Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate has strong full-stack experience (Python, Node.js) and a background in financial systems and automation, which are highly relevant. While direct blockchain/Web3 experience is limited, his proven ability to learn complex technical domains and build real-time systems makes him a promising candidate, but the lack of explicit Go/Rust is a deduction. **Strengths:** Strong Python and Node.js development skills, Financial domain knowledge and system building, Proven ability to automate complex workflows **Inferred Skills:** Full-stack software engineering, Backend services development, Financial/treasury systems (from trading bots), CI/CD pipelines (from self-hosted LLM clusters, automation), Observability tools (from real-time monitoring dashboards) **Missing Required:** Proficient in Go programming language, Proficient in Rust programming language **Missing Nice-to-Have:** Comfort with Docker, Kubernetes/containers, Understanding of smart contracts and solidity

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates strong leadership, people management (as a founder), and operational excellence through building and maintaining automated e-commerce systems. His experience in clarifying needs, defining success criteria, and governance calls aligns well with the coordinator role, despite not holding a formal 'Project Management Coordinator' title. The fast learner bonus and relevant career progression are also strong assets. **Strengths:** Demonstrated people leadership and team development, Strong operational discipline and process improvement, Excellent client management and communication skills **Inferred Skills:** People leadership and team management, Performance management and metrics definition, Delivery governance and adherence **Missing Nice-to-Have:** PMP or equivalent certification

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Strong match on systems architecture, AI/infra, leadership, data-quality and automation but lacks the core required skillset for this role: multi-year C++ development and explicit real-time C++ application experience. Candidate is otherwise highly qualified for backend/infra or AI-infrastructure roles, but C++ is a blocking gap for this specific position. **Critical Gaps:** - Senior C++ development experience (multi-year, hands-on) - BLOCKING **Strengths:** - Proven systems architecture and AI/infra (self-hosted LLM clusters, infra ops) - Operational automation and data-quality leadership (ERP, procurement automation) - Cross-functional communication and governance with exec-level stakeholders **Missing Required:** 5+ years practical C++ development, Proven deliverables of real-time C++ applications (as developer/owner)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate is an exceptional match for this role, with direct, hands-on experience in building complex automation workflows using Make.com, API integrations, and troubleshooting. His background as a founder with a focus on scalable automation and LLM integration, combined with his 'fast learner' trait, makes him highly suitable for owning and optimizing operational systems. **Strengths:** Direct experience with Make.com and API integrations, Proven ability to build and optimize automated systems, Strong problem-solving skills with AI integration experience **Inferred Skills:** Workflow Architecture, System Integration, Troubleshooting & Reliability, AI Implementation, Documentation & Reporting **Missing Nice-to-Have:** CRM tools (e.g., GoHighLevel), Lightweight app builders (e.g., Replit)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong match on senior engineering experience, cloud/CI-CD, databases, AI infrastructure (self‑hosted LLMs) and demonstrated product/ops automation; however the candidate lacks explicit .NET/C# and documented experience implementing code agents or the specific AI engineering tooling named in the JD, which are core requirements. **Critical Gaps:** - .NET/C# experience (meaningful experience required) - BLOCKING - Experience implementing code agents (explicit requirement) - BLOCKING **Strengths:** - Proven AI infrastructure & self‑hosted LLM cluster experience - Built automation-first procurement and e‑commerce systems in production - Strong cloud/CI-CD, database and rapid delivery track record **Missing Required:** Meaningful .NET (C#) experience, Documented experience implementing code agents, Direct experience with named AI engineering tools (OpenAI Codex, Claude Code, Gemini CLI)

[ANALYSIS_REPORT] **LOW** [2.5-Flash] This position requires an on-site presence in Brasília, which is a hard geographic filter for the candidate located in São Paulo. Furthermore, critical required skills related to Senior Systems HCM, eSocial, LGPD, and JasperReports are missing, leading to disqualification. **Strengths:** Root Cause Analysis, ERP Integration (general), Technical Communication **Critical Gaps:** Presencial location in Brasília, Specific knowledge of Senior Systems HCM **Missing Required:** Sustentação funcional e técnica dos módulos HCM da Senior Sistemas, Garantir conformidade legal, incluindo eSocial, LGPD, Utilizar ferramentas de integração da Senior, Criar e manter relatórios personalizados, utilizando ferramentas como JasperReports / Jaspersoft Studio **Missing Nice-to-Have:** Noções de automação de processos utilizando BPM e/ou RPA

