[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong system architecture and backend engineering experience, particularly in automation, infrastructure, and complex system design using Python, Docker, and Terraform. While lacking direct experience with Node.js, TypeScript, and NESTJS, their fast-learner profile and impressive career trajectory suggest a high capacity to adapt to the required technology stack. **✅ Strengths:** - Strong general systems architecture and engineering experience (production systems, automation, AI infrastructure) - Proficiency in key infrastructure tools (Docker, Terraform) - Proven fast learner with a strong technical career trajectory **❌ Missing Required:** Node.js, TypeScript, NESTJS

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, AI infrastructure, and building automated data pipelines with Python and SQL. While excelling in core data processing and infrastructure, there are notable gaps in specific data platform technologies like Spark, DBT, and explicit experience with Data Lake/Warehouse solutions, as well as formal data governance practices. Their fast-learner profile and relevant career trajectory indicate a high potential to acquire these missing skills. **✅ Strengths:** - Strong core Python and SQL proficiency with practical application in data automation and system building. - Extensive experience in designing, building, and maintaining robust data processing pipelines and infrastructure. - Demonstrated fast-learner ability and relevant career progression towards technical and data-intensive roles. **❌ Missing Required:** Proficiency in working with Data Lake House, Familiarity with data governance principles and practices, Knowledge of Spark, Knowledge of DBT, Manage and optimize data warehousing solutions, Develop and maintain data lake solutions, Establish and maintain data governance frameworks

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates exceptional technical project management, systems architecture, and AI infrastructure expertise. However, the 'Creative Project Manager' role specifically requires a strong background in brand strategy, creative workflows, and multimedia project management, which are critically absent from the candidate's profile. Despite transferable skills in general project management and financial oversight, the fundamental domain mismatch makes this an unsuitable match. **⚠️ Critical Gaps:** - Minimum 2 years of experience in creative project management - Demonstrated experience managing brand, creative, or multimedia projects **✅ Strengths:** - Proven strong general project management and operational leadership - Exceptional ability to learn and apply new complex technical skills ('Fast Learner' bonus) - Solid background in financial analysis, resource optimization, and systems building **❌ Missing Required:** Experience in creative project management domain, Experience with brand/creative/multimedia project leadership, Specific knowledge in brand strategy and creative development, Proficiency in creative workflow and quality control within a marketing context, Familiarity with higher education or creative agency environments

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general infrastructure, automation, and AI skills with a significant 'Fast Learner' bonus. However, there is a critical and pervasive lack of experience in the specific Microsoft Windows server infrastructure domain, which is central to this 'Analista de Infraestrutura Pleno' role, resulting in numerous missing required hard skills. **⚠️ Critical Gaps:** - Windows Server Infrastructure Management **✅ Strengths:** - Advanced proficiency in Linux/Cloud/AI Infrastructure - Proven 'Fast Learner' with strong self-teaching ability - Strong experience in automation, CI/CD, and system architecture **❌ Missing Required:** Vivência em migração de sistemas operacionais Windows obsoletos para versões mais recentes, Experiência suporte em IIS, Conhecimento em WSUS, Diagnóstico e resolução de problemas relacionados a Sistemas Operacionais Windows, Experiência em Active Directory, Conhecimento Domain Controller, Conhecimento em PowerShell, Noções de MS Exchange e Office 365

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate exceeds the required experience in project management, holds a relevant engineering degree, and demonstrates advanced skills in systems architecture, automation, and resource planning. All strictly required hard skills and education are present, with additional strengths in supply chain analytics and technical leadership. Minor gaps exist in formal PMBOK/PMB methodologies and specific enterprise project management tools, but these are not blocking given the candidate's proven ability to build and manage complex systems. **✅ Strengths:** - Project management experience - Systems architecture and automation - Supply chain analytics

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong profile for the Senior Implementor role, demonstrating deep experience in system architecture, automated operations, and translating business needs into technical solutions. Their extensive background in building and deploying complex, self-sustaining systems, particularly in inventory and process automation, aligns directly with the core requirements. The 'Fast Learner' bonus and career trajectory further enhance their suitability, with the only minor gap being explicit experience within the 'service segment', though their operational process knowledge is highly transferable. **✅ Strengths:** - System Architecture and Implementation (Automated JIT, Production Systems) - Process Vision and Operational Transformation (Connecting business objectives to technical infra) - Deep Expertise in Inventory & Supply Chain Systems **❌ Missing Required:** CNH válida e disponibilidade para deslocamentos (not explicitly mentioned, but assumed to be manageable given role type)

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em gestão de projetos, integração de sistemas e liderança transversal, além de habilidades analíticas e domínio de ferramentas essenciais. Demonstrou capacidade de estruturar, acompanhar e entregar projetos complexos, com forte perfil organizacional e analítico. Pequenas lacunas existem em metodologias ágeis e dashboards, mas são facilmente superáveis pelo perfil de aprendizado rápido e experiência em ambientes de crescimento. **✅ Strengths:** - Gestão de projetos complexos - Perfil analítico e orientado a resultados - Experiência transversal e liderança sem hierarquia direta

