus **❌ Missing Required:** LangChain, ADK, FastMCP

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a STRONG_MATCH. While lacking direct experience with specific chatbot platforms and formal conversational design, their deep, self-taught expertise in building complex automated systems from scratch, especially self-hosted LLM clusters, is exceptional. This demonstrates possession of all the core underlying technical and product skills required for an 'intelligent chatbot' project. **✅ Strengths:** - Deep AI/LLM infrastructure knowledge (self-hosted clusters) - Proven ability to build complex, automated production systems (trading bots) - Strong product and strategic mindset with a proven fast-learner track record **❌ Missing Required:** Experiência com plataformas de bot, Conhecimento em desenho de fluxos conversacionais e UX conversacional

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is automatically disqualified as they do not meet the mandatory language requirement of fluent Chinese. Additionally, there is a critical career path mismatch; the candidate has over 10 years of experience in backend systems architecture and AI infrastructure, but zero experience in the required customer-facing pre-sales or product management domains. **⚠️ Critical Gaps:** - Missing mandatory language requirement (Chinese) - Customer-facing role (Pre-sales/Product Management) vs. Backend/Infrastructure experience **✅ Strengths:** - Strong technical background in systems architecture and automation - Relevant STEM degree (Mechatronics Engineering) - Fluent in Portuguese and English **❌ Missing Required:** Fluent in Chinese, Minimum 5 years of experience in pre-sales or product management

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect and AI Engineer but lacks the fundamental experience required for an ITSM/Technical Support role. While possessing deep technical knowledge in infrastructure, automation, and scripting, the resume shows no demonstrated experience with user-facing support, essential tools like Endpoint Central, or administrative experience with Google Workspace and Slack. The candidate's career trajectory is moving towards specialized systems engineering, not the internal IT support focus of this role. **⚠️ Critical Gaps:** - The role requires 2+ years in user-facing technical support, but the candidate's experience is in systems architecture and backend engineering, a fundamentally different domain. **✅ Strengths:** - Advanced scripting and automation skills (Python/Shell) - Deep understanding of systems architecture from the ground up - Proven fast learner with a strong problem-solving track record **❌ Missing Required:** Endpoint Central (ManageEngine) experience, Google Workspace & Slack administration, Minimum 2 years in a technical support role, Active CNH B driver's license not mentioned

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is disqualified due to the hard filter of location mismatch (role is on-site in Curitiba, candidate is in Sao Paulo). Additionally, there is a fundamental and critical skills gap. The role requires a senior SAP ABAP developer, whereas the candidate's expertise lies in Python, AI infrastructure, and custom systems architecture with no demonstrated experience in the SAP ecosystem. **⚠️ Critical Gaps:** - Role requires on-site work in Curitiba, but the candidate is based in Sao Paulo. - Candidate's entire technical stack (Python, AI Infrastructure, Shell Scripting) is in a completely different domain from the required SAP ABAP programming language and S/4HANA environment. **✅ Strengths:** - Proven fast learner with a track record of self-teaching complex technologies. - Background in relevant business domains (Supply Chain, Finance) provides valuable context. - Deep experience in architecting and automating complex, production-grade systems from the ground up. **❌ Missing Required:** ABAP development experience (ECC or S/4HANA), RICEF object development, ABAP debugging, ABAP Orientado a Objetos, ABAP development tools (SE80, Eclipse/ADT), DDIC (ABAP Data Dictionary), Enhancement techniques (User-Exits, BADIs), ALV report development, SmartForms or Adobe Forms, ABAP performance tuning

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect with proven experience in distributed systems, high-scale environments, and fintech, aligning well with the role's seniority. However, there is a critical gap: no demonstrated experience with Clojure or a functional programming paradigm, which is a core requirement for this Staff-level position. **⚠️ Critical Gaps:** - The role is explicitly for a Clojure expert, and the candidate's experience is in different language ecosystems (inferred Python, etc.) with no evidence of a functional programming background. **✅ Strengths:** - Exceptional experience designing and building complex, high-scale distributed systems (self-hosted LLM clusters, trading bots). - Strong, transferable domain experience from Fintech. - Proven fast learner with a clear career trajectory towards deep technical leadership. **❌ Missing Required:** Clojure, Deep functional programming domain knowledge

