Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Strong match: candidate has Python, RAG architecture (built AI scoring pipeline with RAG concepts), LangChain in skills, vector databases conceptually via embedding models, FastAPI-adjacent knowledge. Financial/insurance domain experience from early career. Missing PyTorch/TensorFlow and vector DB specifics (Pinecone, FAISS, Milvus). Add LangChain project details and vector similarity search implementation to resume. **Strengths:** RAG architecture hands-on, Python + FastAPI ecosystem, LangChain, Financial services domain **Missing Required:** Technology degree (has Engineering which should qualify), Agile/Scrum formal experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Candidate has SQL, PostgreSQL, data pipeline concepts, and some BI experience via KPI design and reporting. However, role requires deep Microsoft stack (Azure, SQL Server, Power BI, DAX) which candidate lacks. No Azure certifications, no Power BI experience. The ITIL mention and certification requirements suggest enterprise process-heavy environment. **Strengths:** SQL/PostgreSQL, Data pipeline concepts, Analytical mindset **Critical Gaps:** Microsoft/Azure data stack expertise **Missing Required:** Solid Data Engineering experience, Power BI practical experience, Azure ecosystem

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is low due to a critical gap in the required cloud data platform (Azure Databricks/Data Lake) and processing engine (Spark). While the candidate knows Python, SQL, and even Go (a listed skill), the lack of experience in the specific Azure data ecosystem is a dealbreaker for a Data Engineering role focused on it. **Strengths:** Go, Python, SQL **Critical Gaps:** Azure (Databricks, Data Lake) **Missing Required:** Data Engineer title

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Candidate has Python, SQL, PostgreSQL, Git, and some data pipeline concepts. However, role requires deep Azure Databricks expertise, CI/CD with GitHub Actions specific experience, and data modeling at scale. The MDM and governance focus suggests enterprise environment. Missing core Azure and Databricks competencies. **Strengths:** Python, SQL, Git, CI/CD concepts **Critical Gaps:** Azure Data Services ecosystem **Missing Required:** Azure Databricks solid experience, Cloud migration project experience

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is very low because of a critical, blocking requirement: 'experiência sólida na plataforma Blip (mandatório)'. The candidate has deep experience building custom AI solutions but lacks any experience with this specific, mandatory low-code chatbot platform. This makes him unqualified for this particular role. **Strengths:** Understanding of conversational AI principles (inferred), API integration skills **Critical Gaps:** Blip platform experience **Missing Required:** Chatbot developer experience

[ANALYSIS_REPORT] **TOP** [Opencode: opus-4-5] Excellent match: candidate has n8n expertise, Claude API integration, webhook/API design, JSON data parsing, automation architecture, and workflow logic experience. GoHighLevel is learnable given strong automation foundation. Medical industry is new but candidate adapts across domains. The role values systems thinking and automation - direct alignment with candidate strengths. **Strengths:** n8n mastery, Claude AI API integration, Complex workflow automation, API/webhook architecture, JSON data handling

[ANALYSIS_REPORT] **LOW** [2.5-Pro] This role requires a full-stack skill set, combining AI/LLM backend development with a modern frontend stack (React, Next.js, TypeScript). The candidate is a perfect fit for the AI/backend portion but has a critical gap in the required frontend technologies. His experience is with Vanilla JS, which is not equivalent. **Strengths:** AI/LLM Application Development, Python, Cloud Deployment **Critical Gaps:** React, Next.js, TypeScript

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is extremely low due to a complete domain mismatch. This is a senior role in corporate network engineering (LAN, WAN, SD-WAN) and requires certifications in specific hardware like Cisco and Juniper. The candidate's expertise is in software systems, automation, and AI infrastructure, which is entirely different. **Critical Gaps:** Network Engineering domain expertise **Missing Required:** CCNA/CCNP certifications

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The score is zero due to a critical platform mismatch. The role requires a senior expert in the Oracle Fusion Cloud ERP ecosystem. While the candidate has deep ERP experience with TOTVS, this is not transferable to a senior role on a completely different, complex platform like Oracle Fusion. The lack of any Oracle-specific keywords is an immediate disqualifier. **Strengths:** General ERP experience (on TOTVS) **Critical Gaps:** Oracle Fusion Cloud ecosystem **Missing Required:** 10+ years in Oracle ERP projects

