Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] The candidate has the core GenAI/RAG skills, but the role is heavily centered on the Databricks ecosystem and MLOps/LLMOps governance. While he can learn it, the ATS might prioritize Databricks-certified candidates. **Strengths:** GenAI/RAG implementation, API/BI exposure, Observability implementation

[ANALYSIS_REPORT] **TOP** [3-Flash] Perfect technical alignment. The candidate has built exactly what is described: AI agents, RAG pipelines, and automated workflows. His recent Go-based orchestrator demonstrates the 'Model Context Protocol' and 'agentic systems' proficiency perfectly. **Strengths:** Directly built AI agents/orchestrators, RAG pipeline expertise, Constraint-based scaling

[ANALYSIS_REPORT] **LOW** [3-Flash] This is a Microsoft ecosystem role (M365 Copilot, Azure OpenAI, Graph API). The candidate is an open-source/Go/Linux specialist. While the RAG/Prompting concepts transfer, the lack of Microsoft-specific tooling (Copilot Studio) is a barrier. **Strengths:** RAG/Prompt Engineering expertise **Critical Gaps:** Microsoft ecosystem specific tools

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Score reflects strong, demonstrable RAG/vector and LLM-production experience plus Python and CI/CD familiarity, but lacks required deep AWS/serverless skills (Bedrock, Lambda, CloudFormation) and FastAPI-specific experience. ATS gives credit for production LLM pipelines, prompt engineering, and data architecture, but penalizes missing cloud-native AWS competencies required by the JD. To improve: add concrete AWS serverless projects, Bedrock or equivalent cloud-inference work, and a FastAPI example in the resume/portfolio. **Strengths:** Production RAG + vector search experience, Built a production LLM-powered job intelligence platform, Systems architecture and low-cost production deployment (Go/SQL/Linux) **Missing Required:** Amazon Bedrock integration, Hands-on AWS serverless (Lambda/API Gateway/etc.), CloudFormation / IaC provisioning

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] The candidate is arguably overqualified for a 'Pleno' role but perfectly matches the requirement for building intelligent agents and PoCs with measurable impact. The 'Supply Chain' + 'IA' background is exactly what 'strategic processes' automation needs. They should frame themselves as an 'Implementation Expert' for this role. **Strengths:** Agent automation, Business process mapping, PoC to Production lifecycle

[ANALYSIS_REPORT] **TOP** [3-Flash] This is a unicorn-level match. The JD specifically asks for Go, Python, and IA Generativa/Agents — the candidate's exact recent stack. The 'System Architect Specialist' title matches their trajectory. The combination of Go for scale and Python for AI is exactly what the candidate has been building since Jan 2025. **Strengths:** Go + Python + AI combo, Systems Architecture, API/Gateway understanding

[ANALYSIS_REPORT] **HIGH** [3-Flash] As a former founder and 'Head of Engineering', the candidate is a strong fit for an Architecture Manager role. The technical focus on Multi-agent systems and RAG is their current specialty. To improve, they should emphasize 'mentorship' and 'roadmap strategy' in their recent 'Stealth' leadership role. **Strengths:** Multi-agent systems architecture, Technical leadership, RAG & Embedding expertise **Critical Gaps:** Corporate/Client-facing management **Missing Required:** Manager-level title in a tech company

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Candidate brings senior systems and enterprise data architecture experience plus prompt engineering and prototype delivery—good match for the architect mindset. However the JD explicitly requires hands-on Salesforce Agentforce and deep D360 fluency and modern cloud data platform expertise (Snowflake/Databricks/BigQuery), which are absent from the resume. Improve by demonstrating Salesforce D360/Agentforce experience or close, documented integrations with CRM platforms and examples of Snowflake/Databricks work (or fast-track training/certs). **Strengths:** 12+ years systems and data-focused architecture experience, Proven prompt engineering, agent/RAG pipeline design, Experience delivering enterprise-grade, production automation solutions **Missing Required:** Salesforce Agentforce & D360 fluency, Deep expertise in Snowflake/Databricks/BigQuery

[ANALYSIS_REPORT] **TOP** [3-Flash] The role at i4Pro for 'Applied IA Software Architect' is a perfect fit for a 'Systems Architect' with a mechatronics background. The focus on API First (Kong), Observability (Grafana/Prometheus), and IA to accelerate development (Copilot/NLP) mirrors the candidate's recent work on their 1vCPU platform. The 'Insurance' sector is a great match for their previous 'Finance' and 'Supply Chain' experience. **Strengths:** Observability & SRE mindset, IA-driven development acceleration, API Governance **Critical Gaps:** C# ecosystem **Missing Required:** C# proficiency