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly capable Systems Architect with a strong track record in backend automation and AI infrastructure. However, there is a critical domain gap, as they possess no demonstrated experience in Unity, C#, or front-end game development, which are the core requirements for this role. **⚠️ Critical Gaps:** - Unity Game Development - C# Programming - Front-end Gameplay Experience **✅ Strengths:** - Proven Fast Learner & Self-starter - Strong Systems Architect Mindset - Experience Owning Complex Technical Projects End-to-End **❌ Missing Required:** 3+ years of experience as a Unity Game Developer, Very strong skills in Unity, Write clean reusable c# code

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate is an exceptionally strong fit, demonstrating a clear career trajectory towards AI and systems engineering. They have hands-on experience architecting and deploying complex, automated production systems and self-hosting AI models, which strongly aligns with the core responsibilities of an AI/ML Engineer. **✅ Strengths:** - Hands-on experience deploying production-grade automated systems - Direct experience with self-hosted AI (LLM) infrastructure - Proven fast learner with a strong career trajectory towards AI

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] The candidate demonstrates exceptional, self-taught expertise in core AI/LLM infrastructure and a proven ability to deliver business value (KPIs). While lacking specific experience in image/video ML and the Google Vertex platform, their deep knowledge of self-hosted LLMs and rapid learning ability make them a compelling fit for an ML Engineer role. **✅ Strengths:** - Deep LLM infrastructure knowledge (self-hosted) - Proven track record of delivering KPI wins (profitable bots) - Demonstrated fast learner with strong career trajectory towards AI **❌ Missing Required:** Familiarity with image/video processing ML systems, Experience working with Classifier problems

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate is a strong systems architect with a proven track record of building complex, automated systems from the ground up. His deep experience in Python and infrastructure-as-code (Terraform, Docker) is a major asset. However, he has critical gaps in his experience with the specific modern data stack tools required, namely Snowflake, dbt, and a formal orchestrator like Dagster or Airflow, which lowers his score despite his strong foundational skills and fast-learner profile. **✅ Strengths:** - Proven systems architecture and end-to-end project ownership - Strong, recently applied Python and Infrastructure (Docker/Terraform) skills - Demonstrated fast learner with a career trajectory towards complex technical roles **❌ Missing Required:** Cloud data platforms (Snowflake and BigQuery), Data pipeline orchestration tools (Airflow, Dagster, or similar), Data transformation tools such as dbt or Spark

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] Candidate is automatically disqualified due to a geographic mismatch; the role is specified for US locations and the candidate is based in Brazil. While possessing strong systems architecture and infrastructure skills, there are also critical gaps in the required full-stack technologies (React, TypeScript, Node.js). **⚠️ Critical Gaps:** - Geographic Location - Frontend Development (React) - Core Backend Language (TypeScript/Node.js) **✅ Strengths:** - Systems Architecture - Infrastructure as Code (Terraform) - Automation & Integration **❌ Missing Required:** 8+ years professional software engineering in a modern web stack, TypeScript, Node.js, React, Google Cloud Platform (GCP)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato demonstra excepcional capacidade em arquitetura de sistemas, automação com Python e infraestrutura, alinhando-se com vários requisitos de alto nível. No entanto, existe uma lacuna crítica e intransponível: a ausência total de experiência em Java e Spring Boot, que são tecnologias centrais e não negociáveis para esta vaga de manutenção de sistemas. **⚠️ Critical Gaps:** - Java (versões 11, 17 e 21) - Spring Boot **✅ Strengths:** - Arquitetura de Sistemas e Automação (Python) - Capacidade comprovada de aprendizado rápido e auto-gestão - Experiência com CI/CD, Docker e conceitos de nuvem **❌ Missing Required:** Java (versões 11, 17 e 21), Spring Boot, Conhecimento em bancos de dados (SQL)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] O candidato é um forte arquiteto de sistemas e desenvolvedor Python com uma comprovada capacidade de aprender rapidamente domínios complexos. No entanto, ele não possui experiência direta com as tecnologias centrais do stack de dados da AWS (Glue, Redshift), processamento de big data (PySpark) e visualização de BI (Power BI), que são críticas para esta função específica. **⚠️ Critical Gaps:** - AWS Data Services (Glue, Redshift) - PySpark **✅ Strengths:** - Python Development - Systems Architecture & Automation - Proven Fast Learner **❌ Missing Required:** AWS S3, AWS Glue, AWS Redshift, PySpark, Power BI