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's extensive experience is in Systems Architecture, AI Infrastructure, and software development, which is fundamentally misaligned with the requirements for a QA Analyst role. While strong in automation and technical problem-solving, there is a complete lack of explicit QA experience and core testing methodologies. **⚠️ Critical Gaps:** - Dedicated QA Analyst domain expertise - 5+ years explicit QA experience **✅ Strengths:** - Strong technical foundation in systems architecture and automation - Proven fast learner with ability to self-teach complex domains - Proficiency in Python and SQL with experience in CI/CD **❌ Missing Required:** Functional testing, Regression testing, Exploratory testing, Experience testing web and mobile applications, Developing, executing, and maintaining test plans, Identifying, registering, and tracking errors/improvements in backlog, Defining and tracking quality metrics, Analyzing and addressing production incidents (from a QA perspective), Participating in agile ceremonies (from a QA perspective), Supporting criteria definition for user stories

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate, a highly experienced AI Infrastructure Strategist, possesses strong general aptitudes, is a fast learner, and is proficient in basic office tools and English. However, there is a critical functional gap as they lack direct administrative and virtual assistant experience, which is the core requirement of this role, leading to a poor fit despite transferable soft skills. **⚠️ Critical Gaps:** - Core Administrative/Virtual Assistant Domain Experience **✅ Strengths:** - Fluent English (C2 Certified) - Proficiency in Basic Office Productivity & Communication Tools - Strong General Aptitude for Organization, Learning, and Technology **❌ Missing Required:** Virtual Assistant/Administrative Support Role Experience, Calendar Management & Scheduling, Candidate Screening & Applicant Information Management

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating deep technical acumen in cloud infrastructure (AWS, Docker, Terraform) and extensive experience in designing and deploying complex, automated systems, aligning perfectly with the Solutions Architect role. Their 'Technical Bridge' profile, leadership in engineering roles, and freelance consulting history highlight strong communication, problem-solving, and customer-enabling capabilities at both technical and executive levels. The positive career trajectory towards AI infrastructure, combined with a proven fast-learner track record and fluency in required languages, make them a highly valuable candidate. **✅ Strengths:** - Deep technical acumen in cloud infrastructure and systems architecture - Proven ability to design, lead, and deploy complex, automated solutions with a customer-centric approach - Strong communication skills, bridging technical and business stakeholders, with demonstrated problem-solving abilities

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong background in AI infrastructure, production system development, and self-hosted LLM operations, directly relevant to a Generative AI Engineer role. Their rapid learning ability and experience building solutions from the ground up indicate high adaptability, compensating for specific missing cloud platform and agent framework experience. The career trajectory also shows clear progression into AI. **✅ Strengths:** - Proven ability to build production-grade AI/ML solutions and infrastructure. - Strong experience with Python, Deep Learning (PyTorch), and NLP (LLMs). - Exceptional fast-learner with a clear career progression towards AI. **❌ Missing Required:** Agent frameworks (Google ADK, LangGraph, CrewAI, LangChain), GCP Vertex AI, Vertex AI Vector Search, Gemini (Cloud AI service), Cloud Run, Cloud SQL, Azure AI, AWS Bedrock, TensorFlow, Flask, FastAPI

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly experienced Solutions Architect and AI Infrastructure Strategist, proficient in advanced technical engineering, automation, and AI systems. In stark contrast, the job requires an operational support role focused on administrative tasks, SAC, and basic digital tools within an affiliate team. This represents a fundamental mismatch in professional domain, skill application, and career trajectory, leading to a poor fit despite the candidate's general soft skills. **⚠️ Critical Gaps:** - Domain expertise in operational support and administrative tasks for an affiliate team. **✅ Strengths:** - General organizational skills (demonstrated in complex projects) - Proactive and collaborative profile (demonstrated by self-starting and leadership) - Capacity to handle multiple demands (demonstrated by diverse roles and project scope) **❌ Missing Required:** Direct experience in operational routines for affiliate teams., Demonstrated experience and focus on SAC (Customer Service)., Experience in the analysis and validation of new affiliates., Focus on administrative and operational support demands.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, automation, and general infrastructure design, with significant experience in Python and Linux. While there's an active effort to gain AWS expertise, the explicit 4+ years of AWS experience and specific knowledge of web accelerators/load balancers/CDNs are not fully demonstrated. The career trajectory and 'fast learner' evidence are significant strengths. **✅ Strengths:** - Strong Systems Architecture and Automation expertise - Proven fast learner and adaptable to new technologies - Extensive experience with Linux, Python, Docker, Terraform, CI/CD, and Security principles **❌ Missing Required:** Explicit demonstration of 4+ years of AWS experience., Experience with web accelerators, load balancers, reverse proxies, and CDNs., Explicit experience with disaster recovery procedures.

