[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong technical systems architect with automation, analytics and advanced Excel/PM fundamentals and high learnability, but lacks the core construction modelling/CAD/BIM tools (AutoCAD, Revit) that are central to the role; transferable skills reduce penalty but major domain tools are missing. **⚠️ Critical Gaps:** - AutoCAD - Revit - BIM modeling **✅ Strengths:** - Systems architecture & automation (built production JIT and hosted AI clusters) - Data/analytics and supply-chain domain expertise (likely strong Excel skills) - Fast learner / technical adaptability (self-hosted LLMs, infra, and cross-discipline projects) **❌ Missing Required:** AutoCAD, Revit, Microsoft Project (basic)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong general cloud architecture, automation (Terraform, CI/CD), and leadership skills, with a positive career trajectory and fast-learner evidence. However, the complete lack of direct Oracle Cloud Infrastructure (OCI) experience and certifications, which are central to this senior role, significantly impacts the score, making it a weak match. **✅ Strengths:** - Strong general cloud/infrastructure architecture and design experience - Proficiency in Terraform and CI/CD pipelines - Proven technical leadership and problem-solving skills with a fast-learner profile **❌ Missing Required:** Experiência em arquitetura, design e implementação de soluções de nuvem Oracle (OCI), Experiência prática com ferramentas OCI essenciais, Certificações OCI

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional general systems architecture, AI infrastructure, and automation skills with a strong fast-learner track record. However, the role critically requires deep, hands-on expertise in Arista-specific enterprise wireless technologies (Cognitive Wi-Fi, CloudVision CV-CUE), which are entirely absent from the candidate's profile. This represents a significant domain mismatch, making the candidate a poor fit for this specialized wireless architect role despite their transferable technical and leadership abilities. **⚠️ Critical Gaps:** - Enterprise Wireless Architecture (specifically Arista Cognitive Wi-Fi and CloudVision Cognitive Unified Edge) **✅ Strengths:** - Exceptional 'Fast Learner' with a proven track record of self-teaching and building complex systems in new domains (AI, algorithmic trading). - Strong background in systems architecture, automation, and building production-grade solutions from concept to execution. - Demonstrated leadership and operational experience, including founding and leading an e-commerce business. **❌ Missing Required:** Arista Cognitive Wi-Fi access point platforms (Wi-Fi 6/6E/7), CloudVision Cognitive Unified Edge (CV-CUE) centralized management and cognitive analytics, AI/ML-driven automation, telemetry, and troubleshooting inherent to Arista cognitive networking, Hands-on design, deployment, and operational experience with Arista Wireless, RF design, capacity planning, AP placement, and cognitive tuning mechanisms, Zero Trust and WIPS security configurations integrated with cloud orchestration, Lead and direct wireless deployment efforts, Mentor and guide junior engineers through Arista wireless technologies

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate does not meet a critical hard filter: the job requires current enrollment in an Architecture or Interior Design degree for an internship position, while the candidate holds a Bachelor's degree in Mechatronics Engineering and a MicroMasters, indicating they are not a student in the required field. **⚠️ Critical Gaps:** - Estar cursando graduação em Arquitetura ou Design de Interiores **❌ Missing Required:** Estar cursando graduação em Arquitetura ou Design de Interiores, Conhecimento em Revit (intermediário), Conhecimento básico em AutoCad e Sketchup

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems architecture, automation, and technical leadership, with deep experience in infrastructure, Python, and cloud basics. However, there is no evidence of hands-on Arista Wireless (Cognitive Wi-Fi, CV-CUE) or any direct enterprise wireless architecture/design/deployment experience, which is a strict requirement. The candidate's fast learning and systems integration background are strengths, but the lack of wireless domain expertise and Arista platform experience are critical gaps. **⚠️ Critical Gaps:** - Arista Wireless hands-on experience - Enterprise wireless design and deployment **✅ Strengths:** - Systems architecture and automation - Technical leadership and mentoring - Fast learner with proven ability to master new domains **❌ Missing Required:** Arista Cognitive Wi-Fi, CloudVision Cognitive Unified Edge (CV-CUE), Enterprise wireless architecture/design

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] While the candidate demonstrates strong systems architecture and automation experience, there is a critical gap in ServiceNow platform expertise. The role requires minimum 5 years of ServiceNow architecture experience, but the resume shows no ServiceNow background. However, the candidate's proven ability to design complex automated systems, enterprise-level thinking, and technical architecture skills suggest learning potential. **⚠️ Critical Gaps:** - ServiceNow platform expertise (5+ years required) - ITOM/ITSM/CSM modules - App Engine development **✅ Strengths:** - Systems architecture and automation - Enterprise-level technical thinking - Proven track record building scalable solutions **❌ Missing Required:** ServiceNow architecture experience, App Engine, Flow Designer, REST/SOAP integrations, Event Management, Enterprise banking/telecom experience

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-4.1] O candidato possui sólida experiência em arquitetura de sistemas, automação, infraestrutura e integração de sistemas, mas não apresenta formação em Arquitetura (edificações) nem experiência comprovada em práticas laboratoriais ou ensino presencial/híbrido, que são requisitos estritamente necessários para a vaga. As habilidades técnicas e experiência do candidato são de alto nível, porém em domínios distintos do exigido (tecnologia vs. arquitetura civil/edificações). **⚠️ Critical Gaps:** - Formação em Arquitetura (edificações) - Experiência prática em laboratórios de arquitetura - Experiência em ensino de arquitetura **✅ Strengths:** - Gestão e automação de sistemas complexos - Capacidade de integração entre áreas técnicas e de negócio - Experiência em liderança e treinamento técnico **❌ Missing Required:** Graduação completa em Arquitetura

