Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Automatic disqualification due to the job's affirmative requirement for women (hard demographic filter). Ignoring that, the candidate is a strong match on systems architecture, SQL/ERP dataflows, automation and finance-related analytics but lacks key UI/framework skills listed in the JD. **Critical Gaps:** - Job is an affirmative role for women — candidate is male (disqualifying) **Strengths:** - Systems architecture and end-to-end automation - ERP dataflows, procurement/inventory optimization and KPI-driven governance - Quantitative development / trading strategies and data-driven decisioning **Missing Required:** Windows Forms, React, Angular

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong match on systems architecture, automation, and modern programming (Python, Go, SQL) with recent hands-on delivery experience, but the resume lacks explicit production DevOps infrastructure experience (Kubernetes, cloud platforms, IaC, CI/CD). Those missing core infra skills materially reduce fit for a Senior DevOps Engineer role. **Critical Gaps:** - Production Kubernetes cluster management - Cloud platform experience (AWS or GCP) - Infrastructure as Code (Terraform) **Strengths:** - Systems architecture & automation with recent hands-on delivery - Strong programming skills (Python & Go) and data/SQL experience - Domain knowledge in ERP, procurement, and enterprise dataflows **Missing Required:** Kubernetes in production, AWS or GCP experience, Terraform, CI/CD pipelines (explicit tooling experience), Docker / container orchestration, Shell scripting

[ANALYSIS_REPORT] **LOW** [Copilot: GPT4.1] The candidate demonstrates strong systems architecture, automation, and SQL/database experience, with a clear trajectory toward technical and AI roles. However, there is no direct evidence of .NET, C#, Azure, or modern frontend frameworks (Angular/React), which are core requirements for this position. The candidate's fast learning and automation track record are strengths, but the lack of hands-on .NET/Azure experience is a significant gap. **Critical Gaps:** - .NET/C#/Azure stack experience - BLOCKING **Strengths:** - Systems architecture and automation - SQL/database and reporting - Proven fast learner with technical progression **Missing Required:** .NET, C#, Azure, ASP.NET, Angular/React, MVC, Entity Framework

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Strong systems-architecture and automation background with proven production automation (Python, Go, SQL) plus required degree and C2 English. Major, explicit DevOps requirements (Kubernetes in production, cloud platform experience, IaC, containerization and CI/CD) are missing, preventing a senior DevOps fit without upskilling. **Critical Gaps:** - Kubernetes (production cluster management) - BLOCKING - Cloud platforms: AWS or GCP (infrastructure/automation) - BLOCKING - Terraform (IaC tooling) - BLOCKING - CI/CD pipelines (build/deploy automation) - BLOCKING - Docker / containerization (container lifecycle & orchestration) - BLOCKING **Strengths:** - Systems architecture and automation (delivered production workflows) - Strong programming skills in Python and Go - Domain knowledge in ERP, procurement and supply-chain analytics enabling cross-functional collaboration **Missing Required:** Kubernetes in production, AWS or GCP (hands-on), Terraform or equivalent IaC, Established CI/CD pipeline experience, Containerization (Docker), Shell scripting for automation

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong systems architecture, automation, and analytics experience, with a clear trajectory toward technical roles. However, there is no explicit or inferred experience with Grafana, AWS, or DevOps-specific tooling, which are core requirements. The candidate's fast learning and automation skills are strengths, but the lack of direct DevOps, Grafana, and AWS experience is a significant gap for this role. **Critical Gaps:** - No direct or inferred experience with Grafana or AWS cloud infrastructure - BLOCKING **Strengths:** - Automation and process optimization - Quantitative and analytical skills - Career progression toward technical/AI roles **Missing Required:** Grafana hands-on experience, AWS cloud infrastructure experience, DevOps best practices

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] The candidate demonstrates strong systems architecture, automation, and AI infrastructure experience, with a clear trajectory toward technical and AI-focused roles. There is evidence of hands-on AI/ML work (self-hosted LLM clusters, algorithmic trading bots), advanced English, and stakeholder communication, but lacks explicit pre-sales/consulting experience, Microsoft Fabric/Azure familiarity, and direct IT services/consultancy background. Most core requirements are met or inferred, but some nice-to-haves and domain-specific experience are missing. **Strengths:** - AI/ML systems architecture - Automation and process optimization - Advanced English and stakeholder communication **Missing Required:** Direct pre-sales/solution consulting experience, Microsoft Fabric/Azure ecosystem