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect with excellent foundational skills in Python, data pipelines, and automation. However, there is a critical gap regarding the core MarTech stack (Segment, Braze), which is central to this role. While they possess transferable skills, the lack of direct experience in the required marketing platforms makes it a poor fit. **⚠️ Critical Gaps:** - Marketing Automation Platforms (Braze) - Customer Data Platform (Segment) **✅ Strengths:** - Deep experience in designing and building complex automated systems from scratch. - Strong, demonstrated expertise in Python for automation and data manipulation. - Proven fast learner with a track record of self-teaching and applying new, complex technologies. **❌ Missing Required:** Segment CDP, Braze, Reverse ETL, Customer Data Schema Design

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect and automation engineer with impressive inferred skills, but there is a critical gap in core performance engineering experience. The resume shows no evidence of using required tools like JMeter, Gatling, or APM suites, which are central to the role. **⚠️ Critical Gaps:** - Performance testing/engineering experience - Monitoring tools (Dynatrace, AppDynamics, Splunk) - Expertise in Gatling and JMeter **✅ Strengths:** - Strong automation and Python scripting skills - Proven ability to architect and build complex systems from scratch - Experience with cloud (AWS) and containerization (Docker) **❌ Missing Required:** Kubernetes, Azure cloud experience, Experience testing microservice architecture, Specific experience with performance tuning relational databases, Cloud testing tools (BlazeMeter, OctoPerf), Jenkins integration for performance scripts

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong match due to demonstrated hands-on experience in architecting and deploying complex automated systems, including self-hosted AI models. The career trajectory shows a clear and successful progression from systems analysis into AI infrastructure, aligning perfectly with the role's responsibilities. **✅ Strengths:** - Hands-on experience deploying AI (LLM) systems - Proven fast learner with a strong career trajectory toward AI - Deep experience in systems automation and integration

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] Candidate is a strong Systems Architect with proven Python, automation, and infrastructure skills. He has relevant experience building scalable systems and learns new domains quickly. The primary weakness is a lack of direct experience with the core required Big Data technologies (Hadoop, Spark), though his infrastructure background is adjacent. **✅ Strengths:** - Extensive Python & Automation Experience - Proven Fast Learner in Complex Technical Domains - Systems Architecture & Production Deployment **❌ Missing Required:** Hadoop, Spark, MapReduce, Java (strongly preferred)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong systems architect with proven leadership and a highly relevant background in logistics and automation. However, there is a critical gap in the required core technology stack (JavaScript/TypeScript/Node.js), as the candidate's experience is entirely in Python. While a fast learner, this mismatch makes them a poor immediate fit for a role demanding deep expertise in the Node.js ecosystem. **⚠️ Critical Gaps:** - The role requires deep, proven experience in the JavaScript/TypeScript/Node.js ecosystem, whereas the candidate's entire backend experience is in Python. **✅ Strengths:** - Systems Architecture & building systems from scratch - Leadership & operational ownership - Logistics & Supply Chain domain expertise **❌ Missing Required:** Node.js, TypeScript, Advanced AWS experience (Lambda, ECS, SQS, etc.)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit. He is a Systems Architect and AI specialist, while the role is a traditional Project Planner for the Oil & Gas industry. There is a critical gap in domain knowledge and required software skills like Primavera P6 and Microsoft Project. **⚠️ Critical Gaps:** - Candidate's experience is in Systems Architecture and AI/Automation, which is a completely different domain from Oil & Gas Project Planning. - The role requires specific project scheduling expertise and software (Primavera P6), which the candidate does not possess. **✅ Strengths:** - Strong technical background in systems automation - Proven fast learner with a history of self-teaching complex domains - Experience in supply chain analytics and procurement **❌ Missing Required:** 5-7 years of project planning experience in oil and gas, Primavera P6, Microsoft Project