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a critical domain mismatch. The candidate has strong technical systems/software engineering background (e-commerce automation, AI infrastructure, trading bots, supply chain analytics) but the role requires Architecture & Urbanism degree and experience with civil construction projects, BIM processes, and building systems (structural, electrical, hydraulic, mechanical installations). The candidate's supply chain experience is in procurement/inventory for food service and IT, not construction project management. **⚠️ Critical Gaps:** - Architecture & Urbanism degree - BLOCKING (required qualification) - Zero experience in civil construction or real estate development - No background in building systems engineering (structural, MEP) - No BIM or construction software experience - Domain expertise is entirely in software/systems/supply chain, not physical construction **✅ Strengths:** - Strong analytical and systems thinking background - Proven project management capability in complex technical systems - Supply chain and procurement experience (though in different domain) **❌ Missing Required:** Bachelor's Degree in Architecture & Urbanism, Experience analyzing technical disciplines in real estate projects, Knowledge of multi-use property architecture, Structural and foundation systems expertise, Building electrical installations, Building hydraulic installations, Building mechanical installations

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is automatically disqualified as they do not meet the strict geographic requirement of living in Monterrey, Mexico, or Juarez, Mexico. The candidate is based in Brazil. **⚠️ Critical Gaps:** - Architectural design domain knowledge and experience - Proficiency in required architectural software (REVIT, AutoCAD) **✅ Strengths:** - Strong technical background (Python, AI Infrastructure) - Experience in systems integration and automation - Proven fast learner **❌ Missing Required:** Bachelors degree in Architecture (or equivalent experience in architectural design), Residency in Monterrey, Mexico or Juarez, Mexico

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong general systems architecture, automation, and leadership skills with a proven fast-learning ability. However, there is a critical and non-negotiable gap in specific wireless domain expertise, particularly with Arista technologies like Cognitive Wi-Fi and CloudVision CV-CUE, which are core requirements for this role. The candidate's experience, while impressive in other technical areas, does not align with the specialized wireless focus of the job description. **⚠️ Critical Gaps:** - Deep expertise in Arista Wireless architecture, hardware, and cloud-managed technologies. - Hands-on design, deployment, and operational experience with Arista Cognitive Wi-Fi access point platforms and CloudVision Cognitive Unified Edge (CV-CUE). - Enterprise wireless design and deployment experience, especially with a majority on Arista cognitive wireless solutions. **✅ Strengths:** - Strong general systems architecture, design, and deployment capabilities. - Proven track record in automation, AI infrastructure, and building production-grade systems. - Demonstrated leadership, mentorship, and communication skills as a 'Technical Bridge' and founder. **❌ Missing Required:** Arista Wireless (Cognitive Wi-Fi, CV-CUE), Enterprise wireless design and deployment, RF design, capacity planning, AP placement, WIPS security configurations

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is fundamentally mismatched for this role due to lacking a Bachelor's degree in Architecture and specific required software skills (Auto-CAD, 3D Max). Additionally, the candidate does not fit the 'young, recently graduated architect' profile. **⚠️ Critical Gaps:** - Lack of a Bachelor's degree in Architecture (has Engineering) - Professional experience is entirely outside of Civil Engineering/Architecture domain **✅ Strengths:** - Fluent in English and Portuguese **❌ Missing Required:** Bacharelado em Arquitetura, Auto-CAD, 3D Max, Profile of 'jovem arquiteto(a) recém-formado(a)'

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a strong background in systems architecture, AI infrastructure, and automation, coupled with significant leadership and problem-solving experience. However, there is a fundamental and critical gap in the specialized domain of enterprise wireless architecture, particularly with Arista technologies and other specified wireless vendors, which are explicitly non-negotiable requirements for this role. **⚠️ Critical Gaps:** - Core expertise as a Wireless Domain Architect - Extensive hands-on experience with Arista's next-generation wireless platforms (Cognitive Wi-Fi, CV-CUE) **✅ Strengths:** - Proven Systems Integration and Architecture background with a focus on automation. - Strong leadership, mentorship, and technical communication abilities. - Exceptional fast-learner profile with demonstrable execution on complex, self-taught technical projects (e.g., self-hosted AI clusters, algorithmic trading). **❌ Missing Required:** Arista Wireless – REQUIRED / NON-NEGOTIABLE (hands-on design, deployment, operational experience with Arista Cognitive Wi-Fi, CV-CUE, and related AI/ML automation), HPE Aruba Wireless design and deployment experience, Juniper Wireless familiarity, Cisco enterprise wireless architectures experience, Nile Wireless exposure/experience, Track record of enterprise wireless design and deployment, with at least the majority of experience on Arista cognitive wireless solutions

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Forte alinhamento em Python, infraestrutura de IA, Terraform e liderança técnica, mas ausência quase total do stack obrigatório em Azure e de experiência explícita com visão computacional (OpenCV/YOLO) e pré-processamento de imagem torna o fit técnico para esta vaga de TL de CV/ML bem limitado, apesar do alto potencial de aprendizado. **⚠️ Critical Gaps:** - Ecossistema Azure para ML em produção (Azure Machine Learning, Functions, Service Bus, Blob, Monitor/Application Insights) - Visão computacional com OpenCV avançado - Uso prático de YOLO v8+ em produção - Experiência prática em melhoria de imagem (normalização, iluminação, ruído, cenários noturnos/chuva) em contextos de produção **✅ Strengths:** - Sólida experiência em Python e bibliotecas de dados/ML (Pandas, PyTorch) com sistemas automatizados em produção - Forte base em infraestrutura de IA, automação e IaC (Docker, Terraform, Linux, clusters de IA locais) - Liderança técnica e visão de arquitetura orientada a negócio (chefe de engenharia, design de sistemas autossustentáveis focados em SLA e ROI) **❌ Missing Required:** 6+ anos de experiência com Azure, Azure Machine Learning (obrigatório), Azure Functions (nível intermediário), Azure Service Bus (nível intermediário), Azure Blob Storage (nível intermediário), Azure Monitor / Application Insights (nível intermediário), Visão Computacional aplicada, OpenCV avançado (obrigatório), YOLO v8+ com uso prático (obrigatório v8+), Arquitetura serverless, Arquitetura assíncrona, Experiência explícita de pré-processamento de imagem (normalização, correção de iluminação, redução de ruído, ajustes noturno/chuva) em ML de visão computacional