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong match on systems architecture, automation, Python and supply-chain/ERP domain experience with recent, hands-on production work; however the role requires explicit pre-sales leadership and 3+ years designing AI/ML solutions (Generative AI/LLMs, RAG) plus Azure/Microsoft Fabric familiarity, which are not demonstrated. Candidate shows high potential but lacks several role-critical experiences. **Critical Gaps:** - Proven pre-sales leadership (leading technical responses to RFPs/RFIs) - BLOCKING - Hands-on Generative AI / LLM design and RAG experience - BLOCKING - Microsoft Fabric / Azure familiarity required by role - BLOCKING **Strengths:** - Systems architecture & automation with recent production deployments - Domain expertise in procurement/ERP and supply-chain analytics - Strong Python/engineering and quantitative background (algorithmic trading, reporting) **Missing Required:** 5+ years pre-sales, solution consulting or technical account management, 3+ years designing AI and ML solutions (Generative AI/LLMs focus), Familiarity with Microsoft Fabric and Azure

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong systems architecture, automation, and dataflow experience, with a clear trajectory toward technical and AI infrastructure roles. There is evidence of full-stack and backend automation, advanced SQL, cloud familiarity (AWS cert in progress), and stakeholder alignment, but no direct experience with React, modern CMS, MACH, or explicit cloud-native deployments. The candidate's fast learning and self-taught record suggest high adaptability, but gaps remain in specific frontend, CMS, and composable architecture technologies. **Strengths:** - Systems architecture and automation - Advanced SQL and dataflow optimization - Stakeholder alignment and governance **Missing Required:** React, Modern CMS, MACH architecture, Cloud-native deployments

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong match on automation, systems architecture and ERP integrations (recent, production-scale inventory automation) which are highly relevant to the role; however the resume does not show hands-on experience with the platform and stack explicitly required (n8n, Node.js / JavaScript) which reduces immediate fit for a Low-Code n8n specialist. Transferable backend/API and integration experience makes the candidate trainable but not an immediate plug-and-play hire for this specific opening. **Critical Gaps:** - n8n platform expertise (explicit experience required by role) - Node.js / JavaScript development experience **Strengths:** - Recent, production-grade automation of inventory and procurement workflows - Deep ERP integration and dataflow experience (TOTVS) with measurable impact - Systems architecture and end-to-end automation delivery **Missing Required:** n8n (required), Node.js (required), CRM integrations specifically Bitrix24 or Kommo (required), Familiarity with WeWeb/Supabase or equivalent (required)

[ANALYSIS_REPORT] **LOW** [2.5-Pro] Candidate is a strong systems builder but has critical gaps in the required AWS ML stack and regulated fintech experience. The listed skills are in a completely different domain (self-hosted/general automation) than the job's core (serverless AWS MLOps and PCI). **Critical Gaps:** - Cloud MLOps (AWS SageMaker/Serverless vs. self-hosted/on-prem) - PCI DSS Compliance **Strengths:** - Systems Architecture & Automation - Proven ability to translate business needs into technical solutions - Strong engineering fundamentals (reliability, governance) **Missing Required:** Amazon SageMaker, AWS Step Functions, PCI DSS Level 1, DynamoDB

[ANALYSIS_REPORT] **MEDIUM** [2.5-Pro] The candidate shows strong systems thinking and proven skill in algorithm design and Python, which are core to the role. However, there is a critical gap in direct experience with modern deep learning frameworks and model optimization techniques. **Critical Gaps:** - Lacks hands-on experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and specific model optimization techniques (RLHF). **Strengths:** - Systems Architecture & Automation - Algorithmic Optimization & Design - Proven Fast Learner in technical domains **Missing Required:** Deep expertise in model efficiency, distributed systems, or hardware acceleration., Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)., Knowledge of model optimization techniques (RLHF, finetuning).

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate is a strong systems architect with valuable automation experience, but has a critical and total gap in the required SAP technology stack. His background is in a completely different domain (Go, Python, TOTVS) from the job's non-negotiable requirements for ABAP and Fiori. **Critical Gaps:** - ABAP Development (Cloud & Classic) - SAP Fiori / UI5 Development - SAP S/4HANA Experience **Strengths:** - Systems Architecture - Process Automation - Proven Fast Learner **Missing Required:** 5+ anos de experiência em desenvolvimento ABAP, ABAP Cloud, RAP (Restful ABAP Programming Model), SAP Fiori / SAP UI5, Fiori Elements, CDS Views, OData Services, AMDPs, SAP S/4HANA, Eclipse ADT