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate possesses strong inferred project execution skills and a highly analytical background, but this role represents a significant step backward in complexity and career trajectory. The position is administrative/coordination-focused, while the candidate is a senior technical architect moving towards specialized AI infrastructure. **⚠️ Critical Gaps:** - Role is administrative/coordination-focused, while the candidate's experience and trajectory are deeply technical and architectural. **✅ Strengths:** - Exceptional analytical and problem-solving skills demonstrated through complex system architecture. - Proven ability to independently deliver large-scale, automated projects from concept to production. - Background in finance is relevant to the company's domain (FinTech). **❌ Missing Required:** Knowledge of project management standards, processes, procedures and guidelines (e.g., PMBOK), Ability to utilize project management software (e.g., MS Project)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technologist with proven fast-learning capabilities and relevant skills in automation (Shell Scripting, CI/CD). However, there is a critical domain gap; the role requires deep experience in the Microsoft Endpoint Management suite (SCCM/Intune), whereas the candidate's expertise lies in Linux-based Cloud and AI infrastructure. **⚠️ Critical Gaps:** - Microsoft Endpoint Management (SCCM/Intune) vs. Candidate's Linux/Cloud/AI background **✅ Strengths:** - Expert in automation and scripting (Shell Scripting/CI/CD) - Proven ability to self-teach complex technical domains - Deep Systems Architecture experience **❌ Missing Required:** SCCM/MECM, Intune, Modern Windows deployment (Autopilot, Task Sequences)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is fundamentally mismatched for this role. While possessing a Bachelor's in Engineering, their entire career trajectory, experience, and skillset are in software development, systems architecture, and AI infrastructure. The position requires a professional with a background in industrial construction project management, cost control for physical works (CAPEX/OPEX), and specific tools like MS Project, none of which are present in the candidate's profile. **⚠️ Critical Gaps:** - The candidate's domain is IT/Software/AI Systems Architecture, whereas the job is in Industrial/Civil Engineering and Construction Management. **✅ Strengths:** - Strong technical background in systems architecture and automation - Proven fast learner with a track record of self-teaching complex domains (AI, trading) - Experience managing complex technical projects from concept to production **❌ Missing Required:** CREA ativo, Experiência com planejamento e acompanhamento de obras industriais, Domínio de Gestão de Projetos (PMBOK) em ambiente industrial, Controle de Custos (CAPEX/OPEX) para obras, MS Project

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] Candidate is a poor fit. The role requires a Project Manager with BI dashboarding skills within the pharmaceutical industry. The candidate is a highly technical Systems Architect with deep experience in automation, AI infrastructure, and finance, but lacks the two critical requirements: BI tools and pharma domain knowledge. **⚠️ Critical Gaps:** - Experiência comprovada na criação e manutenção de dashboards de BI (Proven experience in creating and maintaining BI dashboards) - Experiência na indústria farmacêutica (Experience in the pharmaceutical industry) **✅ Strengths:** - Strong engineering and systems-thinking background - Proven ability to self-teach and master complex technical domains - Fluent English **❌ Missing Required:** Gerenciamento ou suporte a projetos (Formal project management/support), Gestão de parcerias estratégicas (Strategic partnership management)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled technical architect with a strong background in AI infrastructure and systems engineering. However, there is a critical domain mismatch; the role requires expertise in IT governance, risk, and compliance (GRC) frameworks like ITIL and Cobit, which are entirely absent from the candidate's hands-on, builder-focused profile. **⚠️ Critical Gaps:** - Candidate's experience is in technical systems architecture and AI engineering, while the job is in theoretical IT process, governance, and compliance. **✅ Strengths:** - Proven fast learner with a track record of self-teaching complex domains. - Strong career trajectory demonstrating intentional growth into technical fields. - Fluent in English and a native Portuguese speaker, matching job location. **❌ Missing Required:** ITSM, ITIL, Cobit, ITGC audit experience, Framework-based process documentation

