Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] AI Solutions Analyst focusing on prompt engineering and workflow integration. Candidate has strong prompt engineering, LLM pipeline design, and integration experience. Missing JavaScript/JSON explicit coding and enterprise tool integration (ITSM/CRM/ERP beyond TOTVS). **Strengths:** Prompt engineering, LLM pipeline design, Prompt chaining concepts, ERP integration (TOTVS), API integration

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] AI Technology Analyst role with focus on prompt engineering and no-code agent creation. Strong alignment with candidate's prompt engineering, LLM pipeline, and Python+AI experience. Values learning ability and 'Grit' over traditional experience. **Strengths:** Prompt engineering, Python+AI integration, Proactive problem-solving, Learning agility, Production AI implementation

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] AI Solutions Engineer at BairesDev requiring 3+ years explicit AI/ML experience. Candidate has LLM pipeline experience but lacks traditional ML model building (scikit-learn, TensorFlow, PyTorch depth). BairesDev is consulting firm - culture red flag. **Strengths:** Python, LLM API experience, AI pipeline design **Missing Required:** 3+ years AI/ML experience, ML framework proficiency

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] AI Architect role requiring deep ML/DL expertise, cloud architecture, MLOps, and team leadership. Candidate has LLM pipeline experience but lacks feature engineering, MLOps depth, and cloud architecture certification. AutoCAD/Civil Engineering differential not present. **Strengths:** Python, LLM experience, Data pipeline design, Systems architecture thinking **Missing Required:** ML/DL cycle expertise, Cloud architecture experience, Team technical leadership

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] AI Architect requiring deep expertise in data science, ML/DL, LLM, and cloud data architecture (Data Warehouse, Data Lake, Lakehouse). Candidate has LLM experience but lacks traditional data science depth, Spark/Hadoop, Databricks/Snowflake, and visualization tools. **Strengths:** LLM/NLP experience, Python/SQL, PostgreSQL, Data pipeline concepts **Missing Required:** Cloud data architecture experience, Data science methodology, ML/DL model development

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Good match for AI Services Consultant: strong consulting, product translation skills and AI technical proficiency align to the role's mix of consulting and technical delivery. Candidate's professional services and go-to-customer experience are relevant; some CRM/product-specific metrics preferred but not required. **Strengths:** Consulting & delivery experience, AI adoption and measurement focus, Stakeholder communication and program management **Missing Required:** 3+ years consulting/professional services (met)

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] Junior/Pleno Automation & AI Analyst with n8n/Make/Lovable focus. Excellent alignment: candidate has n8n experience, API/webhook integration, LLM APIs, CRM background. Role explicitly welcomes learning and growth. Presential Brasilia is a constraint. **Strengths:** n8n automation, API/webhook integration, LLM API experience, CRM/ERP integration, SQL knowledge, Production automation

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Partial match: candidate has Python and AWS fundamentals and strong overall engineering but lacks mandatory Spark/AWS Glue experience explicitly required for this data-engineering role. ATS will downgrade for missing core data-platform technologies. **Strengths:** Python data pipelines, Data architecture and monitoring experience, Cloud fundamentals **Missing Required:** Spark/AWS Glue (MUST)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Backend Developer Senior for Pix team at Bradesco requiring Java 11/17/21 and Spring Boot 3. Candidate has zero Java experience. Enterprise bank with formal processes and title requirements. **Strengths:** Messaging concepts, Redis basics, CI/CD concepts, API development **Critical Gaps:** Java/Spring Boot - primary technology requirement completely absent **Missing Required:** Java proficiency, Spring Boot 3, Microservices Java experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Weak match: role requires deep Azure and Terraform experience; resume lists AWS fundamentals, Docker and CI/CD but not enterprise Azure Landing Zones or Azure DevOps specifics. ATS will deduct for missing the core cloud platform requirement. **Strengths:** Infrastructure automation mindset, Terraform/CI/CD familiarity (partial) **Missing Required:** 5+ years Azure (required)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Moderate match: candidate has general software engineering experience and product orientation; however resume does not foreground Ruby which is the primary product stack and the role requires learning Ruby. ATS will mark missing Ruby but recognizes engineering transferability. **Strengths:** Product engineering mindset, Autonomy and product delivery, AI tooling adoption