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and leadership skills with a proven track record as a fast learner. However, there is a critical and non-negotiable gap in specific Arista Wireless expertise and enterprise wireless architecture, which are central to this role. While general infrastructure and automation skills are present, they do not directly translate to the highly specialized wireless domain required, leading to significant deductions. **⚠️ Critical Gaps:** - Arista Wireless expertise (REQUIRED / NON-NEGOTIABLE) - Technical authority for enterprise wireless architecture **✅ Strengths:** - Strong Systems Architecture and Integration skills, particularly in building automated, resilient production systems from the ground up. - Demonstrated leadership, mentoring, and communication abilities as a founder and consultant. - Proven fast learner with a track record of acquiring complex technical skills (AI infrastructure, algorithmic trading) and applying them to real-world problems. **❌ Missing Required:** Arista Cognitive Wi-Fi access point platforms (Wi-Fi 6/6E/7), CloudVision Cognitive Unified Edge (CV-CUE) centralized management and cognitive analytics, AI/ML-driven automation, telemetry, and troubleshooting inherent to Arista cognitive networking, HPE Aruba Wireless design and deployment experience, Juniper Mist wireless platforms familiarity, Cisco enterprise wireless architectures experience, Nile wireless solutions exposure/hands-on experience, RF design, capacity planning, AP placement, cognitive tuning mechanisms, Zero Trust and WIPS security configurations, Flexible data path options and scalable control-plane architectures (inherent to CloudVision’s cognitive approach), Zero-touch provisioning and onboarding of Arista AP platforms via CV-CUE, Integration of AP connectivity with hosted identity management and external NAC solutions

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating deep expertise in AI infrastructure, systemic architectural thinking, and a proven track record of building complex, automated systems. His experience with self-hosted LLM clusters and developing autonomous trading bots directly aligns with the role's emphasis on 'building reasoning' and 'co-creating with AI', rather than just 'running scripts'. The candidate's career trajectory and fast-learner evidence further solidify his fit for a Machine Learning Engineer with a product vision and disruptive mindset. **✅ Strengths:** - Profound expertise in AI infrastructure and Large Language Model (LLM) deployment and optimization. - Demonstrated strong systemic and architectural thinking, evidenced by designing and implementing fully automated, production-level systems. - Exceptional autodidact and fast learner with a clear career trajectory towards advanced technical and AI roles.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Forte em Python, automação e infraestrutura com IaC e liderança técnica, mas faltam quase todos os requisitos específicos de Azure e visão computacional (OpenCV/YOLO) exigidos como obrigatórios, o que torna o fit mais de aprendizado acelerado do que de contribuição imediata. **⚠️ Critical Gaps:** - Azure Machine Learning (produção) - Microsoft Azure como cloud principal em nível arquiteto - OpenCV avançado - YOLO v8+ em produção - Experiência prática em visão computacional aplicada a melhoria de imagem e cenários adversos (noite/chuva) **✅ Strengths:** - Sólida experiência em Python, automação e construção de sistemas de produção de ponta a ponta - Forte base em infraestrutura, containers, Linux e Terraform, com visão de arquitetura e custo/ROI - Liderança técnica comprovada e capacidade de aprender tecnologias novas (LLMs, clusters locais) rapidamente **❌ Missing Required:** Experiencia prática com Azure (nível arquiteto), Azure Machine Learning, Azure Functions (intermediário), Azure Service Bus (intermediário), Azure Blob Storage (intermediário), Azure Monitor / Application Insights (intermediário), Machine Learning em produção especificamente em Azure, Visão Computacional, OpenCV avançado, YOLO v8+ (uso prático), Melhoria de imagem: normalização, correção de iluminação, redução de ruído, cenários noturnos / chuva, Inferência de modelos de visão em produção com SLA de latência, Arquitetura serverless e assíncrona orientada a eventos em Azure

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional systems architecture, automation, API integration, and AI infrastructure expertise with a proven fast-learning capability and a strong career trajectory towards technical roles. However, the core requirement of 'Notion-proficient' for architecting the intranet is a critical gap, as there is no direct experience with this foundational platform, making it a poor fit for the central task of the role despite strong transferable skills. **⚠️ Critical Gaps:** - Notion proficiency (fundamental platform for intranet build-out) **✅ Strengths:** - Advanced Systems Architecture and Automation Expertise - Strong API Integration and Data Analysis Capabilities - Deep Expertise in AI Infrastructure and LLMs **❌ Missing Required:** Notion proficiency

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate possesses exceptional practical experience in supply chain, logistics, and operational aspects, strongly aligning with the COMEX focus of the role. His robust technical background and proven ability to build complex automated systems demonstrate a unique blend of technical and business acumen. This, combined with strong inferred communication and results-driven skills, makes him a highly suitable candidate for a Solutions Consultant position that bridges business and technology. **✅ Strengths:** - Deep operational and analytical expertise in Supply Chain, Logistics, and JIT systems, directly applicable to Foreign Trade. - Strong technical foundation and proven ability to architect and implement complex automated software solutions with significant business impact. - Exceptional learning agility, demonstrated by continuous self-education and successful pivots into advanced technical domains (AI infrastructure, algorithmic trading).

