Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong systems architect with extensive experience in automation, data management, and building complex autonomous systems, including self-hosted LLM infrastructure and algorithmic trading. These skills provide a solid conceptual foundation for Agentic AI. However, there are notable gaps in direct experience with specific Agentic AI frameworks, vector databases, and cloud platforms, which are key requirements for the role. **Strengths:** - Strong foundation in building autonomous, data-driven systems and automation. - Proven ability to learn complex technical domains quickly (e.g., LLM infrastructure, algorithmic trading). - Excellent communication, problem-solving, and documentation skills. **Missing Required:** Specific Agentic AI frameworks (LangGraph, Crew AI, LangChain, N8N, ADK), Basic knowledge of cloud platforms (GCP, AWS, or Azure)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong experience in data processing, automation, data modeling, and handling large datasets, primarily in on-premise or self-managed environments. The key weakness is a complete absence of experience with cloud data services, which is a required qualification for this role. However, their proven track record as a fast learner and intentional career progression mitigate this to some extent, suggesting potential for rapid upskilling. **Critical Gaps:** - Hands-on experience with cloud services (e.g., AWS S3, Glue, Lambda, Redshift) **Strengths:** - Strong foundation in data quality, data modeling, and reporting logic - Extensive experience in building and operating automated data processing workflows/pipelines - Proven ability to handle and process large-scale datasets with a focus on data integrity

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, automation, and practical LLM infrastructure experience, indicating high potential for an AI Developer role. However, there are notable gaps in direct experience with specific AI agent frameworks, RAG, embeddings, and vector databases, which are critical for the role's immediate demands. **Strengths:** - Extensive experience in systems architecture, automation, and end-to-end delivery of complex projects. - Demonstrated practical experience with LLM infrastructure (self-hosted clusters) and strong background in algorithmic design. - Proven ability to self-teach and build production-grade systems with a clear career progression towards AI/technical roles. **Missing Required:** Conhecimento em frameworks de agentes/copilots (ex: LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, Microsoft Copilot Studio), Conhecimento em RAG, embeddings e bancos vetoriais (Pinecone, FAISS, Weaviate, etc.), Boas práticas de engenharia: testes, versionamento, CI/CD (specifically 'testes', 'versionamento' as explicit mentions)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] You are a strong fit on data quality, process automation, and technical communication, and there is solid evidence to infer Python/SQL-based analytics and tooling work even though the specific stack is not explicitly listed. Your background in engineering, quantitative development, and systems/operations automation aligns well with an Analytics Engineer role, but lack of explicit Node.js/Angular/Snowflake and clearly documented 4+ years of Python/SQL development keeps this from being a perfect match. Overall this reads as a good match for a back-end/analytics-focused version of the role, with some front-end and specific tech-stack gaps. **Strengths:** - Very strong data quality, validation, and reporting experience with concrete impact (ERP cleanup, middleware-style filters, forecasting/reporting improvements) - Proven ability to design and operate automation-first, pipeline-like systems in operations/finance contexts (stock-to-procurement workflow, reporting utilities) - Excellent stakeholder and technical communication skills bridging business and engineering, with fluent English and an engineering degree **Missing Required:** Explicitly stated 4+ years of software and data development using Python and SQL

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong system-building, automation, and problem-solving abilities, demonstrating excellent communication and independent work skills. However, there is a fundamental mismatch in the core domain of traditional IT systems administration, network technology, corporate security, and MDM/provisioning, which are explicitly required for this IT Engineer role. His career trajectory has moved away from hands-on corporate IT operations towards systems architecture and AI infrastructure. **Critical Gaps:** - Relevant experience in IT systems, network administration, and related technologies (domain mismatch from business process automation/system building) - Strong MDM and system provisioning skills for Mac, Windows and Linux **Strengths:** - Strong communication and problem-solving abilities - Proven ability to build and operate complex automated systems - Exceptional capacity for self-directed learning and taking end-to-end accountability **Missing Required:** Solid knowledge of network technology and security principles, Experience in corporate or platform security and vulnerability management, Solid knowledge of best practices in IT administration, system vulnerabilities, and security