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Mobile Engineer (Android/POS/Smart POS) requiring Flutter/Kotlin/Java native Android development. Candidate has zero mobile development experience. Role requires payment terminal SDK knowledge, AIDL, Android lifecycle expertise. **Strengths:** API concepts, Some fintech domain adjacency **Critical Gaps:** Mobile/Android development - completely different domain **Missing Required:** Mobile development experience, Flutter/Kotlin proficiency, Android lifecycle knowledge, Payment systems experience

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Good match: candidate lists Node.js, TypeScript/Node, Python, AWS, Docker, CI/CD, and security/observability practices that align with Pearson's senior engineering needs. Degree and experience levels meet the job's baseline and resume demonstrates operational excellence and secure delivery habits. **Strengths:** Node.js/TypeScript + Python, Observability and SLO thinking, Cloud + container familiarity

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This role requires deep C++ expertise for PACS Server and medical image processing — a completely different domain and primary language from the candidate's profile. The candidate has zero C++ experience, no DICOM/HL7 knowledge, and no medical imaging background. Mechatronics Engineering is adjacent to the 'areas correlatas' degree requirement, but the critical C++ gap is disqualifying. **Strengths:** AWS experience (basic), Systems architecture thinking, Distributed systems concepts **Critical Gaps:** C++ development (primary language requirement), Medical imaging domain expertise **Missing Required:** C++, PACS Server experience, medical image viewers

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Solid match: strong Python, AWS fundamentals and infrastructure automation skills align with the role; candidate has production experience with monitoring and automation. Missing explicit Kubernetes experience triggers a deduction but overall fit remains good for backend/cloud roles. **Strengths:** Python backend, AWS experience, Infrastructure as Code familiarity **Missing Required:** Kubernetes (expected)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Reasonable match: candidate has Python, AWS fundamentals, K8s not strongly shown and Terraform is listed as preferred; data platform tooling (Kafka, Prefect) may be partially missing but trading background and data pipeline experience are relevant. ATS sees many overlaps but deducts for missing specific platform tools. **Strengths:** Python data engineering, AWS fundamentals, Trading strategy & data context

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This role requires C#, C++, and JavaScript as primary development languages, plus enterprise messaging systems (MQSeries, ActiveMQ, Kafka) and specific databases (SQL Server, Oracle, PostgreSQL). The candidate has JavaScript and PostgreSQL, but zero C# and C++ experience, which are the core of this role. The financial sector experience is a differential match, but the core tech stack gap is critical. **Strengths:** JavaScript/Node.js experience, PostgreSQL experience, Financial sector background (differential) **Critical Gaps:** C# development (primary required language), C++ development (primary required language) **Missing Required:** C#, C++, MQSeries/ActiveMQ/Kafka, SQL Server, Oracle

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] The candidate has strong overlap in AI/LLM areas (RAG, embeddings, vector databases, prompt engineering, API consumption of AI models) and Python/SQL. However, the role requires deep AWS expertise across specific services (Athena, Glue, Lambda, ECS, API Gateway, S3), GitHub Actions, and experience in distributed environments with governance pipelines (IuPipes). The accessibility domain is niche. The candidate lacks Java/C# (welcomed), and has no demonstrated experience with GitHub Actions or the specific AWS services at depth. **Strengths:** RAG, embeddings, vector search experience, Prompt engineering and AI pipeline design, Python and SQL proficiency, Systems architecture and technical translation ability **Missing Required:** AWS services depth (Athena, Glue, Lambda, ECS), GitHub Actions, IuPipes pipelines, distributed environment experience at enterprise scale

