Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate hits Python, LLM API usage, and data pipeline skills. Misses traditional ML frameworks and algorithms. As a BairesDev listing, the evaluation is heavily penalized by their rigid screening processes. **Strengths:** Python, LLM APIs, Data pipelines **Missing Required:** 3+ years formal AI/ML engineering role

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Duplicate listing of Job 4 (BairesDev AI Engineer). Matches Python and basic data processing, but fails on traditional ML frameworks and strict title requirements. **Strengths:** Python, LLM APIs, Data pipelines **Missing Required:** 3+ years formal AI/ML engineering role

[ANALYSIS_REPORT] **TOP** [Opencode: google/gemini-3.1-pro-preview] Exceptionally strong match for the underlying tech and constraints. Requires Python, Linux, Docker, SQL, and REST — all of which the candidate possesses. The requirement for 'multi-process architectures (Fork, exec)' perfectly aligns with the candidate's recent work building a custom Go orchestrator with RTOS scheduling concepts. **Strengths:** Python/Linux/Docker, Multi-process architecture/Systems Design, São Paulo based & Fluent PT/EN

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate has zero experience with C++. The role is exclusively focused on C++ development. **Strengths:** Problem-solving **Critical Gaps:** C++ **Missing Required:** 5+ years C++

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Matches Node.js, REST APIs, CI/CD, and AWS fundamentals. However, the role demands expert-level TypeScript, NestJS, microservices, and observability tools (Datadog/Prometheus) which are missing from the profile. **Strengths:** Node.js, AWS Fundamentals, REST APIs **Missing Required:** TypeScript, 5+ years formal Software Engineering experience

[ANALYSIS_REPORT] **MEDIUM** [Opencode: google/gemini-3.1-pro-preview] Candidate matches Docker, AI, PostgreSQL, and has exceptional business-to-tech translation skills which fit the 'Technical Advisor' and C-Level communication requirements. However, lacks enterprise Oracle ecosystem experience. **Strengths:** Business-tech translation, PostgreSQL/Docker, C-Level Communication

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Matches AWS fundamentals, Docker, CI/CD, and GenAI concepts. However, lacks deep Data Platform/SRE requirements like Terraform (IaC), Kubernetes, and Data Warehousing (ClickHouse/Redshift). **Strengths:** Docker, CI/CD, GenAI Ops **Missing Required:** Terraform, Data warehouse platforms

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate has no Microsoft Azure experience and no Terraform experience. This is an Azure architecture role. **Strengths:** Docker **Critical Gaps:** Azure, Terraform **Missing Required:** 5+ years Azure, Terraform

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This role requires deep SQL Server expertise (T-SQL, procedures, triggers, optimization), Qlikview/Nprinting, Data Warehouse architecture, and Big Data processing — all tools and domains the candidate has zero experience with. The candidate's data experience is with PostgreSQL and application-level data pipelines, not enterprise DW/BI tooling. Python and Git match but are minor requirements relative to the SQL Server/Qlikview core. **Strengths:** Python mentioned, Git experience, PostgreSQL (adjacent to SQL databases but not SQL Server depth) **Critical Gaps:** SQL Server / T-SQL (core requirement), Qlikview / Nprinting (core requirement), Data Warehouse architecture **Missing Required:** SQL Server with T-SQL, Qlikview and Nprinting, Data Warehouse experience, Big Data and distributed processing

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] The role requires strong Databricks experience as a core skill, plus data analysis tools (SQL, Python, SparkSQL), and fluent English. The candidate has Python, SQL, and fluent English, but zero Databricks experience, no SparkSQL, and no BI/dashboard tool experience (Power BI, Tableau). The bot analytics and NLP metrics aspect is also outside the candidate's demonstrated experience. The Bosch enterprise environment is a weak red flag. **Strengths:** Python proficiency, SQL proficiency, Fluent English (must-have met), Engineering degree matches requirement **Critical Gaps:** Databricks (explicitly stated as core requirement) **Missing Required:** Databricks setup and management, SparkSQL, Bot interaction analytics

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] IBM Consulting role requiring specific ML frameworks (Scikit-learn, TensorFlow, Azure ML, LangChain), JavaScript, MLOps, and data modeling expertise. The candidate has LangChain and JavaScript, but lacks TensorFlow, Scikit-learn, Azure ML, and formal MLOps experience. The candidate uses AI APIs but doesn't train ML models. IBM is a large enterprise consulting firm — strong red flag for culture fit. The 'fluent English' requirement is met. **Strengths:** LangChain experience (direct match), JavaScript knowledge, English fluency, AI pipeline building experience **Critical Gaps:** ML framework experience (TensorFlow, Scikit-learn, Azure ML) — candidate is API consumer, not model trainer **Missing Required:** Scikit-learn, TensorFlow, Azure ML, MLOps, ML model proficiency

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This role requires deep Java/Spring Boot expertise for backend data engineering, plus Kafka, Maven/Gradle, and advanced PostgreSQL (stored procedures, indexing optimization). The candidate has PostgreSQL and Docker experience, but zero Java/Spring Boot experience, which is the absolute core of this position. The financial market differential is met, but Java is non-negotiable. **Strengths:** PostgreSQL experience, Docker experience, Financial market background (differential), API development experience (in Go, not Java) **Critical Gaps:** Java / Spring Boot (entire role is built around this stack) **Missing Required:** Java, Spring Boot, Kafka, Java build tools (Maven/Gradle)