[ANALYSIS_REPORT] **LOW** [2.5-Pro] The candidate is a proven systems architect and fast learner but has zero experience in the required SAP ecosystem. The role demands deep specialization in ABAP and Fiori, which represents a critical and disqualifying skill gap. **Critical Gaps:** - The role requires a senior SAP developer (ABAP/Fiori), while the candidate's experience is in a completely different technology stack (Go, Python, custom systems) and ERP (TOTVS). **Strengths:** - Strong systems architecture and process automation background - Proven ability to translate business needs into technical solutions - Demonstrated fast learner across multiple complex domains **Missing Required:** 5+ anos de experiência em desenvolvimento ABAP, RAP (Restful ABAP Programming Model), Domínio de SAP Fiori / SAP UI5, Conhecimento em CDS Views, OData Services, AMDPs, Experiência com SAP S/4HANA

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong automation, systems architecture, and API integration experience, with direct evidence of building automated workflows and integrating ERPs. Python, SQL, and process optimization are present, but there is no explicit experience with n8n, webhooks, or JavaScript for n8n Code Nodes. The candidate's trajectory and fast learning are strong, but the lack of hands-on n8n and webhook experience is a notable gap for this specialist role. **Critical Gaps:** - No direct n8n experience - No explicit webhook implementation **Strengths:** - Automation and process optimization - API and ERP integration - Python and SQL for automation **Missing Required:** n8n workflow development, Webhooks (practical experience)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong systems-architecture and automation background with recent, hands-on delivery of an automated procurement/inventory system makes the candidate well-suited for workflow planning and API-backed integrations. However, the resume lacks explicit, demonstrable experience with n8n and hands-on webhook/OAuth2 work which are mandatory for this role, reducing the fit. **Strengths:** - Recent, direct experience designing and running an automated procurement/inventory system - Systems architecture and end-to-end automation delivery - Practical Python and SQL skills for integration and data processing **Missing Required:** Domínio de n8n (required), Practical experience configuring and troubleshooting webhooks

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Candidate is a strong match for backend, Python, systems architecture, automation and SQL with recent production experience, but lacks demonstrated hands-on experience with deep learning/LLMs, LLM orchestration (LangChain/LlamaIndex), vector databases, containerization/Kubernetes, and cloud model integrations which are core to this role. With targeted upskilling (PyTorch/TensorFlow, LangChain/RAG, Docker/K8s, vector DBs, cloud) the candidate could become a strong fit. **Critical Gaps:** - Hands-on deep learning / LLM engineering (critical for AI model work) - Experience with vector DBs and RAG pipelines (core to LLM product delivery) - Containerization and orchestration in production (Docker/Kubernetes) tied to CI/CD - Cloud-based model integration (AWS/GCP/Azure / Bedrock) for deployed LLMs **Strengths:** - Systems architecture and end-to-end automation for production workflows - Practical Python and SQL experience applied to business-critical systems - Proven delivery with measurable operational impact and strong stakeholder communication **Missing Required:** 5+ years explicit record with modern Python web frameworks (FastAPI/Flask/Django) in production, Deep learning frameworks (PyTorch or TensorFlow), Direct LLM usage and orchestration (LangChain/LlamaIndex or equivalent), Containerization (Docker) and orchestration (Kubernetes) in production, Vector database and RAG pipeline implementation experience, Cloud model integration experience (AWS/GCP/Azure)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong systems-architecture and production automation experience with recent hands-on work and solid Python/SQL skills make the candidate a reasonable fit for platform and deployment responsibilities. However, there is no evidence of hands-on LLM application development, retrieval/vector-search, TypeScript, or prompt-engineering experience — all core requirements for this role — which materially lowers the match. **Critical Gaps:** - Hands-on LLM application development and retrieval/vector-search experience (blocking) - TypeScript proficiency for production services (blocking) - Prompt engineering and evaluation tooling experience (blocking) **Strengths:** - Systems architecture & production automation with recent, applied delivery - Solid Python and SQL experience used to build production utilities - Proven ability to translate business requirements into deployed solutions and communicate with stakeholders **Missing Required:** Hands-on LLM applications, Retrieval systems / vector search, TypeScript, Prompt engineering & evaluation tooling, Tool/agent integration experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Candidate shows strong, recent systems-architecture and automation experience with solid Python and SQL usage and proven end-to-end integrations (ERP/middleware) that match most core job needs. Lack of explicit browser-automation experience (Selenium/Playwright) and missing web-backend/DevOps niceties reduces fit for this role focused on RPA/browser automation. **Strengths:** - Recent, demonstrable systems architecture + automation (end-to-end) with measurable impact - Practical Python and SQL experience applied to production workflows - Experience integrating ERP/middleware and building automation that reduced manual work **Missing Required:** Selenium/Playwright (browser automation frameworks)