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong project management, organizational, and leadership skills within highly technical and autonomous environments. However, there's a significant critical gap in their domain expertise, which is heavily geared towards deep tech, AI infrastructure, and systems architecture, rather than the creative/marketing digital production context required by this role. While general project management is a strength, the lack of specific experience in agency settings, digital campaigns, CRM, and creative multidisciplinary teams results in a weak overall match. **⚠️ Critical Gaps:** - Lack of direct domain experience in Creative/Marketing Digital Production (vs. deep tech/AI infrastructure). **✅ Strengths:** - Proven strong project management, organizational, and execution skills in complex technical environments. - Demonstrated autonomy, sense of ownership, and ability to thrive in high-demand settings through self-started ventures. - Exceptional fast-learner with a track record of acquiring and applying complex technical skills. **❌ Missing Required:** Experiência em agência, produtora digital ou estruturas similares, Specific hands-on experience with digital campaigns, CRM platforms, and performance marketing tools.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong expertise in cloud infrastructure, automation, Python, Docker, Terraform, and CI/CD pipelines, with direct experience architecting complex systems and integrating business logic. However, there are notable gaps in Azure-specific services (AKS, Blob, Functions), Kubernetes at scale, Kafka, Databricks, and 3D model/point cloud processing, which are critical for the role. The candidate's fast learning ability and systems integration background suggest high adaptability, but some domain-specific skills would require ramp-up. **⚠️ Critical Gaps:** - Kafka - Databricks - Azure AKS - Kubernetes (at scale) - Computer vision/3D model processing **✅ Strengths:** - Python automation and scripting - Infrastructure-as-code (Terraform, Docker) - CI/CD pipeline and systems integration **❌ Missing Required:** Azure AKS, Kafka, Databricks, Kubernetes (at scale)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Solid match on systems architecture, automation and infrastructure with clear evidence of fast learning and cross-disciplinary delivery; however the resume lacks direct industrial plant, oil & gas/petrochemical and offshore project execution experience that SANDECH commonly delivers. **⚠️ Critical Gaps:** - Offshore project execution / field engineering - Process engineering for oil & gas / chemical / petrochemical operations - PLC/SCADA & industrial control systems **✅ Strengths:** - Proven systems architect with end-to-end automation and JIT production systems - Strong infra/devops skillset (Docker, Terraform, Linux, CI/CD) and hands-on with GPU clusters - Applied Python expertise for automation and quantitative systems

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong operations, analytics, and leadership background with clear program ownership experience, but lacks direct social media operations, community management, and enterprise social care exposure that are central to this role. **⚠️ Critical Gaps:** - Direct social media operations and social care program ownership - Community management and digital customer support experience - Hands-on, large-scale use of major social platforms for support (Instagram, Facebook, TikTok, X, YouTube) - Leading and QA-ing a global team of social-first agents in a support environment **✅ Strengths:** - Proven ownership of complex, high-impact operations and systems with strong automation focus - Deep analytical and quantitative background with experience in risk management and forecasting - Ability to bridge technical and business domains, aligning infrastructure and processes with ROI and operational resilience **❌ Missing Required:** 3+ years experience in social media operations, community management, social care, or digital customer support, Demonstrated experience as a client-facing operational lead specifically for social or support programs, Proven experience managing large-scale, enterprise-level social care or community programs, Experience leading and scaling global, distributed social/support teams across multiple time zones, Hands-on experience running operations on major social platforms (Instagram, Facebook, TikTok, X, YouTube) and private messaging channels, Strong background in operational delivery for support or social care, including QA, SLAs, escalation management, and risk mitigation, Experience working closely with Customer Success, Product, Account Managers, and Operations teams in a SaaS or support context

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] Candidate demonstrates exceptional practical experience in Machine Learning and Deep Learning, particularly with Python, LLM deployment, and algorithmic trading. Strong background in system architecture, data handling, and automation. However, the candidate lacks experience with specific required statistical tools (R, SPSS, SAS), which are significant gaps, though their fast-learning ability and relevant career trajectory mitigate this. **✅ Strengths:** - Extensive practical experience in Machine Learning and Deep Learning with Python. - Strong background in system architecture, automation, and building production data-driven systems. - Demonstrated 'Fast Learner' ability with a clear career trajectory towards AI/ML. **❌ Missing Required:** R, SPSS, SAS

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infrastructure, automation and inventory lifecycle experience (Python, SQL, ERP integrations, Excel, Docker, Linux) and proven fast-learning/self-starting background; however the role requires hands-on ITAM/HAM on specific platforms (ServiceNow or Flexera) and UEM/discovery tooling which are not present on the resume. **⚠️ Critical Gaps:** - ServiceNow ITAM/HAM (platform hands-on experience) - Flexera One - Practical ITAM/HAM domain experience managing hardware lifecycle on enterprise ITAM platforms **✅ Strengths:** - Automation & scripting expertise (Python, Shell) enabling rapid process automation - Deep inventory/operational domain knowledge (JIT systems, ERP integrations) - Infrastructure architecture and operational ownership (Linux, Docker, local clusters, CI/CD) **❌ Missing Required:** ServiceNow ITSM/ITAM/HAM (explicit experience), Flexera One, Minimum 2 years of practical ITAM/HAM experience in managed-services/multi-client environments