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Matches Docker and general AWS. Missing strict requirements for Terraform, Terraform Cloud, Datadog, and ECS. Applaudo is a consulting firm that looks for exact stack matches. **Strengths:** Docker, AWS fundamentals **Missing Required:** 5+ years DevOps, Terraform

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] Identical to Job 10 (IBM Consulting Data Engineer). Same requirements: Scikit-learn, TensorFlow, Azure ML, LangChain, JavaScript, MLOps, data modeling. Same gaps: candidate lacks ML frameworks, MLOps, and model training experience. LangChain and JavaScript match, English fluency met, but core ML engineering gaps remain. **Strengths:** LangChain experience (direct match), JavaScript knowledge, English fluency, AI pipeline building experience **Critical Gaps:** ML framework experience (TensorFlow, Scikit-learn, Azure ML) — candidate is API consumer, not model trainer **Missing Required:** Scikit-learn, TensorFlow, Azure ML, MLOps, ML model proficiency

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Role requires 7+ years of C++ experience. Candidate has zero C++ experience. **Strengths:** Leadership **Critical Gaps:** C++ **Missing Required:** 7+ years C++

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Matches Generative AI (OpenAI/Gemini), REST/JSON integrations, SQL, and language requirements. However, lacks the core foundation of traditional Contact Center platforms (NICE, Genesys, Avaya) and Voice Portals. **Strengths:** Generative AI integration, REST APIs, Bilingual PT/EN **Missing Required:** Experience in Contact Center platforms

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Duplicate listing of Job 12 (Applaudo AWS DevOps). Matches Docker but misses Terraform and specific AWS ECS requirements. **Strengths:** Docker, AWS fundamentals **Missing Required:** 5+ years DevOps, Terraform

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] Infosys role requiring deep Snowflake, Azure Data Factory, DBT, and SQL expertise for data pipeline engineering. The candidate has SQL and Git/CI-CD experience, but zero Snowflake, Azure Data Factory, or DBT experience. These are the core requirements, not nice-to-haves. Infosys is a large enterprise consulting firm — strong red flag for culture. **Strengths:** SQL proficiency, Git and CI/CD experience, Data validation experience (from ERP work) **Critical Gaps:** Snowflake (core requirement), Azure Data Factory (core requirement), DBT (core requirement) **Missing Required:** Snowflake, Azure Data Factory (ADF), DBT

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Matches Python, but completely lacks ReactJS, GraphQL, and AWS DynamoDB. Candidate's frontend experience is strictly Vanilla JS without frameworks. **Strengths:** Python **Critical Gaps:** ReactJS, GraphQL **Missing Required:** ReactJS, GraphQL, DynamoDB

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] Identical requirements to Job 13 (Infosys Snowflake Data Engineer). Same critical gaps in Snowflake, Azure Data Factory, and DBT. Same analysis applies — complete toolset mismatch with enterprise consulting culture red flag. **Strengths:** SQL proficiency, Git and CI/CD experience, Data validation experience **Critical Gaps:** Snowflake (core requirement), Azure Data Factory (core requirement), DBT (core requirement) **Missing Required:** Snowflake, Azure Data Factory (ADF), DBT

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Requires deep AWS Platform Engineering with Terraform, GitHub Actions, and ECS. Candidate lacks Terraform and ECS experience. **Strengths:** CI/CD general concepts **Critical Gaps:** Terraform **Missing Required:** 6+ years AWS, Terraform

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Role requires 5+ years of modern C++ for a low-latency trading engine. Candidate has no C++ experience. **Strengths:** Python, Trading strategy domain knowledge **Critical Gaps:** C++ **Missing Required:** 5+ years C++

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Requires specific expertise in Storyblok CMS, React, and Next.js. Candidate built a custom CMS but lacks the specific React/Next.js ecosystem tools required here. **Strengths:** Node.js **Critical Gaps:** React, Storyblok **Missing Required:** Storyblok expertise, React

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] Senior Data Engineer leadership role requiring deep Azure Databricks expertise (Spark/PySpark, Delta Lake, ADF, ADLS Gen2), dimensional modeling (Star Schema), and DataOps automation. The candidate has some transferable skills (Python, technical leadership, business translation), but zero experience with the Azure/Databricks ecosystem, PySpark, Delta Lake, or dimensional modeling. The technical leadership and communication requirements match, but the core tech stack is entirely missing. **Strengths:** Technical leadership experience, Business-technical translation ability, Python base (but not PySpark), CI/CD experience **Critical Gaps:** Azure Databricks ecosystem (entire role revolves around this), PySpark/Spark (core technical requirement) **Missing Required:** Azure Databricks, PySpark/Spark, Delta Lake, Azure Data Factory, Dimensional modeling (Star Schema)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] Amazon SDE role requiring 3+ years of professional software development experience, proficiency in major programming languages (Java, Python, C++, etc.), UNIX/Linux systems design, and OO modeling. The candidate has Python, Go, JavaScript, and Linux experience, plus systems design thinking. However, Amazon's ATS explicitly filters on '3+ years of software development experience' — the candidate's titles are Financial Analyst, Supply Chain Planner, not Software Developer. The Mechatronics Engineering degree partially meets the education preference. **Strengths:** Python proficiency, Linux/UNIX experience, Systems design and architecture thinking, Engineering degree matches preferred qualifications **Missing Required:** 3+ years professional software development experience (title-based)