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong technical and analytical skills, an Engineering degree, and demonstrable fast-learning capabilities, satisfying core technical requirements like Excel and technical plan interpretation. However, their extensive experience as a Solutions Architect and AI Infrastructure Strategist positions them significantly above an 'Assistente de Orçamento' role. This profound mismatch in seniority and career trajectory, moving away from their advanced technical path and lacking direct experience in construction/renovation, results in a poor fit for this specific assistant-level position in construction budgeting. **⚠️ Critical Gaps:** - Role seniority mismatch and significant deviation from established technical/AI career trajectory. **✅ Strengths:** - High technical aptitude and fast learning ability - Strong analytical and quantitative background (Engineering, Finance, Supply Chain) - Proven track record in designing and implementing complex automated systems **❌ Missing Required:** Interest in construction and renovations (specific domain knowledge for budgeting)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile with substantial experience in system architecture, CI/CD, and Linux automation, directly matching many core requirements. However, significant gaps in specific configuration management tools (Ansible/Puppet/Chef), NoSQL databases, and particularly the Windows Server ecosystem (VMWare, IIS) lead to notable deductions. The candidate's strong career trajectory and 'fast learner' evidence provide a positive offset. **⚠️ Critical Gaps:** - Windows Servers (VMWare, IIS ecosystem) **✅ Strengths:** - Infrastructure Design & Deployment (Linux, Docker, CI/CD) - Automation & Scripting (Python, Bash, custom pipelines) - System Architecture & Problem Solving (JIT, LLM clusters) **❌ Missing Required:** Ansible/Puppet/Chef (specific config management tools), NoSQL (MongoDB, ElasticSearch, Redis)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates a strong background in systems architecture, automation, Python, and SQL, with a proven ability to build complex production systems and quickly learn new technologies. However, there are significant critical gaps in specific big data technologies, distributed data systems, and Data Lake House concepts, which are central to this Data Architect role's requirements. Additionally, proficiency in Java, data governance practices, and DBT knowledge are missing. **⚠️ Critical Gaps:** - Proficiency in working with Data Lake House - Familiarity with big data technologies and distributed data systems (e.g., Spark, Hudi, StarRocks, Flink, Glue, Athena) **✅ Strengths:** - Deep expertise in systems architecture, automation, and AI infrastructure ('metal-up' architecture, self-hosted LLM clusters). - Strong hands-on Python and SQL skills applied in complex, real-world systems (JIT inventory, algorithmic trading). - Proven ability to learn complex technical domains quickly and deliver production-grade solutions. **❌ Missing Required:** Java proficiency, Familiarity with data governance principles and practices, Knowledge of DBT

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong technical Solutions Architect with extensive experience in system design, automation, and AI infrastructure, clearly demonstrating a progressive career trajectory. They possess crucial technical skills like Python and SQL, and strong soft skills in communication and collaboration. However, the candidate lacks experience with specific enterprise tooling (Atlassian Suite, Jira, Smartsheet) and a critical domain-specific software (Freight Rate and Auditing), which prevents a perfect score. **✅ Strengths:** - Proven Solutions Architect experience with significant leadership and implementation track record. - Strong technical foundation in Python, SQL, SDLC, and emerging technologies like AI infrastructure. - Excellent communication skills (C2 English), business acumen, and a clear, intentional career trajectory. **❌ Missing Required:** Experience delivering Freight Rate and Auditing software technical deliverables, Experience with the Atlassian Suite, Experience with Jira and/or ticket management system, Experience with Smartsheet

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, automation expertise, and Python proficiency, but lacks the core telecommunications networking domain knowledge required for this role. While their infrastructure experience (Docker, cloud basics, Linux) shows technical capability, the position requires specialized knowledge in SDH, PTN, DWDM, MPLS, BGP routing protocols, and optical transmission systems that are not present in their background. This is a significant domain shift from e-commerce/AI infrastructure to telecom network engineering. **⚠️ Critical Gaps:** - Telecommunications network engineering domain - candidate has e-commerce/finance/supply chain background with no telecom experience - Optical transmission systems (DWDM, SDWDM) - completely absent from resume - Carrier-grade routing protocols (BGP, MPLS VPN) - no evidence of networking protocol expertise - Telecom equipment specification and vendor management - no telecom RFP experience **✅ Strengths:** - Strong automation and Python scripting skills transferable to network automation - Proven budget management and financial analysis experience aligns with industrial budget responsibilities - Systems architecture thinking and end-to-end solution design capability **❌ Missing Required:** SDH transmission networks, PTN packet transport, DWDM/SDWDM optical systems, BGP routing (IPv4/VPNv4/IPv6/VPNv6), MPLS L2VPN/L3VPN, Telecommunication network technical knowledge, Power BI (mentioned as required)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong foundational match with proven systems architecture experience and automation expertise. Candidate demonstrates complex infrastructure design skills through e-commerce automation and local AI clusters. However, lacks specific telecom/networking technologies (Fortinet, Cisco) and Windows enterprise stack experience. Fast learner profile with 10+ years experience suggests good adaptation potential. **⚠️ Critical Gaps:** - Fortinet and Cisco networking architecture experience - Windows Server enterprise infrastructure - Active Directory and identity management **✅ Strengths:** - Proven systems architecture and automation expertise - Infrastructure design and implementation experience - Security-conscious with AI privacy and SSO knowledge **❌ Missing Required:** Fortinet, Cisco, Windows Server, VMware/Hyper-V, Active Directory, PowerShell