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong foundational skills in Python and SQL, and a proven track record of building complex, data-driven automation systems. While specific experience with GCP and formal data warehousing/lakes is not explicitly mentioned, the candidate's systems architecture background and remarkable learning agility make them a promising fit for a Senior Data Platform Engineer role, capable of quickly acquiring new platform-specific knowledge. **Strengths:** - Strong Technical Foundations & Implementation: Demonstrated proficiency in Python and SQL through building and operating complex, data-intensive automation systems (e-commerce, job scraping, LLM clusters). - Strategic Data & Systems Thinking: Proven ability to act as a 'Business-Technical Bridge,' clean and validate large datasets, and specify reporting logic, indicating a strong understanding of data integrity and its business impact. - Exceptional Learning Agility & Career Alignment: A 33-year-old with a clear career progression towards technical and AI roles, evidenced by self-taught complex systems (LLMs, trading) and continuous education, indicating a high capacity to quickly acquire new technical skills (like GCP). **Missing Required:** GCP tools (BigQuery, Cloud Run, Cloud Functions), Explicit hands-on experience with data warehousing and data lakes, Explicit experience with specific data modelling techniques (slowly changing dimensions, dimensional modelling)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong transferable skills in systems architecture, process automation, and leadership, coupled with a fast-learner profile. However, there is a critical gap in direct experience within the energy distribution sector and specific knowledge of its commercial, regulatory, and operational processes, which are core requirements for this role. While many responsibilities align with the candidate's general capabilities, the domain mismatch significantly impacts the fit. **Critical Gaps:** - Sólida experiência no negócio das distribuidoras de energia (including commercial, regulatory, and operational processes) **Strengths:** - Exceptional ability as a technical-strategic consultant and business-technical bridge, adept at translating strategic vision into technical scope. - Proven track record in defining, structuring, and delivering complex processes and solutions, with strong communication and executive reporting skills. - Demonstrated 'Fast Learner' aptitude, actively acquiring new complex technical skills and building production systems from scratch. **Missing Required:** Perdas não técnicas, Gestão de ativos (setor elétrico), Integração entre sistemas (setor elétrico), Mercado livre de energia, GD (Geração Distribuída)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents an exceptionally strong background in systems architecture, e-commerce automation, and operational optimization with a clear trajectory towards technical roles. They demonstrate significant experience in designing and implementing complex automation and integration-like workflows, and possess a proven fast-learner ability. However, the critical requirement for 'strong Java development skills' for a Principal role is a significant unmet prerequisite. **Critical Gaps:** - Strong Java development skills **Strengths:** - Extensive experience in designing, building, and operating automation-first e-commerce and ERP integration-like systems. - Strong career trajectory towards systems architecture, automation, and data-driven solutions, with a proven 'fast learner' track record. - Demonstrated leadership in engineering and operations, including data quality, process optimization, and KPI-driven execution. **Missing Required:** Strong Java development skills

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile for a Staff Data Engineer, demonstrating deep architectural understanding, proven data quality/governance experience, and excellent client-facing communication. While specific modern data stack tool experience (Snowflake, DBT, Airflow/Prefect/Dagster) and 'solid' cloud platform experience are missing, the candidate's track record of building complex, data-driven automation systems and rapid self-teaching capability indicates a high potential for success after onboarding. **Strengths:** - Data Architecture & Pipeline Design Principles - Client-Facing Communication & Stakeholder Management - Data Quality, Governance & Observability **Missing Required:** Solid experience with at least one cloud ecosystem (AWS, GCP or Azure), Experience with Snowflake, Databricks, BigQuery or similar, Experience with DBT, Experience with Airflow / Prefect / Dagster