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong match due to extensive, hands-on experience in architecting and automating complex systems (e.g., JIT inventory), which directly maps to the job's requirement for process improvement and structuring chaotic environments. His background in quantitative analysis and supply chain provides the advanced analytical and operational mindset required, even without formal 'Continuous Improvement' titles. **✅ Strengths:** - Proven ability to automate complex processes (JIT system) - Advanced analytical and quantitative skills (algorithmic trading) - Strong systems architecture and 'organize the chaos' mindset

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled Systems Architect with deep expertise in building custom automated systems and AI infrastructure from the ground up. However, there is a critical and fundamental gap between his experience and the job's requirements, which focus on administering commercial enterprise backup software (e.g., Veeam, Commvault). His career trajectory is moving towards advanced AI/systems design, not traditional IT operations. **⚠️ Critical Gaps:** - Core competency in enterprise backup and recovery solutions **✅ Strengths:** - Proven Fast Learner and self-starter - Deep infrastructure automation and Python scripting skills - Experience designing and building resilient, production-grade systems **❌ Missing Required:** Experience with dedicated backup software (Veeam, Commvault, etc.), Management of backup media (tapes, cloud), Execution of formal disaster recovery tests

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Pro] The candidate is a strong technologist with an engineering background and proven ability to learn complex systems. However, he lacks direct experience in formal project planning for large-scale industrial projects and is missing proficiency with required software like MS Project, which are central to this role. **✅ Strengths:** - Engineering Degree - Advanced English - Proven Fast Learner & Systems Thinker **❌ Missing Required:** Previous experience in Project Planning (preferably EPCI projects), Advanced knowledge of MS Project, Familiarity with planning tools and processes (schedules, progress curves, WBS)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is a skilled Systems Architect with a strong background in AI, automation, and software, but this profile is a fundamental mismatch for the role. The position requires a Civil/Mechanical/Electrical Engineer with mandatory experience in pharmaceutical industry construction and an active CREA, which are critical gaps in the candidate's profile. The candidate is therefore disqualified based on hard requirements. **⚠️ Critical Gaps:** - Experiência em gestão de obras e projetos na indústria farmacêutica - CREA ativo (licença de engenharia) - Domínio de engenharia (Civil/Mecânica vs. Software/Sistemas) **✅ Strengths:** - Forte background em automação e arquitetura de sistemas - Experiência com metodologias ágeis (Scrum) - Capacidade comprovada de autoaprendizagem em domínios técnicos complexos **❌ Missing Required:** Experiência comprovada em gestão de obras e projetos (em indústria farmacêutica), CREA ativo, Certificados PMP - PMI, Boas Práticas de Fabricação, Metodologia FEL, SAP

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] This is a poor fit due to a fundamental domain mismatch. The candidate is a high-level Systems Architect focused on AI infrastructure and custom automation, while the job is a hands-on, operational IT Support role for traditional enterprise systems (Windows Server, Cisco, VMware, ITIL). The candidate's career trajectory is moving decidedly away from this type of position. **⚠️ Critical Gaps:** - Enterprise Networking (Cisco, Fortinet) - Windows Server Administration - Enterprise Virtualization (VMware, HyperV) - Enterprise Backup Solutions (Veeam, CommVault) - ITIL / ITSM Service Management **✅ Strengths:** - Proven Fast Learner & Self-Taught in Complex Domains - Exceeds English Language Requirement (Fluent vs. Intermediate) - Strong Background in Automation and Systems Design **❌ Missing Required:** Experiência em configuração e manutenção de Switches Cisco e firewalls Fortinet, Conhecimento em sistemas operacionais Windows server 2012 ao 2019, Ambientes de virtualização VMware, HyperV e Cloud (AZURE), Ferramentas de Backup Veem e CommVault, Aplicação de práticas e processos de ITIL