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong expertise in Systems Architecture, AI Infrastructure, DevOps, and backend development, including distributed systems and security. However, the role is explicitly for a 'React Frontend Architect,' a core domain where the candidate lacks direct experience, leading to a critical skill gap. While many general architectural skills align, the absence of React and dedicated frontend development experience makes this a poor fit for the specific frontend-focused position. **⚠️ Critical Gaps:** - Frontend development / React expertise **✅ Strengths:** - Software Architecture & Systems Design - Backend Infrastructure & DevOps (Docker, Terraform, CI/CD) - Distributed and Scalable Solutions **❌ Missing Required:** Extensive React experience, Developing high-performance client-side JavaScript libraries, Automated unit and integration testing (frontend), NoSQL databases

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems architect with Python/SQL and proven ability to build and operate complex data/ML infrastructure; lacks several core data-platform orchestration and governance skills and is missing required Spanish fluency — ramp-up plausible given background but not immediate plug-and-play for this role. **⚠️ Critical Gaps:** - Spanish (fluent) **✅ Strengths:** - Deep systems & infrastructure architecture experience (metal-up) - Practical Python + SQL engineering for production systems - Fast learner and self-starter with demonstrated delivery of complex, production-grade systems **❌ Missing Required:** Orchestration tooling (Airflow or Dataflow), Data governance principles and practical tooling, Spanish (fluent)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a very strong match, demonstrating deep technical expertise in infrastructure, cloud, and security, combined with significant experience in solution architecture and business-to-technical translation. Their career trajectory and fast-learner profile align perfectly with the role's dynamic and consultative nature. Minor deductions are for specific explicit knowledge areas not directly named, but largely covered by inference. **✅ Strengths:** - Extensive experience in Infrastructure, Cloud, and Security Architecture with demonstrated applications. - Proven ability to translate business requirements into viable technical solutions and manage stakeholders. - Strong evidence of being a fast learner and having a highly relevant career trajectory towards AI/technical roles.

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is a strong architect with a proven track record in system design, automation, and emerging technologies like AI infrastructure. They demonstrate excellent learning agility and a clear career progression towards technical roles. However, there are gaps in explicit experience with certain cloud platforms, messaging technologies, formal architectural modeling tools, and most critically, the geographic requirement for the role. **⚠️ Critical Gaps:** - Geographic Location (São Paulo-SP for hybrid work) **✅ Strengths:** - Strong background in Systems Architecture, DevOps, and Automation with Terraform and CI/CD. - Demonstrated ability to build and deploy complex, production-level systems (JIT inventory, AI clusters, trading bots). - Exceptional learning agility and continuous technical progression, including experience with emerging tech like AI infrastructure. **❌ Missing Required:** Modelagem e Documentação (UML, C4 Model, ArchiMate)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong fit: candidate demonstrates solid Python, PyTorch, Docker, LLM deployment experience and software architecture background which align with core JD requirements. Main shortfalls are explicit experience with agent/orchestration frameworks and formal prompt-engineering/production ML cloud tooling, but fast-learning systems background suggests quick upskilling. **✅ Strengths:** - Hands-on LLM/AI infra experience (local clusters, M3/GPU clusters) and PyTorch - Strong software architecture and systems-integration experience (production pipelines, Clean Architecture) - Proven automation and pipeline delivery (JIT inventory, CI/CD, scripting)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents an exceptionally strong background in solution architecture, client engagement, and strategic business alignment, supported by a clear career progression into technical leadership and AI infrastructure. They are a proven fast learner with significant experience designing scalable, robust systems and interacting with senior stakeholders. However, a critical gap exists in the required hands-on implementation skills using JavaScript, React.js, and Node.js, which are explicitly listed as core responsibilities for this role. **⚠️ Critical Gaps:** - Frontend/Backend JavaScript stack implementation **✅ Strengths:** - Solution Architecture & System Design - Client Engagement & C-Suite Interaction - Business Acumen & Strategic Alignment **❌ Missing Required:** JavaScript, React.js, Node.js

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience as a Solutions Architect with a proven track record in system design, automation, and security. Key strengths include building complex, self-sustaining systems, strong technical skills (Python, SQL, Docker, Terraform, CI/CD), and a clear career progression into AI/infrastructure. Deductions were made for missing specific domain knowledge (Energy market) and explicit experience with Agile tools (JIRA/Confluence). **✅ Strengths:** - Extensive Solutions Architecture & System Integration experience (10+ years) - Strong technical foundation in Infrastructure, Automation, and Security (Docker, Terraform, CI/CD, LGPD, Python, SQL) - Demonstrated Fast Learner with continuous technical progression and complex project delivery **❌ Missing Required:** Conhecimentos do mercado de Energia, Metodologia Agile, ferramentas JIRA e Confluence

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified due to not meeting the mandatory Spanish language requirement. Furthermore, there is a critical mismatch in core technical domain experience, as the candidate's background is primarily in AI infrastructure and general systems architecture, rather than specialized Salesforce Industries (SFI) and Sales Cloud architecture. **⚠️ Critical Gaps:** - Specialized Salesforce platform expertise (SFI, Sales Cloud, Apex, LWC, Flows) - Retail Media/AdTech industry domain experience **✅ Strengths:** - Strong systems architecture and integration background (non-Salesforce) - Proven ability in automation and building production systems from scratch - Demonstrated fast learner with experience in emerging technologies like AI infrastructure **❌ Missing Required:** 8+ years of Salesforce experience, 3+ years as a Technical Architect (Salesforce specific), Strong hands-on expertise in Salesforce Industries (SFI), Deep experience with Sales Cloud architecture and customization, Experience designing solutions for Retail Media, AdTech, or Retail ecosystems, Strong knowledge of Salesforce configuration, Apex, LWC, Flows, and integrations, Experience with REST/SOAP APIs and middleware (MuleSoft preferred) specifically within a Salesforce context, Solid understanding of Salesforce security, sharing, and performance optimization, Fluent Spanish communication skills