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong hands-on engineering, automation, and leadership background aligns with software development and client-facing aspects, but the role requires deep, explicit Agile/Scrum project management experience and Microsoft DevOps tooling that are not evidenced in the resume. Your fast-learning profile and history of building complex systems from scratch partially offset the lack of formal PM frameworks and large-budget governance, yet key enterprise PM tools and metrics remain gaps. Overall, this is a promising but non-traditional fit for a senior project manager role in a consulting context. **⚠️ Critical Gaps:** - Microsoft Azure DevOps hands-on project management (sprints, backlogs, user stories, epics, Agile metrics) - Minimum 8 years of explicit IT Project Management experience in Agile/Scrum environments - Proven management of $1M+ software project budgets in an enterprise setting **✅ Strengths:** - Proven ability to design and deliver complex, automated software systems end-to-end - Strong hands-on development and infrastructure skills that enable credible technical oversight - Deep analytics and domain experience in supply chain and finance that support data-driven decision-making **❌ Missing Required:** Hands-on Microsoft Azure DevOps project management (boards, sprints, backlogs, burndown charts), Explicit IT Project Manager roles totaling 8+ years in Agile/Scrum software development, Demonstrated management of project budgets over $1M, Formal SDLC project ownership from requirements to deployment within enterprise environments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong fit on backend, data-intensive Python systems, SQL, cloud/infrastructure and ownership; some gaps in specific stack (TypeScript/Node, GitHub Actions) and explicit distributed systems/NoSQL experience, but these are learnable given demonstrated ability to build complex automated systems end-to-end. **✅ Strengths:** - Proven ownership and end-to-end delivery of complex, automated backend systems using Python and SQL - Strong infrastructure and DevOps mindset with Docker, Terraform, Linux, AWS basics, and CI/CD pipelines - AI and data-intensive background (self-hosted LLMs, quantitative trading bots, analytics) aligned with an AI-first product company **❌ Missing Required:** Explicit NoSQL database experience, Explicit distributed systems design and operations, Hands-on GitHub Actions experience for CI/CD

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate possesses strong general project management, leadership, and technical problem-solving skills, significantly boosted by a 'Fast Learner' trait and interest in AI. However, there is a critical and fundamental gap in direct experience with 'paid media campaigns' and digital marketing tactics, which are central to this role. While many skills are transferable, the core domain expertise is missing. **⚠️ Critical Gaps:** - Minimum of 2 years of project managing paid media campaigns experience - Fundamental domain knowledge in digital advertising and media strategy **✅ Strengths:** - Extensive project management and leadership experience in complex technical domains - Proven ability to learn and implement new technologies rapidly (Fast Learner bonus) - Strong analytical, automation, and financial management acumen **❌ Missing Required:** Advanced Asana administration (campaign-specific automation, dashboards, workflows)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, backend development, and automation, evidenced by their diverse project experience and 'fast learner' capabilities. They demonstrate proficiency in several required skills such as Git, SQL, Postgres, and English, with unit testing and API/microservice development inferable from their work. However, the absence of proficiency in Golang, a minimum qualification, and lack of specific OWASP Security knowledge are significant drawbacks for this role. **✅ Strengths:** - Strong systems architecture and automation experience across various domains - Proven 'fast learner' with a track record of rapidly acquiring new technologies - Extensive experience with Python, SQL, Git, and building production-grade systems **❌ Missing Required:** Proficiency using Golang, Security on OWASP

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating a decade of experience directly aligned with the required project leadership, process architecture, and results-oriented competencies. Their background in systems architecture, automation, and data-driven decision-making, combined with a strong fast-learner profile, positions them perfectly to tackle complex strategic projects with significant business impact. **✅ Strengths:** - Exceptional project leadership and end-to-end execution of complex, high-impact systems (e.g., automated JIT inventory, LLM deployments, algorithmic trading bots). - Profound expertise in structuring, standardizing, and scaling processes through automation, leading to significant operational efficiency and quality improvements. - Demonstrated analytical acumen applied to diverse data and business scenarios, consistently driving measurable results and direct business value (e.g., ROI, reduced volatility).

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience in designing and deploying data-driven systems, including automated inventory and AI infrastructure. Their proficiency in Python, SQL, AWS, Docker, and data security aligns closely with the job's core requirements. The proven 'fast learner' ability and clear career progression further strengthen their candidacy, effectively mitigating minor gaps in specific API types or cloud providers. **✅ Strengths:** - Proven ability to design, build, and deploy complex, data-intensive automated systems. - Deep technical expertise in Python, SQL, foundational cloud (AWS), and containerization (Docker). - Strong practical experience and understanding of data privacy, security (SSO, RBAC), and access control.

