Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] The candidate meets the total years of experience (12) and the technical bridge requirements. However, AWS SAs are heavily gated by specific 'Principal' level architectural experience and deep AWS certification which are not on the resume. **Strengths:** English proficiency, Technical to Business bridge, Mechatronics thinking **Critical Gaps:** No 'Principal' or 'Architect' professional title **Missing Required:** 10+ years specific technology domain experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Strong systems and infrastructure background aligns with cloud architecture needs, but lacks specific Microsoft Azure certification and sales/pre-sales experience required. ERP experience with TOTVS provides some enterprise systems knowledge. **Strengths:** systems architecture, ERP knowledge, technical problem solving **Critical Gaps:** formal pre-sales role, Microsoft cloud certifications **Missing Required:** Azure certification, pre-sales experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4] Systems engineering background and infrastructure experience align well with data center/telecom solutions. Strong technical problem-solving skills match solution architecture needs, though lacks specific telecom and RFP experience. **Strengths:** infrastructure design, technical solutions, systems architecture

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Strong match for systems integration and architecture experience. Financial background aligns with banking domain. API integration experience and systems thinking are valuable, though lacks specific cloud certifications and formal financial services architecture experience. **Strengths:** systems integration, financial domain knowledge, API experience

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Cloud architecture experience and systems automation align well with AWS solution architecture. Strong technical problem-solving and automation background match pre-sales technical requirements, though lacks specific AWS certifications. **Strengths:** cloud automation, technical architecture, cost optimization mindset **Missing Required:** AWS Solutions Architect certification

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] The candidate's 12 years of total experience and 4-5 years of technical projects match the requirements well. The role values API management and technical leadership which the candidate has shown as a founder. **Strengths:** Technical leadership, API integration, Cloud platforms knowledge **Missing Required:** 5-6 years experience in IT

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate is an expert in data transformation and remediation (ERP turnarounds), but lacks the specific Apache NiFi and XML/XPath technical requirements for this role in Portugal. **Strengths:** Italian/EU Citizenship, Data transformation expert, Fluent English **Critical Gaps:** No NiFi experience **Missing Required:** At least 2 years experience with Apache NiFi

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate has Python and AI experience, but the talent pool is for game development (C++/C#, Unity/Unreal). The candidate has no experience in game engines or real-time rendering. **Strengths:** Python, AI, English proficiency **Critical Gaps:** No game development experience **Missing Required:** Shipped at least one title on PC, console, or mobile

[ANALYSIS_REPORT] **TOP** [Copilot: Sonnet4] Excellent match for platform engineering role. Infrastructure automation, Kubernetes experience inferred from LLM clusters, cost optimization mindset, and hands-on systems approach align perfectly with requirements. Strong startup culture fit. **Strengths:** infrastructure automation, cost optimization, platform thinking

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] The candidate's profile as a backend/integration engineer (Python, Node, SQL) matches the integration focus here. The candidate's history of untangling systems and managing multi-tenant e-commerce data is a strong adjacent match. **Strengths:** Python/Node.js backend, Data integration specialist, English proficiency **Missing Required:** 7+ years of backend or integration engineering experience

[ANALYSIS_REPORT] **HIGH** [3-Flash] This role is a high-level technical advisor role for OpenAI. The candidate's specific 'Technical Translation' skill and hands-on LLM integration (Job Market tool) make them a strong candidate for an 'AI Success Engineer' role which values non-traditional problem solvers. **Strengths:** Hands-on OpenAI API integration, Technical to C-level communication, Mechatronics/Systems thinker **Missing Required:** 8+ years of experience in technical customer facing roles

[ANALYSIS_REPORT] **LOW** [3-Flash] Candidate lacks the Computer Vision expertise (YOLO, OpenCV, CNNs) mandatory for this specialized AI role. **Strengths:** Python, AI integration **Critical Gaps:** No Computer Vision experience **Missing Required:** 3+ years professional experience as an AI/CV Engineer

[ANALYSIS_REPORT] **LOW** [3-Flash] While the candidate has Python and AWS skills, they lack the MLOps tooling (K8s, Docker, Feature Stores, Model Registries) and the formal MLE title required by Ria. **Strengths:** Python, AWS, Monitoring experience **Critical Gaps:** No professional ML Engineering experience, Missing MLOps toolset **Missing Required:** 5+ years of experience as a Machine Learning Engineer

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate has Python skills, but lacks the formal 'Machine Learning' career track and specific experience with Spark and deep learning architectures (CNNs/Transformers) requested by BairesDev. **Strengths:** Python, English proficiency **Critical Gaps:** No deep learning professional experience **Missing Required:** 5+ years of experience in Machine Learning

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Strong technical background with Python and systems experience. LLM integration work aligns with AI/ML focus. Docker and cloud experience match requirements. Junior level expectation works despite non-traditional background. **Strengths:** Python experience, LLM integration, systems engineering

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] This 'Junior' role is a good entry point. The candidate's 'Statistical forecasting' and 'Demand modeling' from Electrolux/Pronutri are strong precursors to ML modeling. Python and Evaluation skills match well. **Strengths:** Python, Demand modeling background, English/Portuguese bilingual

[ANALYSIS_REPORT] **LOW** [3-Flash] Candidate lacks the specific ML specialization in recommender systems and ranking algorithms. **Strengths:** Python, Advanced analytics **Critical Gaps:** No ML Engineering professional experience **Missing Required:** 5+ years of professional experience in ML Engineering

[ANALYSIS_REPORT] **LOW** [3-Flash] Candidate lacks the specialized ML background required for this Applied ML role. **Strengths:** Python **Critical Gaps:** No ML Engineering experience **Missing Required:** 5+ years professional experience in ML Engineering

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Systems engineering background with data pipeline experience aligns with MLOps requirements. Python and automation experience are valuable. Good culture fit with engineering-focused company, though lacks formal ML background. **Strengths:** pipeline automation, systems engineering, Python experience

[ANALYSIS_REPORT] **MEDIUM** [3-Flash] The candidate is local to São Paulo and strong in Python/SQL. However, the role is 100% focused on Databricks and PySpark, which are not listed on the resume. **Strengths:** Local to São Paulo (Hybrid), Python, SQL, Fluent Portuguese **Critical Gaps:** No Databricks/PySpark experience **Missing Required:** Strong hands-on experience in Databricks

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Excellent match for data engineering role. Strong Python, data pipeline, and Azure experience. Systems background with ERP and data integration aligns well with enterprise data engineering needs. **Strengths:** data pipeline experience, Python proficiency, systems integration

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Strong data engineering background with Python and systems experience. Medallion architecture and pipeline automation align with requirements. Good match for pleno level expectations. **Strengths:** Python pipelines, data integration, systems architecture

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4] Data engineering and automation experience align with AI specialist role. Python and systems background are relevant. Shopping center domain is different but technical skills transfer well. **Strengths:** data automation, Python experience, systems thinking

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate matches the Python and SQL requirements, but the lack of Apache Spark and Azure experience is a major gap for this Senior Data role at EPAM. **Strengths:** Python, English proficiency, Data science principles **Critical Gaps:** No Spark experience, No Azure experience **Missing Required:** Expertise in Apache Spark, Microsoft Azure, and Python

[ANALYSIS_REPORT] **LOW** [3-Flash] The candidate's AI/LLM integration skills are a good match for the 'AI' part of the role, but the role requires Snowflake and specific data warehousing seniority that the candidate lacks. **Strengths:** LLM integration, SQL, Python **Critical Gaps:** No Snowflake experience **Missing Required:** Hands-on experience with Snowflake