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit, demonstrating deep systems thinking and hands-on experience building and optimizing complex systems from the ground up, including self-hosted LLM clusters. The career trajectory shows a deliberate and successful progression into AI infrastructure, and the proven ability to self-teach complex domains aligns perfectly with a founding team role. **✅ Strengths:** - Hands-on AI infrastructure experience (self-hosted LLM clusters) - Proven systems architect with end-to-end project delivery - Strong career trajectory towards AI/systems roles **❌ Missing Required:** Knowledge of model optimization techniques (RLHF, finetuning)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is an exceptionally strong fit. His entire career has been about bridging business domains like Finance and Supply Chain with technology and systems architecture. He has direct, high-level experience in architecting supply chain automation (JIT system) and a formal education in Supply Chain Analytics from MIT, making him ideal for a 'transformation' role. The lack of a 'Green Belt' certification is minor compared to the demonstrated ability to deliver complex, data-driven systems from the ground up. **✅ Strengths:** - Deep Supply Chain & Technology Integration - Proven experience in process automation and transformation (JIT System) - Multidisciplinary background (Finance, Supply Chain, IT) ideal for a facilitator role **❌ Missing Required:** Green Belt

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a strong technologist in software, AI, and systems architecture, but has a critical and disqualifying gap in the required domain. The role mandates project management experience in pharmaceutical construction and clean room expansions, of which the candidate has none. His background is in digital/software systems, not physical/industrial engineering projects. **⚠️ Critical Gaps:** - The candidate's experience is in software/IT systems architecture, while the job requires managing physical construction and engineering projects in the pharmaceutical industry. This is a fundamental domain mismatch. **✅ Strengths:** - Systems Architecture & Automation - Supply Chain & Logistics (from past roles) - Strong technical skills in Python and Cloud/Infrastructure **❌ Missing Required:** Experiência comprovada em gestão de obras e projetos (em indústria farmacêutica), CREA ativo, Certificados PMP - PMI

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a very strong match, demonstrating deep expertise across multiple required domains like algorithmic optimization, systems thinking, and hardware-aware AI through practical projects (self-hosted LLMs, automated trading bots). His career trajectory shows a deliberate and successful progression towards complex AI systems architecture. The only significant gap is the lack of explicit experience with specific deep learning frameworks like PyTorch or JAX, though this is mitigated by his proven fast-learner status. **✅ Strengths:** - Holistic systems thinking (from business logic to hardware) - Proven ability to self-teach and deliver complex technical projects from scratch (AI clusters, JIT systems) - Strong practical experience in algorithmic optimization and automation in Python **❌ Missing Required:** Deep learning frameworks (PyTorch, JAX, TensorFlow)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly capable systems architect with a proven track record of designing and automating complex business processes, particularly in logistics and finance. However, there is a critical and disqualifying gap concerning the core requirements of this role, which is centered on formal IT governance frameworks (ITIL/COBIT) and specific process modeling tools. **⚠️ Critical Gaps:** - IT Governance Frameworks (ITIL/COBIT) **✅ Strengths:** - Systems Architecture - Process Automation (in business domains) - Rapid Learning & Self-Teaching **❌ Missing Required:** ITIL, COBIT, Bizagi / Visio, PDCA

