Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This is a duplicate posting. The resume is scored low because it lacks several explicit, advanced requirements for this Solutions Architect role. While the candidate has experience building systems, there is a critical gap in 'agentic AI systems', 'orchestration workflows', and specific technologies like 'Model Context Protocol (MCP)' and 'Vercel AI SDK'. The required 8+ years of professional Solutions Architecture experience is also a major gap, triggering a score cap. **Strengths:** Experience building decoupled systems, Ability to translate goals into technical designs, API-first design experience (inferred) **Critical Gaps:** 8+ years of professional Solutions Architecture experience, Designing agentic AI systems and orchestration workflows **Missing Required:** 8+ years of professional Solutions Architecture experience, Proven experience building or integrating AI systems using Model Context Protocol (MCP), Hands-on experience developing AI-powered applications using the Vercel AI SDK

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role is not a job but an application to a network of experts who 'build custom AI tools', 'work with APIs, LLMs, and backend systems', and 'ship reliable solutions end to end'. This perfectly describes the candidate's recent experience as a founder building a Job Market Intelligence tool and an automated e-commerce business. The focus on outcomes over titles results in a very high score. **Strengths:** Builds custom AI tools (Job Market tool), Works with APIs, LLMs, and backend systems, Ships reliable solutions end-to-end (automated e-commerce)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate has some relevant experience, such as a foundational knowledge of AWS and a background that involves designing systems. However, the score is significantly penalized due to the lack of 5+ years of direct cloud architecture experience and the absence of deep, hands-on experience with deploying large-scale ML models into production, which is central to this senior consulting role. **Strengths:** AWS Fundamentals, Ability to translate business needs into systems (inferred), Generative AI knowledge (inferred from LLM projects) **Critical Gaps:** 5+ years of cloud architecture and solution implementation experience **Missing Required:** 5+ years of cloud architecture experience, 5+ years of experience in deploying large scale machine learning systems

[ANALYSIS_REPORT] **MEDIUM** [3-pro] Perfect technical fit (No-code, Python, Automation). Title 'Assistant' is likely below candidate's level, but if the goal is entry, it's a sure shot. **Strengths:** No-code/Low-code, Python, Automation

[ANALYSIS_REPORT] **TOP** [3-pro] This JD reads like it was written for the candidate. 'Not hiring a dev, hiring an operator', 'Systems that run themselves'. The cultural and philosophical alignment is 100%. **Strengths:** Operational Mindset, Autonomous Agents, Python

[ANALYSIS_REPORT] **HIGH** [3-pro] Retail/Fashion group (Soma/Azzas). Candidate has deep Supply Chain/E-commerce background. Role is hands-on AI specialist to bridge tech and business. **Strengths:** Supply Chain/Retail knowledge, Hands-on AI, Business Translation

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role for an AI Agent Architect scores very high because it aligns perfectly with the candidate's demonstrated skills and interests. The requirements for 'agent frameworks (LangGraph, CrewAI)', 'LLM technologies (LangChain)', and designing 'systems with autonomous agents' directly match the candidate's project of building a 'Job Market Intelligence tool'. The focus on architecture over a specific job title makes this a strong fit. **Strengths:** Agent Frameworks (LangGraph inferred from systems building), LLM and Agent Technologies (LangChain inferred), Distributed Systems Design, Cross-functional Collaboration

[ANALYSIS_REPORT] **HIGH** [3-pro] Specific mention of 'n8n' and 'Gemini Apps' aligns perfectly with candidate's stack. 'Innovation' and 'Adventure' culture tags fit the 'Scrappy' profile. **Strengths:** n8n, Gemini, Architecture

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This is a duplicate posting. The resume is scored low because it lacks several explicit, advanced requirements for this Solutions Architect role. While the candidate has experience building systems, there is a critical gap in 'agentic AI systems', 'orchestration workflows', and specific technologies like 'Model Context Protocol (MCP)' and 'Vercel AI SDK'. The required 8+ years of professional Solutions Architecture experience is also a major gap, triggering a score cap. **Strengths:** Experience building decoupled systems, Ability to translate goals into technical designs, API-first design experience (inferred) **Critical Gaps:** 8+ years of professional Solutions Architecture experience, Designing agentic AI systems and orchestration workflows **Missing Required:** 8+ years of professional Solutions Architecture experience, Proven experience building or integrating AI systems using Model Context Protocol (MCP), Hands-on experience developing AI-powered applications using the Vercel AI SDK

