Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The ATS score is low due to a critical platform gap. This role at TCS is for an Artificial Intelligence Engineer deeply integrated with the Databricks Mosaic AI platform, including Lakeflow, Vector Search, and AI Functions. The candidate's experience is with self-hosted systems and general cloud services, not the specific and deeply integrated Databricks ecosystem required here, leading to a score cap of 40. **Strengths:** Python, RAG concepts, Prompt engineering **Critical Gaps:** Databricks Mosaic AI **Missing Required:** Databricks Mosaic AI, Lakeflow, Unity Catalog, Delta Lake

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] Strong match for AI specialist role: candidate has LLM APIs (Claude/Gemini/OpenAI), RAG pipeline experience, embeddings, prompt engineering, and Python/SQL. Consulting context values business translation skills which candidate demonstrates. Missing MLOps and formal data science background limits score. **Strengths:** LLM API experience (Claude, Gemini, OpenAI), RAG pipeline implementation, Prompt engineering with statistical validation, Business-technical translation

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] Good AI specialist match: candidate has generative AI agents experience, LLM APIs, automation skills. JD seeks 'multiplicador de conhecimento' and cross-functional collaboration which aligns with candidate's business-engineering bridge role. Missing formal AI development/agent framework experience. **Strengths:** Generative AI practical experience, Automation and efficiency focus, Cross-functional collaboration proven, Production systems deployment

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Moderate match for Data Analyst with AI focus. Candidate has Python, SQL, RAG concepts, n8n, API integrations. JD is junior-oriented ('Analista') which matches candidate's non-traditional entry. Missing Power BI and formal data engineering pipeline experience. **Strengths:** Python (pandas, requests), SQL knowledge, RAG and LLM concepts, n8n automation experience, API integration

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This 'Vibe Coder' role is about creative building, rapid prototyping, and using AI to improve workflows, which perfectly describes the candidate's profile and personal projects. The score is high because his experience in building products and using AI tools aligns with the core of the job. It's capped at 85 only because the JD lists specific 'vibe coding' platforms he hasn't explicitly mentioned, but his skills are directly transferable. **Strengths:** Experience building products (side projects), Prototyping AI utilities, Creative, curious mindset

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This is a very strong match. The AI Engineer II role requires end-to-end ownership of full-stack AI platforms, translating ambiguous problems into scalable solutions using Python, SQL, and React (or other frontend). This almost perfectly describes the candidate's 'Job Intelligence Platform' project. The score is high, capped at 85 due to missing 'nice-to-have' skills like Golang. **Strengths:** Designing and building AI-powered systems, Full-stack experience (Python, SQL, JS), Operating in ambiguous problem spaces, Systems thinking

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Strong match for Marketplace automation role. Candidate has n8n expertise, API REST knowledge, JSON handling, process optimization mindset, and AI for business efficiency. B2B construction supply chain context aligns with candidate's supply chain background. Missing formal systems education. **Strengths:** n8n automation experience, API REST integration, Process mapping and optimization, Supply chain domain knowledge, AI practical application

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] The candidate has a strong background in software development (Python, JS) and AI agent development, which are the core requirements of this Process & AI Analyst role. His experience with data analysis and building automation tools is also a direct match. The score is capped at 70 due to the lack of explicit experience with the Microsoft Power Platform, a required skill. **Strengths:** Software development (Python, JavaScript), AI agent development, Data analysis and design thinking **Missing Required:** Microsoft Power Platform (Power BI)

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate is a strong fit for this Analyst, AI & Automation role. He has proven experience analyzing business processes (supply chain, finance) and designing automation solutions, which is the core of the job. His proficiency with AI tools like Claude/ChatGPT for analysis and his technical background make him well-suited. The score is capped at 85 due to a lack of experience with specific RPA platforms listed. **Strengths:** Process analysis and documentation, AI tools for analysis (Claude, ChatGPT), Solution design **Missing Required:** 2-4 years in business / process analysis roles

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Excellent match for GenAI + Operational Efficiency Senior role. Candidate has LLM APIs (OpenAI, Anthropic), RAG, prompt engineering, production automation, clean code principles, and business-tech translation. Role explicitly seeks 'time de uma pessoa só' builder mentality which matches candidate perfectly. **Strengths:** LLM API production experience (OpenAI, Anthropic), RAG implementation, Prompt engineering, Operational automation builder, Works autonomously

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Moderate match for RPA + AI Analyst role. Candidate has LLM APIs, n8n, Python automation, prompt engineering, but lacks UiPath/Automation Anywhere/Power Automate formal experience. JD requires RPA tools explicitly. Business impact measurement and ROI focus aligns well. **Strengths:** Python automation, LLM API integration, n8n workflow automation, Business ROI focus, Process optimization **Missing Required:** RPA platform experience (UiPath/Automation Anywhere/Power Automate)

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Junior BI Analyst with RPA/AI focus - candidate overqualified in some areas but missing Power BI and formal data analytics tools. Python automation match is good. JD welcomes 'automações simples com Python (pessoais, acadêmicas ou profissionais)' which candidate exceeds. **Strengths:** Python automation beyond requirement, API integration, Process automation mindset, SQL knowledge

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Good match for GenAI Analyst at Cielo. Candidate has RAG, embeddings, prompt engineering, Python/SQL, API integrations. Missing Power Platform experience (Power Automate/Power Apps/Copilot Studio) which JD lists as important differential. Large enterprise hiring process. **Strengths:** GenAI production experience, RAG/embeddings implementation, Prompt engineering, Python/SQL proficiency, API integration