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Pro] Candidate possesses exceptional, self-taught technical depth in AI infrastructure, having built and managed LLM clusters from scratch. This hands-on experience is a powerful asset for an AI Lab. The main weakness is the lack of demonstrated experience in formal facilitation or training, which is a stated responsibility of this 'Facilitador' role. **✅ Strengths:** - Deep, practical experience with Generative AI (self-hosted LLMs), exceeding job requirements. - Proven 'Fast Learner' with a history of building complex, automated systems in different domains. - Strong 'Technical Bridge' profile with experience translating business needs into functional systems. **❌ Missing Required:** Habilidade para facilitar grupos, conduzir treinamentos e promover engajamento

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] Candidate is automatically disqualified due to a geographic mismatch (Brazil-based for a required in-office role in Gurgaon, India). Beyond the location, there is a critical technology gap: the role requires deep experience in the distributed Big Data ecosystem (PySpark, Hadoop), whereas the candidate's strong skills are in a different paradigm of self-hosted, non-distributed systems. **⚠️ Critical Gaps:** - Role is based in Gurgaon, India, while candidate is in Brazil. - Lacks required experience with distributed Big Data stack (Pyspark, Hadoop). **✅ Strengths:** - Expert-level Python for complex systems - Strong data architecture and system design skills - Proven ability to self-teach and manage production AI infrastructure **❌ Missing Required:** Good experience in Pyspark, 8+ years of experience in software engineering (has ~7), Any other experience with Big Data technologies / tools

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is disqualified based on a hard filter; the role requires a current Mechanical Engineering student ('cursando'), and the candidate graduated in 2014. Additionally, there is a critical domain mismatch between the candidate's deep experience in AI/Systems Architecture and the job's focus on mechanical integrity, databooks, and NR13. **⚠️ Critical Gaps:** - Candidate is not a current student, which is a mandatory requirement ('cursando Engenharia Mecânica'). - Candidate's career is in AI/Software/Systems Architecture, which is a completely different domain from the job's Mechanical Engineering inspection focus. **✅ Strengths:** - Strong foundational engineering degree (Mechatronics) - Proven ability to self-teach complex technical domains (AI, Algorithmic Trading) - Extensive experience in systems design and automation **❌ Missing Required:** Experiências com databook e isométricos, Conhecimento em inspeções de integridade, NR13 e ensaios não destrutivos

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit for this role. His entire career progression and recent experience are in high-level software architecture, AI infrastructure, and algorithmic trading. The job requires a hands-on industrial machine programmer, a completely different skill set and domain. **⚠️ Critical Gaps:** - Software/AI Architecture vs. Industrial/CNC Machining **✅ Strengths:** - Fast learner with proven self-teaching ability - Native Portuguese speaker based in Brazil - Foundational degree in Mechatronics Engineering (though dated) **❌ Missing Required:** Experiência com programação de centros de usinagem

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] While the candidate has foundational experience in finance and procurement from over 5 years ago, their career has since pivoted decisively into highly technical domains like Systems Architecture and AI Infrastructure. This trajectory represents a significant divergence from the mid-level financial analysis duties of this role, indicating a critical mismatch in career alignment and required day-to-day tooling (Excel, Power BI). **⚠️ Critical Gaps:** - Career Trajectory Mismatch: Candidate's recent experience (AI/Systems Architecture) is in a completely different, more senior, and more technical domain than the requested corporate finance role (FP&A). **✅ Strengths:** - Strong analytical and quantitative background - Proven fast learner with diverse technical skills - Early career experience in procurement and financial analysis **❌ Missing Required:** Experiência em área de FP&A e controle de gastos, Domínio de Excel e ferramentas de reporte (Power BI e similares)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a highly skilled technologist in AI, systems architecture, and finance, while the job requires specific administrative experience in the dental insurance domain. There is a fundamental mismatch in career path and required skills, making this a poor fit despite the candidate's impressive technical background and ability to learn. **⚠️ Critical Gaps:** - The candidate's background is in technology (AI, Systems Architecture, E-commerce Automation), while the role is in healthcare administration (Dental Insurance Claims). This is a non-transferable domain gap. **✅ Strengths:** - Proven fast learner in complex domains - Extensive experience in automation and systems design - Fluent in English **❌ Missing Required:** Experience with dental insurance claims and insurance A/R follow-up, Knowledge of dental insurance processes and payer requirements