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong Python, backend, and automation experience, with clear evidence of rapid system delivery and end-to-end ownership in supply chain and operations contexts. While there is hands-on experience with Python, SQL, Docker, CI/CD, and even building ATS/web platforms, there is no explicit mention of React or TypeScript, and FastAPI is not directly referenced (though RESTful API and backend logic are implied). The candidate's trajectory and inferred skills are highly relevant, but the lack of direct modern frontend stack experience (React/TypeScript) and FastAPI is a notable gap for a 'Full Stack' role. **Strengths:** - Extensive Python and backend automation experience - Proven rapid delivery of business-critical systems - Strong supply chain and operations domain expertise **Missing Required:** React, TypeScript, FastAPI

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Strong match on backend/data systems, production automation, SQL/Postgres, cloud/infra, and AI infra experience with a clear trajectory toward systems/AI roles; gaps are primarily in explicit TypeScript + Supabase production experience which are learnable given demonstrated fast learning and cross-stack deliveries. Communication, remote experience, and English fluency align well with the role. **Strengths:** - Proven operator who builds reliable production automation and data pipelines - Strong infrastructure and cloud/DevOps skills (AWS, Linux, Docker, CI/CD, self-hosted clusters) - Fast learner with demonstrated ability to deliver cross-stack systems quickly (site/ATS, procurement automations, trading systems) **Missing Required:** TypeScript (proven professional experience), Supabase or equivalent serverless Postgres+auth/edge functions experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] The candidate is strong on cloud infrastructure, containers, CI/CD, SQL databases, and senior-level systems/operations leadership, but lacks explicit professional experience with .NET/C#, ASP.NET Core, and React/Angular which are central to this role. Demonstrated rapid upskilling and delivery of fullstack systems using Go/JavaScript and self-hosted AI clusters partially mitigates the stack mismatch but still leaves risk for a senior fullstack position anchored in the Microsoft ecosystem. Overall fit is moderate and becomes attractive if the team can flex on exact stack in favor of architecture/DevOps strength and learning speed. **Critical Gaps:** - No explicit professional experience with C#/.NET or ASP.NET Core microservices, which are core to this role. - No explicit experience with React or Angular frontends, despite some JavaScript exposure. - Frontend UI/UX stack (HTML/CSS/TypeScript with a modern JS framework) is not clearly demonstrated at senior production level. **Strengths:** - Strong cloud and infrastructure background with hands-on Docker, CI/CD, and self-hosted clusters. - Proven systems architect and automation-first mindset, with end-to-end delivery of production workflows and platforms. - Senior-level communication and business–technical bridging, comfortable with executives and requirements translation. **Missing Required:** Proven experience with .NET-based microservices, Strong proficiency in C#, Experience with ASP.NET Core, Hands-on React or Angular experience, Proficiency in HTML, CSS, and TypeScript, In-depth Azure experience (or clearly equivalent cloud for .NET workloads), Experience with container orchestration such as Kubernetes, Explicit experience with asynchronous messaging patterns in microservices

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates strong capabilities in translating business requirements into technical solutions, building data-driven automation systems, and ensuring data integrity, aligning well with the core responsibilities of a data engineer. However, there are significant gaps in specific Azure data services, .NET C#, and modern data visualization platforms, which are key requirements for this role. **Strengths:** - Exceptional ability to translate complex business needs into technical, automated systems and data solutions. - Demonstrated track record of building and optimizing data-driven operations, ensuring data integrity and predictable outcomes. - Strong systems architecture and analytical skills, with a proven capacity for rapid learning and implementing complex technical solutions. **Missing Required:** Expose data to end-users using modern visualization platforms, .NET C#, Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, T-SQL proficiency

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate's strong full-stack background with Python and Node.js, combined with his experience in LLM integration and building intelligent systems, makes him a good fit for a Lead Product Engineer. His 'fast learner' trait and demonstrated ability to build complex, production-grade systems in new domains are significant assets, though explicit React/Next.js depth is not explicitly stated in the same manner. **Strengths:** Strong Python and Node.js backend development, Direct experience with LLM integration and AI infrastructure, Demonstrated ability to build and scale production-grade systems **Inferred Skills:** Strong experience across front-end and back-end development, Advanced knowledge of React and Next.js (from Node.js experience), Experience working with Generative AI, LLMs, or AI-driven features, Strong understanding of UI/UX principles and product design details, Proven ability to collaborate and provide technical leadership, Experience working on Agile / Scrum teams, Meaningful experience working on large, complex systems **Missing Nice-to-Have:** Experience building chatbot interfaces or AI-native products, Familiarity with LLMs, AI agents, and prompt engineering

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate does not meet the primary hard requirement of fluency in Georgian, which is essential for this role as a Georgian Language Specialist. Despite strong technical and AI-related experience, this critical linguistic gap leads to automatic disqualification. **Critical Gaps:** - Fluency in Georgian **Strengths:** - C2 English Fluency - Demonstrated ability to build complex systems (AI infrastructure, ATS) - Exceptional problem-solving and systems thinking **Missing Required:** Fluency in Georgian, Ability to evaluate, annotate, and refine AI-generated Georgian content, Assess accuracy, fluency, and cultural relevance of Georgian text, Correct linguistic errors and ensure proper grammar/idiomatic usage in Georgian, Cultural awareness (Georgian context)