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This role is a senior/architect-level Data & AI Solutions position deeply anchored in the Salesforce ecosystem (Data Cloud, Einstein, Agentforce, CRM Analytics) and Microsoft Azure data stack (Synapse, Azure ML, Azure OpenAI, Data Lake), plus Databricks for MLOps. The candidate has zero Salesforce experience and zero Azure/Databricks experience — these are not nice-to-haves but the core required stack. While the candidate demonstrates strong Python, SQL, RAG/embedding knowledge, LLM API integration, and data architecture thinking (ERP data sanitation, pipeline design), these transferable skills cannot overcome the complete absence of the two primary technology ecosystems the role demands. The candidate also lacks MLflow/MLOps production experience, Jira/Confluence usage, and any relevant certifications. A Master's degree is preferred; candidate holds a Bachelor's. To improve: obtaining Azure AI Engineer or Salesforce Data Cloud certifications would be necessary before this role becomes viable. **Strengths:** Python and SQL proficiency with demonstrated application in data pipelines and production systems, RAG, embeddings, LLM orchestration and API integration experience (Claude, Gemini, OpenAI), Strong data architecture and data quality mindset demonstrated through ERP data sanitation of 4000+ records and validation rule implementation **Critical Gaps:** Salesforce ecosystem (entire required stack), Microsoft Azure data stack (entire required stack), Databricks **Missing Required:** Salesforce Data Cloud, Einstein/Einstein 1 Platform, CRM Analytics, Agentforce, Azure Data Lake, Azure Synapse Analytics, Azure Machine Learning, Azure OpenAI, Databricks, MLflow/MLOps

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-6] This mid-level AI Analyst role closely aligns with the candidate's recent technical work. The JD requires practical LLM/GenAI application, Python proficiency, RAG, prompt engineering, API integration, rapid prototyping, and the ability to communicate technical concepts to business stakeholders — all of which the candidate demonstrates strongly through the Market Intelligence Platform (Go+Python, Claude/Gemini/OpenAI APIs, RAG pipeline, prompt tuning with PID-inspired variance reduction) and career-long business-technical translation. The candidate also has direct n8n experience (listed as desirable). Key gaps: the JD requires 'Engenheiro(a) de Software ou posição similar' experience, and the candidate's titles are Financial Analyst, Supply Chain Planner, etc. — never a Software Engineer title. LangChain is listed in the candidate's skills but practical depth is unclear vs. the strong LlamaIndex/HuggingFace ecosystem familiarity the JD expects. Missing GraphQL experience. To improve: emphasize the Market Intelligence Platform as a full-stack software engineering project, explicitly frame the role as 'AI Engineer' work, and highlight n8n and LangChain experience prominently. **Strengths:** Direct, demonstrated LLM API integration experience with Claude, Gemini, and OpenAI SDKs in production systems, RAG implementation, prompt engineering, and embedding/vectorization experience with statistical validation (26% to 2.9% variance reduction), Strong business-to-technical translation ability — exactly what the 'par com Líder da Célula' model demands **Missing Required:** Formal Software Engineer title/experience

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Strong, direct fit: candidate has shipped a production LLM-powered job intelligence platform, lists LangChain, RAG, embeddings, vector similarity, and production deployment experience—matching the core JD requirements. Small gaps are primarily nice-to-haves (Azure/Microsoft Fabric, Power BI) rather than hard blockers. To optimize, highlight the specific LLM orchestration frameworks used, any vector DBs employed, and a short bullet proving production reliability (SLOs/monitoring). **Strengths:** Shipped a production LLM application with scraping, scoring, and web UI, Hands-on with RAG, LangChain, embeddings and vector search, Production-grade engineering: error handling, monitoring, low-cost deployments

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] SDET role requires dedicated QA/testing background with automated testing infrastructure experience. Candidate has some automation experience (Puppeteer scraping, CI/CD) but no formal testing frameworks (Selenium, Cypress, Jest for testing), no QA methodologies, and no SDET or QA title history. To improve: Add specific testing framework experience and emphasize any test automation work done in projects. **Strengths:** automation mindset, scripting ability, web development knowledge **Critical Gaps:** No QA/SDET professional experience, No formal testing framework expertise **Missing Required:** SDET experience, test automation infrastructure, QA team support experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Senior Fullstack role requires Java as primary language with modern Java frameworks. Candidate has no Java experience - only Go, Python, JavaScript/Node.js. While candidate has backend and API experience, Java is a critical requirement not met. To improve: Cannot pivot without Java experience; this is a fundamental language mismatch. **Strengths:** API development, backend logic, full-stack mindset **Critical Gaps:** No Java experience - required primary language **Missing Required:** Java development, Java framework experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Senior Data DevOps with Azure requires deep Azure expertise (ADLSv2, Databricks, Synapse, Data Factory) plus Apache Spark, Kafka, and Jenkins/GitHub Actions CI/CD. Candidate has AWS fundamentals only, no Azure experience, no Spark/Kafka, limited CI/CD. Strong Python and automation mindset transfer, but Azure-specific tools are critical gaps. To improve: Would need Azure certifications and hands-on Azure data stack experience. **Strengths:** Python automation, data pipeline concepts, CI/CD understanding **Critical Gaps:** No Azure experience - role is Azure-specific, No big data tools (Spark, Kafka) **Missing Required:** Azure cloud platform, data pipeline tools, Spark/Kafka experience

