Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Poor match for Data Engineer at Whirlpool. JD requires GCP ecosystem (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow), Medallion Architecture expertise, and enterprise data engineering patterns. Candidate has Python/SQL but no cloud data engineering platform experience. **Strengths:** Python, SQL/PostgreSQL, Docker awareness, Git **Critical Gaps:** GCP data engineering stack, Enterprise data pipeline tools **Missing Required:** GCP ecosystem (BigQuery, Dataflow, Pub/Sub), Cloud Composer/Airflow, Data modeling (Star Schema, Medallion)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Poor match for Senior Data Engineer at Mercado Livre. JD requires ML model training (not just API usage), BigQuery, data science methodology (hypothesis testing, experiments), and production ML deployment. Candidate has LLM API usage but not ML development. **Strengths:** Python, SQL, API integration, Data pipeline concepts **Critical Gaps:** Machine Learning model development, Data Science methodology, BigQuery **Missing Required:** ML model training experience, Data Science/ML production deployment, BigQuery

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate is a strong fit for this Python Engineer role, which focuses on building backend automations and working with ambiguity. His 3-5 years of relevant Python experience (building his platform) and demonstrated ability to reverse-engineer processes and work scrappily are exactly what the role calls for. The score is high, capped only by missing 'nice to have' GCP experience. **Strengths:** Python backend/automation, Solving ambiguous problems, Startup-like scrappiness

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is low due to a critical gap in a legacy technology. While the candidate is proficient in modern platform engineering skills like Python, Go, CI/CD, and Azure, the role explicitly requires Cobol, which is a significant and unusual requirement he does not meet. This critical gap caps the score at 40. **Strengths:** Cloud infrastructure (Azure), Python/Go/Bash scripting, DevOps tooling (Terraform, Docker, Kubernetes) **Critical Gaps:** Cobol **Missing Required:** Cobol, Java

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Moderate match for AI & Copilot Dynamics 365 Specialist in Chile. Candidate has prompt engineering and LLM experience but missing critical Dynamics 365 Customer Service, Power Platform (Power Automate, Dataverse), and Copilot Studio expertise. Microsoft ecosystem gap is significant. **Strengths:** Prompt engineering, LLM API integration, Process automation concepts **Critical Gaps:** Microsoft Dynamics 365 experience **Missing Required:** Dynamics 365 CS configuration, Copilot Studio, Power Automate/Dataverse

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This role, focused on reviewing AI-generated code and prompts, is a very strong fit for the candidate's profile. He has over 2 years of relevant experience, a strong proficiency in multiple required languages (Python, JS, Go), and his resume highlights his experience in validating AI outputs. The score is capped at 85 because the role prefers an advanced degree, which he doesn't have. **Strengths:** Software engineering experience, Proficiency in Python, JavaScript, Experience with debugging and validating code, Technical writing and attention to detail **Missing Required:** Advanced degree (preferred)

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This is a very strong match. The role requires a Senior AI Engineer with 5+ years of Python, 2+ of Cloud, and 1+ of LLM frameworks (LangChain/LlamaIndex), all of which the candidate possesses. His experience in building LLM applications, applying scalability patterns, and using DevOps practices align perfectly. The score is capped at 85 due to missing some nice-to-have skills like Streamlit/Gradio. **Strengths:** Python (5+ years), Cloud infrastructure (AWS), LLM frameworks (Langchain), LLM application architecture

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This role is identical to a previous one and remains an excellent fit. The candidate's 3+ years of ML engineering experience (via his venture), combined with hands-on model development and evaluation work, aligns perfectly with the job's focus on creating evaluation suites for AI systems. The score is capped at 85 due to the stated preference for a formal academic or industry research background. **Strengths:** 3+ years in ML engineering, Hands-on model development and evaluation, Strong reasoning skills for ML system design **Missing Required:** Background in ML research (industry lab or academic setting strongly preferred)

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Excellent match for Full Stack Developer with AI focus at DreamSquad. Candidate has Python/FastAPI, JavaScript, PostgreSQL, RAG pipeline experience, LLM APIs (exact matches), and full-stack integration. JD explicitly seeks 'arquitetura, performance e boas práticas' which aligns with candidate's engineering background. **Strengths:** Python/FastAPI, PostgreSQL, RAG pipeline implementation, LLM API integration (Claude, Gemini, OpenAI), Prompt engineering, Full-stack capability

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Moderate match for Data Engineer at Ademicon. Candidate has Python but missing critical AWS data engineering stack (Glue, Lambda, Step Functions, S3), Terraform IaC, and ETL/ELT pipeline experience. SQL/PostgreSQL match but no cloud data platform experience. **Strengths:** Python (Pandas, Boto3 adjacent), SQL/PostgreSQL, API integration **Critical Gaps:** AWS data engineering stack **Missing Required:** AWS ecosystem (Glue, Lambda, Step Functions), Terraform IaC, ETL/ELT pipeline development

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate has some relevant skills, including data modeling, Python, and experience with big data environments. However, the score is moderate because the role is for a Senior Analytics Engineer requiring deep expertise in dbt and BI platforms like Looker, which are not on his resume. His experience is more on the data/software engineering side than on the specific analytics engineering stack. **Strengths:** Python, Experience with cloud data warehouses (inferred), Strong stakeholder management skills (inferred) **Missing Required:** 6+ years of experience in Analytics Engineering, Advanced SQL with data modeling

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This role requires 5+ years of experience specifically in C++, a language the candidate does not have listed on his resume. While he is an expert engineer in other languages, this is a critical, non-transferable gap for a senior role. The ATS score is therefore capped at 40. **Strengths:** Analysis and troubleshooting, Problem-solving **Critical Gaps:** C++ **Missing Required:** 5+ years of experience in C++