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Role requires formal architecture frameworks (TOGAF/FEAF/Zachman certification), enterprise insurance domain depth, CRM tools (Creatio), and Spanish language. Candidate has architecture thinking but lacks formal certifications, insurance domain expertise, and Spanish. MetLife is large enterprise with formal processes - cultural mismatch. **Strengths:** Systems architecture thinking, Cloud concepts, Agile exposure **Critical Gaps:** Formal architecture certification required, Insurance industry experience **Missing Required:** Architecture framework certification, Intermediate Spanish

[ANALYSIS_REPORT] **LOW** [gemini-3.1-pro-preview] The candidate lacks the required enterprise architecture frameworks (TOGAF) and deep ecosystem experience (Java, Telecom BSS/OSS) necessary for this role. The ATS will likely flag the missing Computer Science degree and absence of formal corporate 'Solutions Architect' titles. To improve, the candidate would need to reframe their engineering experience into standard enterprise architecture terminology, though the gaps are too wide for this specific corporate environment. **Strengths:** Node.js, Docker, AWS **Critical Gaps:** TOGAF, Telecom BSS/OSS, Java/Spring Boot **Missing Required:** Computer Science Degree, Enterprise Solutions Architecture experience

[ANALYSIS_REPORT] **LOW** [gemini-3.1-pro-preview] This is a pre-sales role heavily focused on enterprise governance, RFPs, and official cloud certifications. The candidate does not hold the required AWS Professional/Expert certifications or frameworks like ITIL/COBIT. The hands-on builder profile directly clashes with this theoretical, C-level presentation and governance-heavy role. **Strengths:** Business-to-technical translation, Cost optimization (constraint-based) **Critical Gaps:** AWS/Azure Professional Certifications, ITIL, COBIT **Missing Required:** Enterprise Pre-sales experience

[ANALYSIS_REPORT] **MEDIUM** [gemini-3.1-pro-preview] The candidate has strong fundamentals for this role due to their Mechatronics/Industrial background and experience bridging business with tech. However, the ATS will dock points for the lack of a formal 'Solutions Architect' title. Modifying the resume to map the independent consultant and Head of Engineering experience to 'Solutions Architecture' will significantly help. **Strengths:** Industrial technology familiarity, Business-to-technical translation, AI integration **Missing Required:** Formal Solutions Architect Title

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Role requires deep SAP expertise across modules (S/4HANA, ECC, etc.), SAP certification, and SAP pre-sales experience. Candidate has no SAP experience whatsoever. This is a completely different domain - enterprise ERP consulting vs. systems automation. Hard filter applies. **Critical Gaps:** SAP ecosystem expertise - completely different domain **Missing Required:** SAP implementation experience, SAP pre-sales experience

[ANALYSIS_REPORT] **LOW** [gemini-3.1-pro-preview] This is heavily focused on corporate digital self-service architecture, requiring microservices, event-driven architectures, and API Gateways at an enterprise scale. The candidate's background is too scrappy and lacks the formal senior enterprise architecture pedigree required here. **Strengths:** Observability, Integration **Critical Gaps:** Enterprise Governance, Formal Senior Architect Title **Missing Required:** Corporate IT strategy alignment

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Role requires deep MongoDB expertise including architecture patterns, optimization, pre-sales experience, and MongoDB-specific solution design. Candidate uses PostgreSQL but has no MongoDB experience. Pre-sales solution architecture role requires brand-name enterprise experience and sales collaboration skills not demonstrated. **Strengths:** PostgreSQL (different database but database concepts exist) **Critical Gaps:** MongoDB platform expertise - role is MongoDB-specific **Missing Required:** MongoDB architecture experience, Pre-sales track record

[ANALYSIS_REPORT] **HIGH** [Opencode: opus-4-5] Excellent match: candidate has supply chain domain expertise (Pronutri, Electrolux), Python, SQL, data analytics, demand forecasting, statistical analysis, and ETL concepts. MIT Supply Chain MicroMasters provides formal credential. Missing specific o9 platform experience but strong domain transferability. Role values supply chain + technical combination which candidate uniquely offers. **Strengths:** Supply chain domain expertise, Statistical forecasting, Python + SQL, Demand planning experience, MIT Supply Chain credential **Missing Required:** Master's degree (has Bachelor + MicroMasters which may qualify), Supply planning product implementation