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong alignment on Python, infrastructure, automation, and AI/LLM tinkering with solid engineering background, but gaps remain in enterprise cloud-native (Kubernetes, monitoring) and the broader preferred GenAI toolchain used in production customer environments. **⚠️ Critical Gaps:** - Kubernetes and container-orchestrated, cloud-native architectures - Enterprise-grade monitoring and observability stacks (Prometheus, Grafana, ELK) - End-to-end LLM production deployment on major cloud platforms (AWS/Azure/GCP) - Formalized APIs and microservices integration experience (OpenAPI/FastAPI/Flask/Swagger) in enterprise settings **✅ Strengths:** - Python engineering with strong data/analytics and ML-adjacent experience (Pandas, PyTorch, algorithmic trading, LLM experimentation) - Systems and solutions architecture for automation-heavy, ROI-focused platforms (JIT inventory, trading bots, self-hosted AI clusters) - Solid infrastructure foundation (Docker, Terraform, AWS basics, Linux, Git/GitHub) with demonstrated ability to self-learn and adopt new technologies quickly

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Forte aderência em arquitetura de soluções, visão de negócio, integrações e cloud conceitual, com lacunas principalmente no stack específico (.NET/Angular), mensageria e histórico formal em ambientes enterprise/legados. **⚠️ Critical Gaps:** - .NET - Angular - Mensageria (message queues como Kafka, RabbitMQ, Service Bus) - Experiência comprovada orquestrando soluções em ecossistemas enterprise com múltiplos sistemas legados **✅ Strengths:** - Arquitetura de soluções fim a fim, conectando negócio, operações e tecnologia - Experiência prática em automação, integrações e pipelines (Python, APIs, CI/CD, infra de IA) - Visão forte de negócio em supply chain, finanças e e-commerce, apoiando decisões estratégicas **❌ Missing Required:** .NET, Angular, Mensageria (Kafka, RabbitMQ, filas corporativas), Experiência direta orquestrando integrações entre múltiplas aplicações .NET/Angular e sistemas corporativos existentes

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical foundation with systems architecture experience, but lacks direct IT/Telecom service management background. Candidate shows excellent problem-solving skills and business acumen through automated systems delivery. The entrepreneurial experience demonstrates stakeholder management and solution advocacy capabilities. **✅ Strengths:** - Systems Architecture & Design - Business Acumen & ROI Focus - Automation & Technical Innovation **❌ Missing Required:** IT/Telecom industry experience, Service Management concepts and tools, Customer engagement in enterprise context

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong foundational match with systems architecture experience and proven ability to build scalable, automated systems. Candidate demonstrates deep understanding of data pipelines, infrastructure automation, and integration challenges. Missing some specific data architecture tools but shows strong learning capacity and relevant transferable skills from e-commerce automation and financial systems. **✅ Strengths:** - Arquitetura de sistemas end-to-end com foco em automação - Experiência sólida com Python, SQL e infraestrutura cloud - Histórico comprovado de construção de sistemas de produção escaláveis **❌ Missing Required:** Data Warehouses modernos (BigQuery, Snowflake, Redshift), Big Data frameworks (Kafka, Spark, Flink), Plataformas cloud específicas (Azure, GCP)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical foundation with AI/ML experience and systems architecture background. Candidate demonstrates hands-on AI deployment (self-hosted LLMs) and automation expertise. Missing formal pre-sales experience and specific Microsoft Azure/Fabric knowledge, but shows strong learning capability and relevant technical depth. **✅ Strengths:** - AI/ML hands-on experience with LLMs - Python expertise with ML libraries - Systems architecture and automation **❌ Missing Required:** 5+ years pre-sales/solution consulting experience, Microsoft Fabric familiarity, Azure ecosystem knowledge

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] O candidato tem forte background em arquitetura de sistemas, automação e integrações via APIs, mas carece de experiência explícita com plataformas de integração corporativa (ESB/API Gateway) e padrões clássicos de integração (SOAP, mensageria, microsserviços), que são centrais para a vaga. A base técnica, exposição a nuvem, CI/CD e segurança indicam alto potencial de aprendizado rápido e boa capacidade de transição para o papel de Arquiteto de Integração. **⚠️ Critical Gaps:** - Hands-on com plataformas de integração/ESB (MuleSoft, Dell Boomi, Azure Integration Services ou similares) - Desenho de arquiteturas de integração baseadas em mensageria e microsserviços - Experiência prática com integrações SOAP e protocolos legados em ambiente corporativo **✅ Strengths:** - Histórico sólido de projetar e operar sistemas integrados de ponta a ponta com alta automação (Python, scripts, APIs). - Experiência com infraestrutura, Docker, CI/CD e nuvem, dando boa base para integrações escaláveis e ambientes híbridos. - Forte visão de negócio em Supply Chain e Finanças, aliada a segurança (SSO, RBAC) e proficiência em inglês, alinhada ao papel de arquiteto. **❌ Missing Required:** Experiência comprovada e explícita em arquitetura de integração corporativa, Desenvolvimento e publicação de APIs próprias (não apenas consumo) em escala empresarial, Padrões de integração SOAP, Padrões de mensageria (fila, publish/subscribe) com ferramentas de mercado, Arquitetura de microsserviços focada em integração entre sistemas, Ferramentas de integração dedicadas (MuleSoft, Dell Boomi, Azure Integration Services, ESB/API Gateway similares)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents as a highly skilled Solution Architect with strong technical acumen, proven experience (6+ years), and a clear career trajectory towards complex systems. They excel in general architecture, analytical problem-solving, and cloud fundamentals. However, the candidate has significant gaps in the specific domains required by the job, notably regulatory compliance (LGPD, audits, reporting) within the energy sector, and direct experience with CRM/omnichannel, billing, and collection platforms. While the candidate is a fast learner, these are critical functional domain gaps that cannot be easily inferred. **⚠️ Critical Gaps:** - LGPD/Regulatory compliance expertise (especially within energy and billing/collection contexts) **✅ Strengths:** - Extensive Solution Architecture experience (6+ years) with a focus on 'metal-up' and self-sustaining systems. - Proven ability to design and implement complex, automated systems (JIT inventory, AI clusters, trading bots), demonstrating strong analytical and problem-solving skills. - Strong technical foundation in Cloud (AWS in progress, Docker, Terraform), Python, SQL, and general infrastructure, coupled with a 'Fast Learner' aptitude for new technologies. **❌ Missing Required:** Knowledge of Energy market, Knowledge in Agile methodology, tools JIRA and Confluence, Experience with CRM/omnichannel integrations, service platforms, billing/cobrança and regulatory compliance