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The resume scores well because this AI Solutions Engineer role emphasizes designing and implementing AI-powered solutions, building and deploying models, and integrating AI into systems. This aligns with the candidate's hands-on experience building an LLM-integrated tool and automated e-commerce platform. The focus is on the engineering and solution-building aspect, where the candidate is strong, rather than a specific title. **Strengths:** Design and develop AI solutions, Build and deploy AI applications, Collaborate with cross-functional teams, Python and relevant AI/ML libraries (inferred) **Missing Required:** 3+ years of experience in AI, machine learning, or related fields (title gap)

[ANALYSIS_REPORT] **HIGH** [3-pro] Role combines technical implementation with client facing ('Client Founder'). Candidate's background in consulting and 'translating' for executives is a direct hit. **Strengths:** Client-facing, Python, Problem Solving

[ANALYSIS_REPORT] **TOP** [3-pro] The 'Holy Grail' match. Req: TOTVS Protheus + AI + Python. Candidate has 12 years TOTVS, deep reverse engineering of its schema, AND modern AI/Python skills. This combination is extremely rare. **Strengths:** TOTVS Protheus Deep Expertise, Python/AI, Leadership

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This is a duplicate posting. The resume is scored low because it lacks several explicit, advanced requirements for this Solutions Architect role. While the candidate has experience building systems, there is a critical gap in 'agentic AI systems', 'orchestration workflows', and specific technologies like 'Model Context Protocol (MCP)' and 'Vercel AI SDK'. The required 8+ years of professional Solutions Architecture experience is also a major gap, triggering a score cap. **Strengths:** Experience building decoupled systems, Ability to translate goals into technical designs, API-first design experience (inferred) **Critical Gaps:** 8+ years of professional Solutions Architecture experience, Designing agentic AI systems and orchestration workflows **Missing Required:** 8+ years of professional Solutions Architecture experience, Proven experience building or integrating AI systems using Model Context Protocol (MCP), Hands-on experience developing AI-powered applications using the Vercel AI SDK

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This is a duplicate posting. The resume is scored low because it lacks several explicit, advanced requirements for this Solutions Architect role. While the candidate has experience building systems, there is a critical gap in 'agentic AI systems', 'orchestration workflows', and specific technologies like 'Model Context Protocol (MCP)' and 'Vercel AI SDK'. The required 8+ years of professional Solutions Architecture experience is also a major gap, triggering a score cap. **Strengths:** Experience building decoupled systems, Ability to translate goals into technical designs, API-first design experience (inferred) **Critical Gaps:** 8+ years of professional Solutions Architecture experience, Designing agentic AI systems and orchestration workflows **Missing Required:** 8+ years of professional Solutions Architecture experience, Proven experience building or integrating AI systems using Model Context Protocol (MCP), Hands-on experience developing AI-powered applications using the Vercel AI SDK

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate is a strong fit for this 'AI Foundry Solution Consultant' role, which is described as a group of expert 'builders' focused on rapid prototyping and strategic innovation. This aligns perfectly with the candidate's founder experience and hands-on, problem-solving approach. The score is high due to the emphasis on building, prototyping, and blending AI with workflow, but is capped at 70 because the preferred experience on the ServiceNow platform is missing. **Strengths:** Hands-on technologist who loves building, Innovative, experimental mindset, Experience architecting and delivering technical solutions, Data engineering and integration experience **Missing Required:** Experience developing solutions on the ServiceNow Platform (preferred)

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The resume is a near-perfect match for this highly specific 'Low-Code Engineer' role. The JD requires an 'n8n Expert' who can use Code Nodes (JavaScript), write SQL queries (Supabase/PostgreSQL), and structure prompts for LLMs (Claude/GPT). The candidate's experience building a Job Market Intelligence tool with Node.js, LLMs, and SQLite, combined with his SQL and automation skills, aligns directly with every core requirement. **Strengths:** Orchestration expert (inferred from custom tools, Zapier/Make), Data literate (SQL), Prompt Engineer (LLM integration experience), Detail-oriented systems builder

[ANALYSIS_REPORT] **HIGH** [3-pro] Standard GenAI Engineer role (RAG, FastAPI, Python). Candidate has all these skills from his recent projects. Solid technical match. **Strengths:** RAG, FastAPI, Python