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit. While they meet the language and location requirements, their deep technical expertise in AI infrastructure, systems architecture, and automation has no overlap with this user-facing, community-focused operational role. The career trajectory also indicates a move away from this type of position. **⚠️ Critical Gaps:** - Experience Mismatch: Candidate's background is in deep technical infrastructure (AI, backend systems), while the role requires user-facing community operations and support. **✅ Strengths:** - Fluent in Portuguese and English - Brazilian native - Strong technical background (though not relevant to this role) **❌ Missing Required:** Relevant experience in user operations for social or short-form video applications.

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] Candidate is disqualified due to a hard filter mismatch: the role is on-site in Curitiba, while the candidate is based in São Paulo. Furthermore, there is a critical gap as the candidate lacks the mandatory 'Lean Six Sigma Black Belt' certification, which is central to this operational efficiency role. While possessing strong technical skills in Python and automation, the profile is more aligned with a Systems Architect than a Process Improvement Specialist. **⚠️ Critical Gaps:** - Geographic restriction not met (Job is on-site in Curitiba, candidate is in São Paulo) - Missing mandatory certification: Lean Six Sigma Black Belt **✅ Strengths:** - Deep, demonstrated expertise in Python for automation and API integration. - Proven ability to architect and build complex, automated systems from the ground up (e.g., JIT inventory system). - Strong career trajectory showing progression from business domains (Finance, Supply Chain) to technical architecture. **❌ Missing Required:** Certificação Lean Six Sigma Black Belt, Vivência prática em frameworks ágeis (Scrum, Kanban ou similares), Experiência em modelagem e documentação de processos (Bizagi, ARIS, Visio ou similares)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Pro] Candidate is a strong match, demonstrating deep, practical experience in architecting and deploying complex systems, including self-hosted AI models. His career trajectory shows a clear and intentional progression towards AI and systems engineering, and his background in automated logistics provides a solid foundation for putting ML into production. He exceeds the language requirement and shows strong evidence of being a fast, autonomous learner. **✅ Strengths:** - Proven ability to build and deploy complex, automated systems from scratch - Direct experience with LLMs and AI infrastructure - Strong career trajectory towards the AI/ML domain

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Pro] The candidate is automatically disqualified due to a hard filter: the role requires Australia-based applicants, and the candidate is based in Brazil. Furthermore, the candidate is vastly overqualified for this entry-level position, possessing advanced skills in AI and systems architecture, whereas the job requires no prior experience. **⚠️ Critical Gaps:** - Geographic location requirement not met. **✅ Strengths:** - Candidate is heavily overqualified for this role. - Possesses extensive technical and leadership experience. - Proven track record of rapid learning and complex problem-solving. **❌ Missing Required:** Australia-based applicant

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Pro] The candidate is a poor fit for this role. While they possess strong transferable domain experience in logistics and supply chain, they lack every single required technical skill (PL/SQL, Java, React/Angular). The candidate's career trajectory is strongly oriented towards modern AI Infrastructure and Systems Architecture (Python, Go, Docker), which is a completely different domain from the requested PL/SQL-centric full-stack profile. **⚠️ Critical Gaps:** - Frontend Development (React/Angular) - Java Development - PL/SQL Database Development **✅ Strengths:** - Supply Chain & Logistics Domain Expertise - Proven Fast Learner & Self-Taught Engineer - Systems Architecture & Automation Mindset **❌ Missing Required:** Experiência no desenvolvimento e manutenção de procedures, functions, triggers e packages, jobs, schedulers, utilizando PL/SQL, Conhecimento dos principais fundamentos de Java, principalmente orientação a objetos, Conhecimento em React / Angular, Conhecimento em otimização de consultas