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Excellent match for Agentic SE role. Candidate demonstrates: AI-first development workflow with Claude/Gemini/OpenAI APIs, human-in-the-loop code review discipline, context engineering (prompt tuning with PID-control approach), multi-file system architecture, and production deployment. Profile explicitly states 'I don't accept a single line of code from AI without reviewing.' Missing specific OpenAI Codex experience but has equivalent tooling. To improve: Explicitly mention 'Codex' or 'agentic coding' terminology in resume. **Strengths:** AI-augmented development workflow, human-in-the-loop validation, production systems with AI pipelines, context engineering/prompt optimization

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Senior-Principal .NET Engineer requires deep .NET expertise with Kafka, MSSQL, Azure stack. Candidate has zero .NET/C# experience - works in Go, Python, JavaScript. The arbitrage domain matches candidate's trading background, but the technical stack is completely mismatched. To improve: Cannot pivot without .NET experience. **Strengths:** arbitrage domain knowledge, trading system experience, Azure familiarity **Critical Gaps:** .NET is primary required stack - candidate has none **Missing Required:** .NET development, MSSQL, Kafka

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Brex Software Engineer II for Operational AI - good conceptual fit for AI automation work, KYC/underwriting automation aligns with candidate's systems thinking. However, this is a formal SWE II role at a well-funded fintech requiring professional software engineering title history. Candidate has strong AI pipeline experience but no 'Software Engineer' title. Hybrid São Paulo requirement is met. To improve: Emphasize the AI agent platform contributions and production automation experience. **Strengths:** AI pipeline development, automation systems, fintech domain exposure, production operations **Missing Required:** professional software engineering experience with SWE title

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Fullstack SaaS role with React, Node.js, TypeScript. Candidate has Node.js and JavaScript production experience but React is not explicitly demonstrated - only 'Vanilla JS' mentioned. TypeScript mentioned in skills but not demonstrated in projects. WhatsApp integration (Baileys) is niche requirement candidate doesn't have. Tailwind/Material UI also missing. To improve: Add React project or explicitly mention frontend framework experience if any. **Strengths:** Node.js backend, JavaScript, autonomous problem-solving, remote work experience **Missing Required:** React experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Mid Level Fullstack Node + React for agronegócio. Requires React TypeScript frontend, Node.js TypeScript backend, AWS Cloud, C# migration experience, and 100% English communication. Candidate has Node.js and AWS fundamentals, English C2, but no React and no C# (for migration work). BFF architecture knowledge not demonstrated. São Paulo hybrid visits possible. To improve: Add React experience if any exists; C# gap is harder to address. **Strengths:** Node.js, AWS fundamentals, English C2, technical autonomy **Missing Required:** React TypeScript, C# migration experience

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Data Architect role focused on AWS RDS/Aurora, SQL optimization, performance tuning. Candidate has PostgreSQL production experience (job platform), SQL skills, some AWS knowledge. However, deep DBA expertise (indexing strategies, stored procedure optimization, I/O bottleneck analysis) is not demonstrated at the depth required for a Data Architect role. To improve: Emphasize PostgreSQL optimization work done on the job platform; add specific query tuning examples. **Strengths:** PostgreSQL experience, SQL competency, data architecture thinking, performance mindset **Missing Required:** deep DBA experience, AWS RDS/Aurora expertise

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Early-stage collaborative software project seeking technical partnership. No formal requirements - values cocreation, dialogue, and solution-building. Candidate's profile as founder with production systems, willingness to build from scratch, and technical breadth is a strong match. The 'not traditional company position but technical partnership' language suggests startup/indie project seeking a builder. To improve: Emphasize collaborative building experience and early-stage project interest. **Strengths:** founder experience, full-stack capability, production deployment, collaborative mindset

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Excellent match for AI-Augmented SE role. JD specifically calls out 'not for engineers who occasionally use Copilot but for developers already working in AI-augmented engineering environment.' Candidate explicitly describes this exact workflow: AI code generation with human oversight, architecture responsibility, Claude/Gemini APIs in production. Backend Python/JS/Go matches. CI/CD and cloud deployment experience present. To improve: Explicitly list Claude Code or Cursor as tools used. **Strengths:** AI-augmented development workflow, code review discipline for AI output, Python/JS backend, CI/CD automation, cloud deployment

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Mid Level Analytics Engineer acting as business-data bridge. Candidate has strong business translation skills, Python, SQL, data pipeline thinking. However, specific tools required (dbt, BigQuery, Looker/Tableau/Metabase) are not in candidate's demonstrated stack. LLM integration for insights matches well. ERP data work shows data quality mindset. To improve: Add dbt if learned; emphasize BigQuery/GCP if any experience exists; highlight visualization work. **Strengths:** business-technical translation, Python, SQL, LLM pipeline development, data quality focus **Missing Required:** dbt experience, GCP BigQuery ecosystem

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Senior SE at NetCracker for OSS product development. Requires Java, Golang, or Python - candidate has Python and some Go. However, this is enterprise telecom OSS work (NetCracker is telecom software) with implementation projects, integration testing, and release management. Candidate lacks telecom domain, formal SWE title, and enterprise product development experience. Campinas/São Paulo location works. To improve: Emphasize Go production experience more; however, enterprise product development gap is significant. **Strengths:** Python, Go, integration experience, Brazil location **Missing Required:** professional SWE title history, enterprise implementation experience