[ANALYSIS_REPORT] **MEDIUM** [3-pro] Another Big 4 role (EY) but for 'Engineer' not 'Data Eng', focusing on RAG/LLMs. Stack matches (CrewAI, LangChain). Better fit than the other EY role. **Strengths:** CrewAI, RAG, Python

[ANALYSIS_REPORT] **LOW** [3-pro] Strict geographic requirement: 'OBRIGATÓRIO residir em Belo Horizonte'. Candidate is in São Paulo. **Strengths:** GenAI, RAG **Critical Gaps:** Location (Belo Horizonte) **Missing Required:** Residência fixa na Grande BH

[ANALYSIS_REPORT] **TOP** [2.5-Pro] The resume is a strong match for this Agentic AI Engineer role, scoring high because it emphasizes the exact skills the candidate has demonstrated. Requirements like 'build and deploy LLM-powered agents' (Job Market tool), 'implement RAG pipelines' (inferred from his tool's function), and 'integrate agents with third-party APIs' are all core to his recent work. The focus on practical application over formal titles works heavily in his favor. **Strengths:** Building LLM-powered agents for automation, Retrieval-Augmented Generation (RAG) experience, Integrating external APIs, Strong Python software engineering background

[ANALYSIS_REPORT] **LOW** [3-pro] Deloitte role focusing on 'Training models', 'HPC', 'Transformers architecture'. This is research-grade Data Science, not applied AI Engineering. **Strengths:** GenAI **Critical Gaps:** Research-level Deep Learning

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] The resume matches well with the core responsibilities of an 'Advanced AI Engineer', such as building LLM-based applications with Python and integrating AI services. The candidate's experience with LLM integration and end-to-end application development is a strong plus. However, the score is capped due to the missing 5+ years of SWE experience and lack of explicit experience with named frameworks like LangChain/LlamaIndex, which are listed requirements. **Strengths:** Designs, develops, and deploys AI-driven capabilities, Integrates third-party AI services, Applies scalability patterns (inferred from own business), Containerize applications using Docker (inferred) **Missing Required:** 5+ Years of experience working with Python development, 1+ Years of experience working with LLM frameworks (Langchain and/or LlamaIndex)

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This is a duplicate posting. The resume matches well with the core responsibilities of an 'Advanced AI Engineer', such as building LLM-based applications with Python and integrating AI services. The candidate's experience with LLM integration and end-to-end application development is a strong plus. However, the score is capped due to the missing 5+ years of SWE experience and lack of explicit experience with named frameworks like LangChain/LlamaIndex, which are listed requirements. **Strengths:** Designs, develops, and deploys AI-driven capabilities, Integrates third-party AI services, Applies scalability patterns (inferred from own business), Containerize applications using Docker (inferred) **Missing Required:** 5+ Years of experience working with Python development, 1+ Years of experience working with LLM frameworks (Langchain and/or LlamaIndex)

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] The candidate has demonstrated experience with several key aspects of this Machine Learning Engineer role, such as building with LLMs, production deployment, and using AWS services. The score is solid but capped because the role requires deep experience with specific MLOps tools (MLflow, CDK for IaC) and NLP techniques (fine-tuning, LoRA, quantization) that are not present on the resume. **Strengths:** Experience with LLMs in production (RAG, batch inference), Experience in AWS (SageMaker, S3, Lambda, Step Functions), Experience building production-grade APIs (FastAPI/Flask inferred), SQL databases **Missing Required:** 3+ years of experience delivering end-to-end NLP and LLM solutions (title gap), Experience with fine-tuning, LoRA, quantization, Experience with MLOps, including MLflow/W&B, CI/CD

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This Generative AI Engineer role is an excellent match, scoring very high because it focuses on building and architecting scalable AI applications using the exact skills the candidate has demonstrated. The requirements for building RAG pipelines, implementing agentic architectures, and developing backend services in Python are a direct hit. The 'explorer profile' and 'resilience' sought are perfectly embodied by the candidate's founder and freelance experience. **Strengths:** Building and optimizing RAG architectures, Implementing agentic architectures, Developing robust backend services and APIs for AI, Full-stack development experience **Missing Required:** 3+ years of professional software engineering experience (title gap)