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] The candidate is a decent fit, with strong SQL, Python, and experience in data modeling and transformation. He has a track record of working autonomously and understanding data systems deeply. The score is capped at 70 because the role requires mastered proficiency with specific business semantic layer tooling and data integrity testing frameworks, which are a level beyond his listed skills. **Strengths:** SQL, Python, Data Modeling, Data Quality **Missing Required:** Mastered proficiency in business semantic layer tooling

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This is a strong fit. The role requires a senior backend engineer with 5+ years in Python and Django, SQL, and experience with microservices and cloud environments. While the candidate's resume lists Go as his primary backend language, his deep Python skills and extensive experience with SQL, CI/CD, and scalable architecture make him a very strong candidate. The score is capped at 85 due to the Django requirement. **Strengths:** Python (5+ years), SQL, Microservices and Cloud, Scalable architecture design

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Hard filter: BairesDev is big consulting (red flag). Beyond culture fit, JD requires Golang expertise (candidate built Go server but not deep ecosystem), microservices, NoSQL, and CI/CD. However, BairesDev's process is highly automated and title-gatekept. **Strengths:** Go programming (webserver built), CI/CD awareness, API development

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate is a poor fit for this role. It requires a Senior Database Platform Engineer with deep expertise in Microsoft SQL Server and Azure SQL services. The candidate's listed experience is with PostgreSQL, SQLite, and AWS fundamentals. This represents a critical gap in the core database technology required, capping the score at 40. **Strengths:** Database Engineering (general), Performance Optimization (general), Cloud experience (AWS) **Critical Gaps:** Microsoft SQL Server, Azure SQL **Missing Required:** 7+ years Microsoft SQL Server DBA experience, T-SQL, PowerShell

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This role is identical to a previous one. The candidate aligns well with the AI/ML and architecture aspects of the role, including Python, MLOps, and LangChain. The score is capped at 70 because of a significant gap in a required technology: Snowflake. Additionally, the ATS will likely penalize him for not meeting the '8+ years' of experience in a specific AI/ML architect role. **Strengths:** AI/ML Architecture, LangChain, Python **Missing Required:** Snowflake (Cortex, Vector Search), 8+ years of professional experience in AI/ML architecture

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate has strong experience in the required areas of Python, API development, AWS, and data modeling. His skills are a good match for the responsibilities. The ATS score is solid but capped at 70 due to the lack of specific experience with AWS Glue and PySpark, which are mentioned as part of the desired stack. **Strengths:** API service design (Go/JS), Python, AWS (S3, RDS, Athena), Data Modeling

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate is not a good fit for this role. It requires a Full Stack engineer with expertise in C# .NET Core and React. The candidate's experience is with Go, Python, and Vanilla JS, representing a critical gap in both the primary backend and frontend languages. This caps the score at 40. **Strengths:** Microservices architecture, SQL, Kafka (inferred from orchestration experience) **Critical Gaps:** C# .NET Core, React **Missing Required:** C# .NET Core, React

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] This is a very strong match for a Senior DevOps Engineer role. The candidate has deep, hands-on experience with cloud infrastructure, IaC (Terraform), containers (Docker), Python scripting, and CI/CD. His 'metal up' philosophy aligns perfectly with the responsibilities of a platform team. The score is capped at 85 due to his primary experience being self-hosted/AWS rather than GCP-preferred. **Strengths:** Infrastructure as Code (Terraform), Containers & Orchestration (Docker), Python scripting, CI/CD pipeline construction

[ANALYSIS_REPORT] **HIGH** [2.5-Pro] The candidate has strong experience in many of the required areas for a Lead Data DevOps Engineer, including Python, SQL, AWS services, IaC (Terraform), and CI/CD. He also has proven leadership experience as a founder. The score is capped at 85 because he is missing experience with some specific tools like Redshift, EMR, and Airflow. **Strengths:** Python, SQL, AWS (ECS, RDS, Athena, S3), Infrastructure as Code (Terraform) **Missing Required:** 1 year of leadership experience (formal)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This role is for a Senior Integrated Engineer with a stack based on C# and Angular/React. The candidate's experience is in Go, Python, and Vanilla JS. This is a critical mismatch of the core programming languages and frameworks required for the job, capping the ATS score at 40. **Strengths:** Problem-solving and analytical skills, Experience with REST APIs, Understanding of microservice architecture **Critical Gaps:** C#, Angular/React **Missing Required:** C#, Angular or React

[ANALYSIS_REPORT] **TOP** [2.5-Pro] This role is a near-perfect fit. It asks for a Senior Python Developer with 5+ years of experience, SQL/NoSQL, microservices, and strong architectural skills. The candidate's deep experience with Python, SQL, building scalable systems, and his work on his own platform align perfectly. The score is capped at 85 because he is missing specific experience with the Django framework. **Strengths:** Python (5+ years), SQL, Microservices and Cloud environments, Scalable solution architecture

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate does not have the required 5+ years of Node.js experience, as his primary backend language is Go. While he is a strong backend engineer with experience in microservices, SQL, and CI/CD, the language-specific requirement is a significant gap. His JavaScript experience provides some foundation, but it's not the same as deep Node.js expertise, capping the score at 70. **Strengths:** Backend systems architecture, Microservices and cloud platforms, SQL, CI/CD **Missing Required:** Node.js (5+ years)

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] This is a duplicate of a previous AI/ML Solutions Architect role. The candidate has strong alignment with the AI/ML, Python, and architecture aspects. The ATS score is capped at 70 due to the significant gap in Snowflake expertise and the fact he does not meet the '8+ years' experience requirement for this specific job title. **Strengths:** AI/ML Architecture, LangChain, Python, MLOps **Missing Required:** Snowflake (Cortex, Vector Search), 8+ years of professional experience in AI/ML architecture