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Candidate has infrastructure deployment experience, Linux, cloud concepts, client-facing documentation, and integration work. Digital asset/crypto domain has some overlap with prior CryptoCall experience. However, role requires deep security architecture for digital assets, multi-vendor integration management, and formal solution architecture background not demonstrated. **Strengths:** Infrastructure deployment, Linux, Client documentation, Crypto domain exposure **Missing Required:** Solutions Architect title/experience, Digital asset platform expertise

[ANALYSIS_REPORT] **LOW** [gemini-3.1-pro-preview] This role is strictly built around the SAP S/4HANA ecosystem. The candidate's ERP experience is exclusively in TOTVS. Without SAP S/4HANA (IDoc, BAPI), the resume will be immediately discarded. **Strengths:** ERP data sanitization, REST APIs, OIDC/OAuth2 **Critical Gaps:** SAP S/4HANA, IDoc, BAPI, SAP CPI **Missing Required:** SAP integration experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Role requires deep Salesforce ecosystem expertise including Salesforce Industries (Vlocity), EPC, CPQ, CLM, Order Management. Candidate has no Salesforce experience whatsoever. This is a specialized platform role requiring years of Salesforce-specific career development. **Critical Gaps:** Salesforce ecosystem - completely different platform domain **Missing Required:** Salesforce Solution Architect experience, Salesforce Industries (Vlocity) expertise

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Role requires deep SAP expertise including SAP pre-sales, implementation governance, SAP-specific functional requirements, and SAP portfolio knowledge. Candidate has no SAP experience. This is enterprise SAP consulting requiring years of SAP-specific career development. **Critical Gaps:** SAP ecosystem expertise - completely different domain **Missing Required:** SAP implementation experience, SAP pre-sales experience, SAP architecture knowledge

[ANALYSIS_REPORT] **LOW** [gemini-3.1-pro-preview] This role explicitly requires TOGAF, Azure, and C#/Java in a mission-critical educational environment. The candidate's stack (Go/Node/Python/AWS/Linux) does not align with the Microsoft-heavy enterprise requirements. **Strengths:** Node.js, API architecture **Critical Gaps:** Azure, TOGAF, C#, Java **Missing Required:** Enterprise Architecture 4.0

[ANALYSIS_REPORT] **LOW** [gemini-3.1-pro-preview] This is a specialized Salesforce Architect role. The candidate has absolutely no Salesforce platform experience (Apex, LWC). **Strengths:** Data modeling, REST API integration **Critical Gaps:** Salesforce, Apex, LWC, Flows **Missing Required:** Salesforce Architecture

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This SAP Business Solution Architect role is highly specialized around SAP landscapes, governance, and blueprinting, whereas the candidate’s ERP experience is with TOTVS and more focused on data quality and reporting rather than SAP-specific architecture. ATS will heavily favor resumes with SAP solution architecture, fit-gap analysis, and project governance keywords, which are absent here. While some ERP concepts transfer, the specialization gap is large. **Strengths:** ERP data-quality remediation and validation-rule design (TOTVS), Stakeholder management and root-cause analysis in complex operational systems, Experience with governance cadences and KPI reporting **Missing Required:** Several years of solution architecture experience in SAP contexts, Deep SAP functional requirements and pre-sale governance experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] This Solutions Architect role is centered on mainframe modernization with the Rocket Enterprise Portfolio, an area where the candidate has no direct experience. While the candidate is strong in systems architecture and business-technical translation, ATS will look for mainframe, Rocket, and related modernization keywords that are missing. The domain gap makes this a poor match despite general architecture skills. **Strengths:** Strong systems-architecture mindset and business-technical bridge capability, Experience conducting technical discovery, presentations, and training-like communication **Critical Gaps:** No experience with mainframe or Rocket Enterprise Portfolio modernization, which is core to this role. **Missing Required:** Hands-on design of scalable, high-availability solutions on Rocket Enterprise Portfolio and Enterprise Server, Experience leading mainframe modernization or comparable legacy-platform transformation projects