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-6] Strong alignment across multiple dimensions: the candidate has hands-on experience with API integrations, n8n, Zapier, Make.com, PostgreSQL, Node.js, JavaScript, OpenAI/Anthropic APIs, and has built complete systems from zero. The candidate demonstrates full-stack capability with backend focus and AI integration. Missing React experience (frontend framework) is a gap, and TypeScript is not explicitly mentioned. The salary range (R$3.5-6K PJ Pleno) is likely below the candidate's experience level, but the role itself is a strong technical match. **Strengths:** Direct match: n8n, Zapier, Make.com automation tools, Direct match: OpenAI and Anthropic API experience, Built complete systems from scratch (scraper + orchestrator + web + CMS), PostgreSQL production experience **Missing Required:** React (frontend framework), TypeScript

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] The candidate has strong AI/GenAI practical experience and excellent communication skills (technical-business translation). However, the role requires solid Java AND Python development, plus specific Copilot implementation/deployment experience. The candidate has Python but no Java, and no Copilot-specific experience. The role is at a consulting-style company (DBC Company) that places engineers at clients, which has mixed signals. The emphasis on 'software development with Java and Python' as a solid requirement is a significant gap. **Strengths:** Practical GenAI application building experience, Strong communication and technical translation, Proactive AI adoption mindset matches role **Missing Required:** Java (solid requirement), Copilot (implementation and usage)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] The candidate has relevant overlap in Python, SQL, AI pipeline design, RAG, embeddings, vector databases, prompt engineering, and LLM APIs. The Mechatronics Engineering degree fits 'Engineering or related fields.' However, the role requires deep data science skills (ML model training, scikit-learn, XGBoost, statistical modeling, NLP) that the candidate does not demonstrate — the candidate uses AI APIs but doesn't train models. Missing ML/statistical modeling depth is significant. The legal/IP domain is neutral. **Strengths:** Python and SQL proficiency, RAG architecture experience (differential), LLM API and prompt engineering experience (differential), Engineering degree matches requirement, Business translation ability matches soft skills **Missing Required:** ML model development and training, Statistical modeling experience, Data science methodology (EDA, feature engineering)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-6] This senior data scientist role requires deep ML/GenAI expertise plus specific technical requirements the candidate doesn't meet: WebRTC/SIP/WebSockets for voice/audio, Kubernetes, GCP cloud, vector databases at production scale, and agent frameworks (Google ADK, CrewAI). The candidate has Python, Go (matches backend requirement), LangChain experience, and Docker. However, the voice/audio protocol requirement is a critical domain gap, and the Kubernetes/GCP requirements are missing. The 'Data Scientist' framing implies model training and evaluation skills the candidate lacks. **Strengths:** Go backend language matches requirement, LangChain experience, Docker experience, Python proficiency **Critical Gaps:** Voice/Audio protocols (WebRTC, SIP, WebSockets) — completely different domain **Missing Required:** Voice and audio protocol experience, Kubernetes, GCP cloud, Vector database production experience, Agent framework experience (Google ADK, CrewAI)

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate has strong LangChain, RAG, and SQL experience which matches the LLM tooling requirements. However, the role requires deep data science foundations (predictive modeling, statistical analysis) which are absent. Missing core data manipulation tools like Polars/Pandas and Kubernetes. **Strengths:** LangChain, RAG, SQL **Missing Required:** Supervised/unsupervised learning techniques, Predictive modeling, Statistical analysis

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate matches Python, NLP/LLM concepts, and CI/CD pipelines. However, lacks the requested traditional ML frameworks (TensorFlow, PyTorch) and specific years of formal AI engineering experience. BairesDev ATS looks for exact keyword and title matches. **Strengths:** Python, LLM integration, CI/CD **Missing Required:** 4+ years formal ML/AI experience, Deep ML framework expertise

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] Candidate has zero experience in Computer Vision, image classification, object detection, or the related frameworks (PyTorch, YOLO, OpenCV). This is a completely different domain within AI than the candidate's LLM/API orchestration experience. **Strengths:** Python **Critical Gaps:** Computer Vision, CNNs, Image Classification **Missing Required:** 3+ years Computer Vision experience, CV Models, Vision libraries