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Critical mismatch: This is a senior .NET developer position requiring hands-on C# and Sencha EXTJS experience, but the candidate has zero .NET/C# development background and describes themselves as having 'no background in hard coding.' While they excel in procurement/supply chain systems (strong domain fit) and have automation/scripting capabilities, they are fundamentally an operations systems architect, not a software developer in the required stack. **Critical Gaps:** - .NET/C# software development - BLOCKING (zero evidence of .NET stack experience) - Sencha EXTJS framework - BLOCKING (required skill, completely absent) - Professional software development background - candidate is operations/systems architect, not software engineer **Strengths:** - Exceptional domain expertise in Purchasing/Procurement systems (10+ years) - Strong English proficiency (C2 certified) for technical reading and communication - Proven problem-solving with business users and stakeholder management **Missing Required:** .NET/C# development, Sencha EXTJS (JavaScript framework), SQL Server (procedures, queries) - only general database experience evident

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate lacks any experience with Dynatrace, which is the core technology required for this role. While his background in systems architecture, monitoring, and problem-solving is relevant, the absence of the specific tool knowledge results in a critical gap. His general experience with cloud platforms and container technologies is not explicitly detailed to mitigate this gap. **Strengths:** General systems architecture understanding, Experience with various integrations, Problem-solving and troubleshooting mindset **Critical Gaps:** Dynatrace experience (deploying, configuring, maintaining) **Inferred Skills:** Problem-solving abilities, Understanding of monitoring and performance management **Missing Required:** Experience in deploying and managing Dynatrace in a professional setting, Strong background in application performance monitoring and management

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate lacks the fundamental Khmer language fluency required for this role, leading to automatic disqualification. Their strong technical background is entirely irrelevant for this specialized linguistic position. **Critical Gaps:** - Fluency in Khmer - Professional experience in linguistic or cultural domains **Missing Required:** Fluency in Khmer, Demonstrated experience in translation, linguistics, language teaching, editing, or related professional work, Cultural knowledge (Khmer)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] This candidate demonstrates strong leadership, systems building, and a rapid learning ability, crucial for this role, despite some explicit gaps in advanced LLM application and modern software engineering practices. Their career trajectory and 'infrastructure-first' mindset align well with the job's focus on architecting and implementing complex AI systems in production. **Strengths:** - Strong leadership in engineering/operations and stakeholder management. - Proven ability to build and operationalize complex, automation-first systems with an 'infrastructure-first' mindset. - Exceptional 'fast learner' with demonstrated self-teaching capabilities and a clear career progression towards technical/AI roles. **Missing Required:** Prompt engineering (LLMs), Systematic evaluation (LLMs), AI safety and responsibility best practices, Microservices (architecture), Automated tests (software engineering context), Documentation (software engineering context), Code reviews (software engineering context), CI/CD (MLOps context), Versioning (MLOps context)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate is an excellent fit for this role, demonstrating direct experience with AI generative solutions, LLM integration, and building solutions with APIs. Their 'Fast Learner' and 'Spirito de Dono' traits, combined with a focus on practical problem-solving and collaboration, align perfectly with the startup culture and role responsibilities. The score is capped at 100 due to exceptional alignment. **Strengths:** Generative AI & LLM Integration, API & Integration Solutions, Problem-Solving & Proactiveness

[ANALYSIS_REPORT] **LOW** [2.5-Flash] This role is for a Business Development Representative (SDR) with a strong focus on sales, outbound strategies, and specific sales tools. The candidate's resume is almost entirely focused on engineering, data, and technical operations, indicating a critical gap in the core domain of sales and business development, leading to disqualification. **Critical Gaps:** Core sales and business development experience **Missing Required:** Conhecimento de técnicas de outbound, Capacidade de trabalhar de forma independente, auto gerenciando tarefas e mantendo um pipeline saudável e organizado de leads, Excelente habilidade de negociação, Dominio de sistemas de vendas e Linkedin Sales Navigator **Missing Nice-to-Have:** Familiaridade com campanhas de marketing outbound, Vivência anterior na área de Marketing Digital, Conhecimento de RD Station

[ANALYSIS_REPORT] **LOW** [2.5-Flash] Despite a strong background in AI infrastructure, agentic development, and system architecture, the candidate lacks the critical, foundational .NET experience required for this role, making them a suboptimal match. **Critical Gaps:** - .NET experience **Strengths:** - Proven expertise in AI infrastructure, agentic development, and automation - Extensive experience with system architecture, diverse databases, and cloud platforms - Demonstrated fast learning ability, problem-solving, and strong ownership **Missing Required:** .NET experience