[ANALYSIS_REPORT] **TOP** [Copilot: GPT4.1] The candidate demonstrates strong systems architecture, automation, and stakeholder communication skills, with direct experience building and integrating business-critical systems. While explicit API and OAuth experience is not directly stated, the candidate's history of building ERP dataflows, automating inventory systems, and translating business requirements into technical solutions strongly infers these skills. The candidate's career trajectory, technical breadth, and fast-learner evidence align well with the integration-focused, client-facing nature of the role. **Strengths:** - Systems architecture and automation - Stakeholder communication and governance - Proven ability to bridge business and technical needs **Missing Required:** Direct mention of OAuth or REST API development, CRM tool/platform experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong experience in automation, systems architecture, process optimization, and stakeholder communication, with advanced English and a proven record of self-learning and technical delivery. However, there is no direct experience with the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse, Copilot Studio), which is a core requirement for the role. The candidate's fast learning and technical breadth partially offset this, but the lack of hands-on Power Platform skills is a significant gap. **Critical Gaps:** - No direct Microsoft Power Platform experience **Strengths:** - Automation and systems architecture - Process improvement and reporting - Fast learner with strong technical foundation **Missing Required:** Hands-on experience with Power Apps, Power Automate, Dataverse, Copilot Studio

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Strong match on systems architecture, automation, Python and SQL, and domain experience in procurement/ERP and inventory automation which map well to the role’s integration and solution-design needs. Gaps are mostly in platform-specific tools (Pipefy, iPaaS) and some integration protocols/auth methods not explicitly shown but many required capabilities can be inferred from recent hands-on automation work. **Strengths:** - Systems architecture and end-to-end automation for procurement/inventory - Practical experience with Python and SQL for production dataflows - Domain expertise in ERP, procurement and inventory planning enabling fast stakeholder alignment **Missing Required:** No-Code / Low-Code configuration (explicit experience), iPaaS integrations (Workato / ActivePieces), Postman or equivalent API testing tooling, JavaScript (listed as required), Explicit authentication protocols (OAuth/JWT/API Key), FTP/SFTP

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates exceptional alignment with the role's requirements, showcasing deep technical expertise in systems architecture and automation using relevant languages (Python, Go), coupled with a strong problem-solving mindset and continuous learning aptitude. Their career trajectory and project history reflect a highly capable and adaptable engineer. **Strengths:** - Expertise in Systems Architecture, Automation, and Backend Development (Go, Python). - Strong foundation in Algorithms, Data Structures, and complex problem-solving with a proven fast-learning ability. - Excellent communication skills, autonomy, and a clear career progression in complex software domains.

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate is an exceptionally strong match, demonstrating extensive experience in operational and financial optimization, data analysis, and consulting, directly aligning with the job's core requirements. His proven track record in strategy, implementation, and process improvement, coupled with a fast-learner profile, exceeds expectations. **Strengths:** - Direct experience in consulting, operational optimization, and financial process analysis. - Strong analytical and quantitative abilities applied to business problem-solving. - Demonstrated capability in system architecture, automation, and strategic implementation.

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates strong analytical, automation, and AI/ML capabilities, with relevant experience in e-commerce and data integrity. However, there are critical gaps in the required deep expertise for the core web development tech stack (TypeScript, React, Node.js) and specific QA methodologies/tools for full-stack applications. **Critical Gaps:** - Deep expertise in TypeScript for full-stack web applications - Deep expertise in React for full-stack web applications - Deep expertise in Node.js for full-stack web applications **Strengths:** - Strong AI/ML Literacy and Data Pipeline Validation experience - Extensive experience in systems architecture, automation, and data integrity - Proven fast learner with a strong career trajectory towards technical/AI roles **Missing Required:** PySpark expertise, QA architecture and modern testing methodologies, Familiarity with NoSQL databases (e.g., MongoDB), Experience with Test Case Management (TCM) systems (e.g., TestRail, Zephyr, Xray, PractiTest, qTest), Experience with automated testing tools (e.g., Playwright, Cypress, Appium), Experience with infrastructure testing (deployments across AWS EC2, S3, Firehose and Cloudflare edge environments)

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate's extensive experience in systems architecture, automation, and software development is a poor match for a hands-on industrial electrician role. Crucially, the candidate does not meet the job's hard filter requiring residency in Itumbiara, Goiás. **Critical Gaps:** - Lack of direct hands-on industrial electrical experience. - Inability to meet geographic residency requirement (Itumbiara, Goiás). **Strengths:** - Strong background in Systems Architecture and Automation. - Proficiency in programming languages (Go, Python, SQL) and data analysis. - Mechatronics/Robotics Engineering degree. **Missing Required:** Conhecimento das Normas Regulamentadoras (NR's), Experiência comprovada em Ambientes Industriais (no papel de eletricista)