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates exceptional technical depth in ML/AI infrastructure, systems architecture, and data-driven business transformation, supported by a strong self-learner trajectory. However, the role's emphasis on direct pre-sales, technical account management for very large enterprise clients, and explicit experience with the Databricks/Spark ecosystem represents a significant gap, leading to a weaker overall match for this specific Solutions Architect position. **⚠️ Critical Gaps:** - Direct pre-sales experience and track record with very large (>$1m ARR) global enterprise accounts, especially in a platform sales motion. **✅ Strengths:** - Deep expertise in ML/AI infrastructure and application development. - Strong systems architecture and technical implementation skills with a focus on business impact. - Proven ability in data-driven business transformation and a track record as a fast learner. **❌ Missing Required:** Explicit pre-sales professional experience for a data platform, Demonstrated experience working with very large (>$1m ARR) global accounts (from a client-facing/pre-sales perspective), Direct expertise in Big Data platforms relevant to Databricks (e.g., Apache Spark)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional expertise in systems architecture, backend development (API-first), cloud-native infrastructure, and automation, with direct experience relevant to e-commerce and large-scale systems. While possessing strong architectural foundations and a proven ability to deliver production-grade solutions, a critical gap exists in explicit frontend development experience, particularly with React, which is a stated core requirement for this fullstack role. This makes it a challenging match for a true 'Fullstack Solution Architect' position. **⚠️ Critical Gaps:** - Frontend Development (React) **✅ Strengths:** - Robust Systems Architecture and Integrator experience, with proven ability to build complex, production-grade backend systems (JIT inventory, AI clusters). - Deep expertise in cloud-native technologies (Docker, Terraform, AWS Basics, CI/CD, Linux) and relational databases/advanced SQL. - Intentional career progression towards technical/architectural roles with significant self-teaching and 'Fast Learner' bonus, demonstrating adaptability and drive. **❌ Missing Required:** Modern CMS solutions (headless and traditional), Headless architecture, Specific web frameworks (beyond general API backend), Event-driven design

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infra and backend systems experience (Docker, Terraform, CI/CD pipelines, AWS basics, production automation) and clear fast-learning evidence (self-hosted LLMs, end-to-end production systems). Major gaps are the primary development stack (Node.js/TypeScript/NestJS) plus frontend (React) and Kubernetes which are central to the role, so candidate is promising but needs upskilling on those core items. **⚠️ Critical Gaps:** - Node.js/TypeScript (primary backend language stack) - NestJS (framework explicitly required) - React (frontend requirement) - Kubernetes (orchestration required for production) **✅ Strengths:** - Infrastructure-as-code and automation (Terraform, pipelines, Docker) - Proven end-to-end system design and production deployment (JIT system, API integrations) - Fast learner with hands-on experience in emergent AI infra and complex ops **❌ Missing Required:** Node.js, TypeScript, NestJS, React, Kubernetes

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong background in systems architecture, automation, and supply chain/finance data flows maps well to integration work, but lack of explicit SAP interface experience and advanced Spanish creates meaningful risk for a SAP-centered, bilingual integrations architect role. **⚠️ Critical Gaps:** - Explicit SAP ERP experience (R/3, S/4HANA, or Business One) in integration/interface roles - Advanced professional proficiency in Spanish for stakeholder and vendor communication - Direct experience leading large-scale SAP or multi-ERP interface programs in enterprise environments **✅ Strengths:** - End-to-end systems architecture and automation across multiple business domains (supply chain, trading, operations) - Strong Python, data, and analytics background well-suited for complex interface and data-flow analysis - Proven techno-functional bridge between business stakeholders and technical implementations, aligned with the architect-consultant nature of the role **❌ Missing Required:** Experience working with SAP R/3, SAP S/4HANA, or SAP Business One, Strong hands-on experience integrating SAP with non-SAP systems in production, Advanced professional proficiency in Spanish

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture, Python, infra-as-code and AI/LLM experience suggest quick ramp-up potential, but the role requires deep, hands-on Amazon Connect/Contact-Center and CRM integration expertise that are not present on the resume. **⚠️ Critical Gaps:** - Amazon Connect (deep, production experience) - CRM integrations with Salesforce or ServiceNow - Amazon Q for Connect / Contact Lens (real-time contact-center AI) **✅ Strengths:** - Systems architecture & building end-to-end automated production systems - Python development and LLM/AI deployment experience - Infrastructure skills: Terraform, Docker, Linux, CI/CD and Git workflows **❌ Missing Required:** Proven Amazon Connect expertise (voice/chat flows, Contact Lens), Advanced proficiency with Amazon Q for Connect, Hands-on CRM integrations (Salesforce, ServiceNow), Practical AWS Lambda serverless implementations tied to contact center