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate does not meet the explicit demographic requirements for this affirmative action role, which is a hard filter for disqualification. The job description is exclusively for black, indigenous, disabled, and trans individuals, none of which apply to the candidate's stated demographics. **⚠️ Critical Gaps:** - Demographic requirement not met (affirmative action role for specific groups)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in system architecture, automation, and building production-grade infrastructure, with direct experience in Docker, Terraform, CI/CD, Linux, and security. However, the explicit lack of Kubernetes/OpenShift experience, which is central to the role title, and missing specific monitoring tools like Grafana/Prometheus represent significant gaps. The candidate's 'fast learner' profile and relevant career trajectory are strong positives, indicating potential to quickly acquire specialized skills. **⚠️ Critical Gaps:** - Kubernetes/OpenShift (core technology for the role title) - Monitoring and Observability stacks (Grafana/Prometheus) **✅ Strengths:** - Strong foundation in system architecture, automation, and building production infrastructure. - Demonstrated hands-on experience with key platform tools like Docker, Terraform, CI/CD, Linux, and security. - Proven ability as a fast learner and clear career progression towards advanced technical roles. **❌ Missing Required:** Github Actions, Argo CD, Azure, GCP, Crossplane

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] O candidato demonstra forte experiência em engenharia de sistemas, automação, infraestrutura e dados, com domínio em Python, SQL, Docker, CI/CD e arquitetura de pipelines. No entanto, faltam explicitamente Spark, Databricks, Azure e orquestradores de dados como Airflow, que são requisitos centrais da vaga. A senioridade, capacidade de aprendizado rápido e experiência em automação e integração de sistemas são grandes diferenciais, mas a ausência de experiência comprovada nas plataformas de dados solicitadas reduz o match. **⚠️ Critical Gaps:** - Spark - Databricks - Azure **✅ Strengths:** - Automação e integração de sistemas complexos - Experiência em Python e SQL para dados - Capacidade de construir pipelines e infraestrutura de dados de ponta a ponta **❌ Missing Required:** Domínio em Spark, Databricks e Azure, Conhecimento avançado em Spark/Pyspark

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in solution architecture, system integration, and complex technical problem-solving, aligning well with the Solution Engineer role. Their proven adaptability and fast learning capability compensate for some missing direct experience. However, a lack of hands-on CRM and specific front-end technology experience are notable gaps. **✅ Strengths:** - Solution Architecture & System Integration Expertise - Strong Technical Foundation & Adaptability (Fast Learner) - Customer-Focused & Complex Problem-Solving Mindset **❌ Missing Required:** CRM platforms experience, HTML, CSS

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates exceptional experience in systems architecture, data infrastructure, and building scalable production systems. Their career trajectory and 'fast learner' attributes align well with the role's technical demands. However, the job description explicitly lists fluency in Spanish as a minimum qualification, which the candidate does not possess, resulting in automatic disqualification. **⚠️ Critical Gaps:** - Spanish language fluency (Hard Filter) **✅ Strengths:** - Strong track record of architecting and shipping complex production data systems at scale (JIT inventory, LLM clusters, trading bots). - Extensive practical experience with Python, SQL, APIs, and automation, crucial for data pipelines. - Demonstrated intentional career progression towards technical/AI/data infrastructure roles and a proven 'fast learner' capability. **❌ Missing Required:** Spanish language fluency, dbt, BigQuery, Looker, Snowflake, Observability, Explicit monitoring of data health metrics and remediation leadership, Explicit architecting of data lakes/warehouses, Data mesh patterns

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Você tem um alinhamento muito forte com a parte técnica (bancos de dados, APIs, arquitetura, automação) e com o papel de ‘ponte’ entre negócio e tecnologia, mas faltam evidências explícitas de metodologias ágeis e ferramentas de gestão de backlog típicas desse tipo de vaga. **✅ Strengths:** - Atuação consistente como elo entre negócio e tecnologia, traduzindo objetivos de negócio em soluções técnicas - Sólido domínio técnico em bancos de dados, APIs, arquitetura de sistemas e automação - Experiência prática em construir sistemas complexos e autossustentáveis com foco em operações e ROI **❌ Missing Required:** Metodologias ágeis formais (Scrum, Kanban) mencionadas de forma explícita, Ferramentas de gestão de backlog/projetos (Azure DevOps, Jira, Trello, MS Project ou similares) mencionadas de forma explícita

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong foundation in Python, SQL, Docker, and general data pipeline concepts, heavily evidenced by their work on automated e-commerce and algorithmic trading systems, as well as self-hosted AI infrastructure. Their career trajectory and 'fast learner' profile are highly aligned with the role's dynamic nature. However, there are notable gaps in specific data engineering tools like Spark, Kafka (streaming), DBT, and deep, hands-on experience with AWS big data services and modern data lakehouse technologies. **✅ Strengths:** - Robust experience in Python and SQL for data-intensive systems. - Demonstrated ability to build production-grade, automated systems and AI infrastructure from scratch. - Strong 'fast learner' profile and career trajectory highly aligned with AI/Data Engineering. **❌ Missing Required:** Spark, Kafka (streaming), DBT, Deep AWS Data Services administration (S3, Lambda, Glue, Athena, Fargate/ECS, Step Functions)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical leadership background with proven AWS/cloud experience and enterprise project delivery. Candidate demonstrates solid foundation in infrastructure, automation, and team management. However, lacks formal project management certifications and specific Scrum/Agile credentials that are preferred for this Squad Leader role. **✅ Strengths:** - 10+ years technical leadership experience - Proven AWS/cloud infrastructure expertise - Strong business-to-technology translation skills **❌ Missing Required:** Project Management Certification (PMP/Scrum), Proven experience managing 4+ person technical teams