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate has strong data management, ERP (TOTVS), and systems integration experience, but lacks any direct or inferred experience with SampleManager LIMS, which is a critical requirement for this technical lead role. While transferable skills exist in data architecture and problem-solving, the specific LIMS platform expertise is a significant unfulfilled requirement. **Strengths:** Strong background in data architecture and validation logic, Proven ability to reverse-engineer and fix complex system issues, Excellent communication and collaboration skills **Critical Gaps:** SampleManager LIMS implementation and enhancement experience **Inferred Skills:** Systems analysis, design, development, QA, Ability to manage multiple tasks and priorities, Analytical and problem-solving skills **Missing Required:** 7+ years of experience in SampleManager implementation and support, Extensive hands-on experience developing and configuring solutions in SampleManager LIMS, Technical Scope (SampleManager workflows, modules, designers, etc.) **Missing Nice-to-Have:** Spanish language proficiency

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The job explicitly requires a minimum of 3 years of experience in PROTHEUS (TOTVS MIT methodology) and expertise in PCP and ESTOQUE modules. While the candidate has deep experience with TOTVS from 2016-2017, this falls outside the 3-year full weight and 7-year 70% weight for recency. The role emphasizes specific modules and methodologies which are not continuously demonstrated in recent experience, leading to a critical gap. **Strengths:** TOTVS ERP general experience (older), Problem-solving & Data Saneamento, Middleware Integration **Critical Gaps:** Recent and continuous experience with TOTVS Protheus (PCP and ESTOQUE modules) **Missing Required:** Dominio na metodologia TOTVS MIT AS IS / TO BE e demais MIT para implantação de módulos, Dominio para implantação nos módulos de : PCP e ESTOQUE **Missing Nice-to-Have:** Advpl

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates strong alignment with Kubernetes, Docker, CI/CD concepts (through automation and production systems), scripting (Python), and cloud experience (AWS). Their proactive and organized profile, coupled with a deep understanding of operational challenges, makes them a strong fit. The main deduction comes from the lack of explicit Terraform/Pulumi experience. **Strengths:** Kubernetes & Docker (experience & inference), Python Scripting & Automation, Operational & Problem-Solving Aptitude **Inferred Skills:** CI/CD concepts, Containerization (from LLM cluster experience) **Missing Nice-to-Have:** Terraform/Pulumi, Kafka, Airflow, Flink, Clickhouse

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate has a strong background in systems architecture, process optimization, and stakeholder management, which are relevant for an IT Deployment Analyst. However, the lack of direct experience with key platforms like SAP, Salesforce, and ServiceNow, as well as ITIL/ITSM best practices, represents significant gaps. Their engineering background and 'fast learner' trait offer some mitigation. **Strengths:** Systems Architecture & Process Optimization, Cross-functional Collaboration, Analytical & Problem-Solving Skills **Inferred Skills:** Process Optimization, System Integration Concepts, Stakeholder Management **Missing Required:** Experience with at least two of the following platforms: SAP, Salesforce, ServiceNow, Knowledge in ITIL / ITSM and good practices of service management **Missing Nice-to-Have:** Experience in post-merger integration (PMI) or post-spin-off, Actuation in greenfield projects or design of IT operational models, Experience in large-scale global programs

[ANALYSIS_REPORT] **LOW** [2.5-Flash] This role is for a Medical Clinic Consultant, requiring specific experience in the medical/health sector, commercial sales, strategic planning, and financial analysis within clinics. The candidate's background is primarily in supply chain, engineering, and AI, representing a critical domain mismatch and lack of required industry-specific experience. **Strengths:** Analytical Profile, Results-Oriented, Communication Skills **Critical Gaps:** Lack of experience in the medical/health sector, Lack of direct experience in consulting for medical clinics **Missing Required:** Experiência prévia com clínicas médicas ou negócios de saúde, Vivência em vendas, estratégia e/ou gestão financeira

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates strong experience in Python, SQL, data quality, governance, and architectural thinking, which are key for a Senior Data Engineer. Their AWS fundamentals and ongoing certification are a plus. While direct NoSQL (MongoDB, Cosmos DB) and Azure Data Fabric/Databricks experience is not explicitly stated, their fast learning ability and related data work make them a strong candidate, almost reaching the score cap. **Strengths:** Python & SQL Proficiency, Data Quality & Governance, Architectural Thinking & Cloud Fundamentals **Inferred Skills:** Data Architecture (general), ETL/ELT concepts (from data pipeline work), Distributed processing (from LLM clusters) **Missing Required:** Domínio em bancos de dados NoSQL (MongoDB, Cosmos DB), Experiência comprovada em Azure Data Fabric e Databricks **Missing Nice-to-Have:** Experience in the financial market, Azure or Big Data Certifications