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong technical background in AI/ML solution design, infrastructure, and has a proven track record of hands-on delivery. However, there's a significant gap in explicit pre-sales/RFP leadership experience and slightly less overall IT industry experience than required, which impacts the final score. The candidate's strong learning ability and relevant career progression are significant assets. **✅ Strengths:** - Strong AI/ML Solution Design & Implementation (LLMs, traditional ML, Python) - Proven ability to architect and build complex systems (JIT, AI clusters) - Exceptional self-taught capabilities and relevant career trajectory towards AI **❌ Missing Required:** 5+ Years of experience in pre-sales, solution consulting, or technical account manager role with proven track record of leading technical responses to RFPs and RFIs, 8+ Years of experience working in the IT industry

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong hands-on architecture, automation, and analytics background with clear ability to build from scratch, but limited explicit experience in formal data practice building, data governance/quality frameworks, and modern cloud data platforms commonly expected for this role. **⚠️ Critical Gaps:** - Proven experience building or scaling a data practice or data consulting capability - Previous experience working for a mid-size or global consulting organization focused on data - Explicit leadership of data governance and data quality initiatives - Deep hands-on experience with modern cloud data platforms used as shared enterprise data foundations **✅ Strengths:** - Hands-on systems and solution architecture experience building complex, automated data-driven systems from scratch - Strong Python, SQL, and quantitative background relevant to data engineering and analytics foundations - Proven ability to operate independently in ambiguous environments and design self-sustaining, ROI-focused platforms **❌ Missing Required:** Previous experience working for a consulting organization (mid-size or global) focused on data or digital transformation, Proven experience building or scaling a data practice, service offering, or consulting capability, 10+ years explicitly leading or delivering data engineering, data architecture, analytics, or data governance initiatives, Documented design and implementation of data governance frameworks, Documented design and implementation of data quality and reliability frameworks

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a very strong profile with over 10 years of experience in solutions architecture, DevOps, and Python automation. Their proven ability to architect and deploy complex, self-sustaining systems, combined with a fast-learning track record and clear career progression towards technical and AI roles, makes them an excellent fit. While lacking explicit deep experience with specific cloud-native data platforms like Snowflake and Azure, the candidate's strong foundational cloud and infrastructure skills suggest a high potential for rapid upskilling. **✅ Strengths:** - Cloud Infrastructure & DevOps (Terraform, CI/CD, Docker, Linux, Git) - Solutions Architecture & System Design (JIT, AI clusters, production systems) - Automation & Python Proficiency (scripting, bots, operational efficiency) **❌ Missing Required:** Deep knowledge of Snowflake, Deep knowledge of Redshift, Deep knowledge of Azure Data Warehouse, Deep knowledge of Azure ecosystem (S3, ADLS, Kinesis, Data Factory, DBT, Kafka), Deep knowledge of AWS ecosystem (S3, Kinesis, Data Factory, DBT, Kafka) - beyond 'basics', Expertise with Fivetran, Expertise with Spark, Expertise with Matillion, Expertise with AWS Data Migration Services, Expertise with Azure Data Factory

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate, despite demonstrating strong general systems architecture and technical leadership capabilities, entirely lacks the specialized SAP SuccessFactors and SAP BTP experience explicitly required for this role. This fundamental domain mismatch leads to multiple critical skill gaps, making the candidate unsuitable for the position. **⚠️ Critical Gaps:** - SAP SuccessFactors Architect experience - SAP HCM - SAP SuccessFactors - ABAP HCM - SAP BTP / SCPI - Experience with BTP extensions (CAP, Node.js and/or Java) **✅ Strengths:** - Strong Systemic Vision & Technical Leadership - Proven track record in building complex, production-grade automated systems - Fast Learner with continuous education and self-taught expertise in new domains

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong systems architecture and automation skills with Docker, CI/CD, and a notable fast-learner trajectory. However, there's a significant gap in proven, broad Cloud Architect experience, specifically strong knowledge of Azure and enterprise-level AWS, and hands-on Kubernetes expertise as required by the role. **⚠️ Critical Gaps:** - Experiência comprovada como Arquiteto Cloud e gerenciamento de soluções Cloud **✅ Strengths:** - Strong systems architecture and automation capabilities (Python, JIT systems). - Proficiency with Docker and experience in CI/CD pipelines. - Proven fast learner and self-starter with clear technical career progression. **❌ Missing Required:** Azure (Forte Conhecimento), AWS (Forte Conhecimento - além do básico), Kubernetes (incluindo AKS Microsoft)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong Solution Architect with deep experience in AI, Cloud, Data, and Security, complemented by proven system design and automation. They demonstrate strong leadership and communication skills for complex technical environments. However, there are notable gaps in mainframe platform knowledge and specific enterprise architecture frameworks like TOGAF/IAF. **⚠️ Critical Gaps:** - Mainframe platform **✅ Strengths:** - AI Infrastructure & Cloud Architecture Expertise: Demonstrated through self-hosted LLM clusters, AWS basics, Docker, Terraform, and a clear career trajectory towards AI. - End-to-End System Design & Automation: Proven by architecting JIT inventory systems, production-grade systems, and custom automation pipelines using Python and APIs. - Strong Leadership & Communication in Complex Technical Environments: Evidenced by 'Head of Engineering' role, strategic vision, and C2 English proficiency, making them an effective 'Technical Bridge'. **❌ Missing Required:** Mainframe platform, TOGAF, IAF