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] While candidate shows strong systems architecture and automation experience, this is a specialized C++ financial systems role requiring domain-specific expertise in payment processing, cryptography, and high-frequency trading systems that the candidate lacks. **⚠️ Critical Gaps:** - C++ programming language - Financial payment systems domain knowledge - Cryptographic security implementations - Real-time transaction processing **✅ Strengths:** - Strong systems thinking and architecture - Proven ability to build production systems from scratch - Experience with API integration and automation **❌ Missing Required:** C++ development, Linux systems programming, Cryptography implementation, HSM key injection, POS integration, mTLS authentication, ISO 8583 messaging, Payment acquiring flows, Pix payment systems, Low-latency application profiling

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong expertise in Python, SQL, data pipelines, and end-to-end system design, directly matching the core requirements for the Data Specialist role. Their experience with automation, analytics, and infrastructure, as well as a proven ability to learn and implement new technologies, aligns well with YipitData's expectations. The only minor gap is explicit experience with PySpark or large-scale distributed data processing, but the candidate's fast-learner profile and deep technical background suggest this can be quickly acquired. **✅ Strengths:** - Python & SQL expertise - Automation and data pipeline design - Ownership of high-impact projects **❌ Missing Required:** PySpark

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems/infra architect with 10+ years, proven production delivery (Python, Docker, Terraform, CI/CD, Git, Linux) and hands-on AI/LLM infra; main shortfalls are explicit evidence of automated unit/integration testing and formal traceability/testing processes, but fast-learning founder background makes these gaps bridgeable. **✅ Strengths:** - System architecture & infrastructure (metal-up, local AI clusters) - Practical DevOps skills: Docker, Terraform, Linux, CI/CD, Git - Python development and automation with production delivery experience **❌ Missing Required:** Automated unit testing (no explicit evidence of using testing frameworks), Automated integration testing (no explicit evidence of integration test practices), Formal task/audit record practices required for auditability (not explicitly shown)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong technical leadership, systems-architecture and hands-on engineering background with clear evidence of building production systems and fast learning (self-hosting LLMs). Missing explicit 4+ years in a titled Software Project Manager role and limited explicit evidence of Agile-as-PM, billable-forecasting, and staff-augmentation experience, but these gaps are bridgeable given the candidate's technical breadth and founder/Head-of-Engineering experience. **⚠️ Critical Gaps:** - 4+ years as a Software Project Manager (explicit)—may block if strictly enforced **✅ Strengths:** - Deep technical breadth across infra, ML/LLMs and production engineering - Proven track record delivering end-to-end automated systems and leading engineering efforts - Fast learner and hands-on operator (self-hosted AI clusters, automation, trading systems) **❌ Missing Required:** 4+ years as a Software Project Manager (cannot be fully inferred from founder/consulting roles), Clear, documented Agile-as-PM experience (Scrum/Kanban practiced as PM), Demonstrated experience with billable utilization / financial forecasting for projects

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive experience of over 10 years, including roles like 'Head of Engineering and Operations' and 'Solution Architect', fundamentally mismatches the job requirement for a 'Junior Infrastructure Analyst' with '1 or 2 years of experience'. This severe overqualification acts as a hard filter for the specified experience level.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a strong technical architect and engineer with deep expertise in AI infrastructure and system building, but lacks direct experience as a Senior IT Project Manager for enterprise applications, especially within the SAP ecosystem. Critical gaps include functional SAP knowledge and conversational Spanish, making this a poor fit despite a strong learning ability and transferable domain experience. **⚠️ Critical Gaps:** - Functional SAP knowledge and experience leading SAP projects - Sólida experiência como Gerente de Projetos em TI/Aplicações (specifically enterprise-level SAP project governance) **✅ Strengths:** - Strong technical leadership and architecture skills in modern infrastructure. - Proven ability to build complex systems from concept to production. - Exceptional self-learner with a clear career progression into advanced technical domains. **❌ Missing Required:** Conhecimento funcional em SAP (MM e/ou SD), Sólida experiência como Gerente de Projetos em TI/Aplicações, Espanhol intermediário para conversação