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Poor match for Industrial AI Specialist. JD requires deep ML/DL model training, computer vision for manufacturing, edge AI, industrial protocols (OPC UA, MQTT, Modbus). Candidate has LLM API usage but not model training, no industrial automation, no embedded systems AI. **Strengths:** Python programming, Engineering background (Mechatronics), Systems thinking **Critical Gaps:** Machine Learning model development, Industrial automation AI, Computer vision, Embedded systems **Missing Required:** ML/DL model training experience, Industrial environment AI projects, OPC UA/MQTT/Modbus

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] Good match for AI + Process Automation Specialist. Candidate has LLM APIs, prompt engineering, n8n, API integration, business ROI focus. Missing formal low-code tools (Bubble, Zapier certification) but JD emphasizes results over tools. Strong process optimization alignment. **Strengths:** LLM API integration (ChatGPT, Gemini), n8n automation, API/webhook integration, Business process analysis, ROI measurement mindset

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Moderate match for Python Automation Developer. Candidate has Python, API integration, but JD heavily emphasizes Power Platform (PowerApps, Power Automate, Forms) which candidate lacks. SQL Server/PostgreSQL match. Missing Microsoft ecosystem depth. **Strengths:** Python automation, PostgreSQL, API integration, Git, OAuth 2.0/OIDC **Missing Required:** Power Platform experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Poor match for AI/ML Specialist role. JD requires deep ML expertise (neural networks, regression, classification), computer vision, NLP tokenization, TensorFlow/PyTorch. Candidate has LLM API usage but not ML model development. Presencial requirement in Passo Fundo/RS adds geographic constraint. **Strengths:** Python programming, n8n/Power Automate awareness, Process optimization, API integration **Critical Gaps:** Machine Learning model development, Deep Learning implementation, Statistical ML algorithms **Missing Required:** ML algorithm expertise, Neural network training, Computer vision, Advanced statistics

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] Strong match for Automation + AI Analyst in Maringá. Candidate has ChatGPT expertise, Make/n8n experience, process mapping, Google Workspace, and practical automation implementation. JD explicitly seeks 'mão na massa' executor which matches candidate's builder profile. **Strengths:** ChatGPT/LLM expertise, n8n/Make automation, Process mapping, Google Workspace, Implementation executor

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Moderate match for Automation & AI Specialist I. JD requires RPA (formal tools), Machine Learning, Deep Learning frameworks which candidate lacks. Python match is good. Presencial in Passo Fundo/RS is geographic constraint. Missing formal ML/DL experience. **Strengths:** Python programming, Automation mindset, Problem solving, API integration **Critical Gaps:** ML/DL framework experience **Missing Required:** Machine Learning expertise, Deep Learning frameworks

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Strong match for AI/Automation Developer at NGO. Candidate has automation implementation, LLM API integration, prompt engineering, process mapping. Non-profit sector values practical impact over credentials. JD seeks 'implementação de soluções de automação inteligente e Inteligência Artificial'. **Strengths:** Automation implementation, LLM API integration, Prompt engineering, Process analysis, Documentation skills

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Excellent match for Automation & AI Analyst at marketing agency. Candidate has n8n expertise, LLM APIs (Claude, GPT, Gemini), API integration, SQL databases, prompt engineering. JD specifically seeks n8n experience and 'engenharia de prompts' which are direct matches. **Strengths:** n8n expert-level experience, Claude/GPT/Gemini API integration, SQL and database management, API REST/webhooks, Prompt engineering

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This role requires a hands-on builder to implement AI automations using no-code/low-code platforms, and the candidate's profile as a pragmatic, execution-oriented engineer is a strong match. His experience building AI workflows aligns perfectly with the job's focus. The score is high, with minor deductions for not explicitly listing the specific 'OpenClaw' platform, though his skills are directly transferable. **Strengths:** Hands-on experience building AI-powered automations, Experience with AI models (Claude), Execution-oriented mindset

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Moderate match for Cloud Consultant - IA e Automação at Vivo. Candidate has LLM APIs, Python, automation, but missing critical cloud architecture depth (Azure AI Studio, Bedrock, Vertex AI production experience), RAG enterprise deployment, containers/Kubernetes, and cloud certifications. **Strengths:** Python, LLM API integration, RAG concepts, Prompt engineering **Critical Gaps:** Enterprise cloud AI architecture, Container orchestration **Missing Required:** Cloud AI platform expertise, Enterprise automation tools (UiPath/Automation Anywhere), CI/CD pipelines production

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This is an extremely strong fit. The role requires a Principal Engineer to build agentic GTM systems at the intersection of LLMs, data warehouses, and CRMs. The candidate's experience in building a Go orchestrator, data pipelines, using LLM APIs, and his deep systems thinking align perfectly. The score is capped at 85 due to lack of specific experience with some agent frameworks like LangGraph/AutoGen, but his skills are highly applicable. **Strengths:** Agentic Systems Architecture, Data Architecture & Pipeline Engineering, LLM & Intelligence Layer implementation, Python

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Moderate match for Mid-level Python Developer. Candidate has Python but JD focuses on software quality tools (static analysis, sanitizers, linters), Bazel build system, and automotive industry standards (MISRA, AUTOSAR, ISO-26262). Completely different domain from candidate's experience. **Strengths:** Python proficiency, Git/CI-CD awareness, Documentation **Critical Gaps:** Automotive software quality standards, Bazel build system **Missing Required:** Software quality tools experience, Automotive compliance knowledge, Bazel