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive Python expertise in complex, automated system development and a clear trajectory towards technical architecture and AI. While lacking direct Streamlit experience, their 'Fast Learner' trait and robust engineering background indicate high adaptability to new frameworks. They also possess valuable cloud and versioning knowledge. **✅ Strengths:** - Strong Python expertise with demonstrated application in complex, automated systems (JIT, trading bots, LLMs). - Proven track record of autonomy, problem-solving, and rapid learning, particularly in new technical domains (AI, cloud). - Solid systems architecture and infrastructure knowledge, including cloud basics and CI/CD, aligning with scalable and integrated solutions. **❌ Missing Required:** Streamlit (specific framework)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Experiência forte em infraestrutura, automação e liderança técnica, mas sem evidência direta de atuação em telecomunicações/networking corporativo, que é o foco central da vaga. **⚠️ Critical Gaps:** - Experiência direta com telecomunicações e networking corporativo como domínio principal - Gestão técnica de ambiente de telecom de grande porte (banco de varejo, alta criticidade) **✅ Strengths:** - Sólida experiência em arquitetura de sistemas e infraestrutura (Docker, Terraform, Linux, CI/CD) - Histórico de liderança em engenharia e operações com foco em automação e eficiência - Forte perfil analítico em supply chain e finanças, útil para gestão de KPIs e decisões estratégicas **❌ Missing Required:** Atuação comprovada em projetos de telecomunicações, Responsabilidade direta sobre ambientes de networking corporativo, Experiência em garantir disponibilidade, segurança e desempenho de soluções de comunicação, Coordenação de equipes focadas especificamente em telecom/networking

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong profile for an Automation Process Analyst, excelling in Python-based automation, system architecture, and AI infrastructure. Their experience building and deploying automated production systems, integrating APIs, and implementing CI/CD pipelines directly aligns with the role's core objectives. While specific RPA platform experience (UIPATH/Botcity) is not explicitly mentioned, their proven fast-learner capability and deep foundational skills in automation and AI make these highly transferable and easily acquirable. **✅ Strengths:** - Exceptional Python-based automation and system architecture experience at scale. - Proven expertise in AI infrastructure (LLM optimization, prompt engineering) highly relevant to Generative AI for automation. - Strong career trajectory, 'Fast Learner' bonus, and demonstrated 'Espírito de dono' with hands-on production system delivery. **❌ Missing Required:** UIPATH (knowledge), Botcity (knowledge)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an outstanding profile with deep expertise in Linux, Docker, Terraform, Python automation, and CI/CD principles, proven through direct application in building and operating production-grade systems. While there are identifiable gaps in specific Azure services, Windows Server, PowerShell, and explicit observability tool experience, their strong foundational skills, architectural mindset, and documented fast-learning ability make them an excellent candidate capable of quickly mastering new platforms. **✅ Strengths:** - Extensive hands-on experience in Linux, Docker, Terraform, Python automation, and CI/CD principles, applied to real-world production systems. - Proven ability to design, implement, and operate resilient, ROI-focused systems, including self-hosted AI infrastructure from scratch. - Demonstrated fast-learning capability, continuous self-education, and a clear career trajectory towards advanced technical and infrastructure roles. **❌ Missing Required:** Windows Server administration, Azure Core Services (VMs, VNets, Storage, App Services), PowerShell, Observability tools (Datadog, Grafana, Elastic)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Perfil forte em Python, infraestrutura de IA e automação com experiência real em LLMs e arquitetura de sistemas, mas com lacunas em ferramentas específicas de MLOps, cloud avançado e data platforms exigidas pela vaga. **⚠️ Critical Gaps:** - Ferramentas de orquestração e MLOps em produção (Airflow, Kubeflow, MLflow, DVC) - Profundidade em arquiteturas cloud gerenciadas (AWS, GCP ou Azure em escala) - Arquitetura orientada a microsserviços e plataformas de dados (data lake/data mesh) **✅ Strengths:** - Python para automação, análise de dados e modelagem (incluindo PyTorch) - Arquitetura e operação de infraestrutura de IA local com foco em privacidade - Visão sistêmica de negócios (supply chain, finanças, trading) conectada à engenharia e automação **❌ Missing Required:** TensorFlow, HuggingFace, LangChain, Airflow, Kubeflow, MLflow, DVC, experiência explícita com AWS ou GCP ou Azure em ambiente corporativo, arquiteturas orientadas a microsserviços, data lake, data mesh, práticas avançadas de MLOps para modelos em produção, governança de dados alinhada à LGPD

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong technical match, demonstrating all required skills (Linux, Networking, Git, Python/Shell Scripting, Docker, CI/CD, AWS) with extensive practical application. They possess numerous inferred and adjacent skills highly relevant to DevOps, such as Terraform, APIs, Databases, and Production Operations, along with a significant 'Fast Learner' bonus. The only minor mismatch is being significantly overqualified for a 'Junior' role. **✅ Strengths:** - Extensive practical experience in automation, CI/CD, and infrastructure technologies (Docker, AWS, Linux). - Proven ability to architect, build, and deploy complex, production-grade systems, including AI infrastructure (LLM clusters). - Strong 'Fast Learner' aptitude and a clear career trajectory towards technical/AI infrastructure roles.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong expertise in Python, SQL, and Git/GitHub, coupled with a deep background in AI infrastructure and systems architecture. Their proven ability as a fast learner and clear career progression towards technical and AI roles are significant strengths. However, there are critical gaps in specific Power Platform and RPA tool experience, as well as several explicitly required programming languages (C#, JavaScript, PowerShell) and direct integration with Azure Cognitive Services/OpenAI. **⚠️ Critical Gaps:** - Power Platform (Power Automate, Power Apps, Power Virtual Agents/Copilot Studio) **✅ Strengths:** - Strong Python, SQL, and Git/GitHub expertise with demonstrated application in complex, production-grade systems. - Deep experience in AI infrastructure (self-hosted LLMs, GPU clusters) and comprehensive systems architecture. - Proven fast learner with a relevant career trajectory exhibiting intentional progression towards technical/AI roles. **❌ Missing Required:** RPA (UiPath, Automation Anywhere, Power Automate Desktop), C#, JavaScript, PowerShell, Azure Cognitive Services Integration, OpenAI Integration

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems + local LLM deployment, Python/ML and API integration experience give high baseline fit and fast-learning potential; several explicit, platform-specific requirements (n8n, Dify/ManyChat/Unnichat, JS, RAGs, agent orchestration) are not shown and lower immediate readiness. **⚠️ Critical Gaps:** - n8n (required platform-specific workflow tool) - JavaScript (explicitly required for customizations) - Platforms: Dify / ManyChat / Unnichat (required platform knowledge) **✅ Strengths:** - Hands-on LLM deployment, optimization and local cluster experience - System architecture and automation (end-to-end production systems) - Strong Python/data skills (PyTorch, Pandas) and API integration expertise **❌ Missing Required:** Experience with orchestration of agents (not explicitly demonstrated), Engineering and best practices of prompt engineering (not documented), Structure of data for RAGs (vector DBs / embeddings pipelines not shown), n8n (complex workflow construction), Knowledge of Dify, ManyChat, Unnichat, JavaScript (basic/intermediate), MCPs (explicit integration experience)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents exceptional experience in general automation, systems architecture, and advanced AI infrastructure, demonstrating a strong capacity for self-learning and intentional career progression. They exhibit proficiency in Python, SQL, Docker, and CI/CD. However, the role specifically requires solid experience with Microsoft Power Automate, Power Apps, and Power Platform governance, for which the candidate has no direct experience, constituting critical gaps. While many transferable skills are present, the absence of the core proprietary technology required for a 'Senior Power Automate Developer' makes this a poor fit for the specific role. **⚠️ Critical Gaps:** - Microsoft Power Automate (Cloud and Desktop) - Power Apps - Power Platform Governance and Best Practices **✅ Strengths:** - Exceptional General Automation & Systems Architecture Experience (Python, custom scripts, CI/CD, large-scale systems). - Strong AI Infrastructure & Advanced Data Skills (self-hosted LLMs, algorithmic trading, PyTorch/Pandas). - Proven Fast Learner & Intentional Career Progression (self-taught technologies, MIT MicroMasters, AWS in progress). **❌ Missing Required:** Solid experience in development with Microsoft Power Automate (Cloud and Desktop), Proficiency in creation of instant, scheduled, and automated flows (using Power Automate), Proficiency in connectors and integrations with SharePoint and Teams (using Power Automate), Proficiency in Power Apps, Solid knowledge in Power Platform governance and best practices

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate possesses a strong background in software engineering, AI infrastructure, and systems architecture, which is a fundamentally different domain from the 'Arquitetura e Urbanismo' (Architecture and Urbanism) role outlined in the job description. Critical, non-negotiable requirements such as a specific degree in Architecture and Urbanism and proficiency in AutoCAD are entirely missing, leading to an absolute mismatch. **⚠️ Critical Gaps:** - Formação em Arquitetura e Urbanismo (Degree in Architecture and Urbanism) - Conhecimento em AutoCAD (Knowledge in AutoCAD) **✅ Strengths:** - Strong background in AI Infrastructure and Software Architecture - Proven fast learner with diverse technical skills - Expertise in Python, Docker, and CI/CD pipelines **❌ Missing Required:** Formação em Arquitetura e Urbanismo, Conhecimento em AutoCAD, Disponibilidade de atuação presencial em Cabo de Santo Agostinho

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Candidate has a strong engineering background, advanced documentation/Office skills and clear fast‑learner/project ownership, but lacks the core, role‑critical CAD and building‑services design experience (AutoCAD/Revit, HVAC/electrical/plumbing/PPCI and hospital project workflows) required to execute hospital architectural projects immediately. **⚠️ Critical Gaps:** - AutoCAD - Revit - Building‑services design (electrical, HVAC, plumbing, PPCI) - As‑built drawing and project compatibilization experience **✅ Strengths:** - Proven systems architect and automation leader with end‑to‑end delivery - Fast learner with hands‑on delivery of complex infrastructure (incl. local AI clusters) - Strong documentation and Office skills useful for reports, memos and stakeholder coordination **❌ Missing Required:** AutoCAD (intermediate) not evidenced, Revit (intermediate) not evidenced