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong competencies in supply chain management, general ERP systems (TOTVS), data-driven automation, and a proven ability to rapidly acquire new skills. However, the job specifically requires direct experience with core SAP technologies (IBP, CI-DS, ABAP, BW), which are entirely absent from the candidate's background, creating a critical technical mismatch despite domain relevance. **Critical Gaps:** - SAP IBP (configuração, testes e suporte) - SAP CI-DS para integrações - Noções de ABAP - Noções de BW **Strengths:** - Extensive experience in Supply Chain Planning and ERP processes (via TOTVS, MIT MicroMasters). - Strong capabilities in systems architecture, automation, and data analysis. - Demonstrated 'Fast Learner' ability and a clear career progression towards technical roles.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates a deep understanding of supply chain processes, excellent communication, and a strong track record as a fast learner and systems architect. However, there is a critical absence of direct experience with Power BI, DAX, Power Query, and related Power BI development skills, which are the core technical requirements for this role. **Critical Gaps:** - Power BI Development (core tool and associated skills) **Strengths:** - Deep understanding of Supply Chain processes and KPIs - Proven track record as a fast learner and systems builder - Strong experience in automation and improving operational efficiency **Missing Required:** 5-7 years of Power BI experience, SQL, Cloud data platforms (Azure Synapse, Snowflake)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You are strong on data analysis, KPI-driven operations, stakeholder communication, and SOP-style documentation, and you fully meet the English/Portuguese language requirements. However, you lack direct IT service management experience and hands-on exposure to desktop operations, IT asset management, conference room operations, and ITIL/PMP, which are central to this role. Overall this is a partial but not direct match, relying heavily on transferable operations experience rather than true ITSM background. **Strengths:** - Strong data analysis and metric-driven operations background aligned with service management via KPIs - Proven experience working with executives and producing clear, structured reporting and communication - Track record of designing and documenting operational processes and controls (SOP-style) in complex environments **Missing Required:** Direct IT service management experience, Hands-on desktop support and endpoint operations, Familiarity with IT asset lifecycle management, Experience with conference room A/V and meeting-room IT operations, Working knowledge of ITIL methodology and processes

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-5.1] The role requires a seasoned Data Engineer with 3+ years of Databricks and Python, while your background is primarily in operations, procurement, and systems/automation with no explicit data engineering, Databricks, or Python experience. You do strongly meet the English requirement and show strong analytical/automation capability, but the hard technical stack and likely Portugal-based hybrid presence are not met. **Critical Gaps:** - Core Data Engineering background (role is data-engineer-focused; candidate is operations/systems/analytics-focused) - 3+ years Databricks experience - 3+ years Python experience - Hybrid/on-site work in Portugal (candidate currently based in Brazil with no relocation/work-authorization context) **Strengths:** - Fluent English (C2 level, exceeds B2 requirement) - Strong background in operations analytics and process automation that is adjacent to data work - Proven ability to translate business requirements into structured execution logic and reporting **Missing Required:** At least 4 years of professional experience as a Data Engineer, At least 3 years of professional experience with Databricks, At least 3 years of professional experience with Python, Portugal-based or able to work hybrid in Portugal (implied by hybrid working model; not evidenced in resume)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience in building automated systems, managing data integrity, and defining reporting logic, which are core to an Analytics Engineer role. Their strong inferred Python, SQL, ETL/ELT, and data modeling skills, coupled with a proven fast-learner mindset and relevant career trajectory, outweigh the lack of explicit experience with specific data warehousing and visualization tools. **Strengths:** - Proven ability to design and implement robust data-driven automation and reporting systems. - Exceptional communication and stakeholder management, bridging technical and business needs. - Demonstrated fast-learner, self-starter, and strategic thinker with highly relevant career progression. **Missing Required:** Explicit experience with specific data lake/Snowflake ecosystem reporting tools

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You have strong systems/operations design, data quality, and reporting experience plus excellent English and an engineering degree, which align with the role’s need for someone who can translate business requirements into workflow and reporting logic. However, you lack direct Workfront/Workfront Fusion and Adobe ecosystem experience, as well as explicit project management system administration background, which are central to this position. This makes you a promising fast-learner but not an immediately plug-and-play Senior Workfront Configuration Engineer. **Strengths:** - Proven ability to design and automate complex operational workflows and data-driven systems (ERP, procurement, inventory, and reporting). - Strong business–technical bridge skills, translating financial/operations requirements into executable logic and clear specifications for engineers. - High analytical rigor and focus on data quality, KPIs, and validation rules, combined with C2-level English and an engineering background. **Missing Required:** Hands-on Workfront configuration and instance design experience, 5+ years designing, implementing, and supporting project management systems (Workfront or similar), 1+ years of Workfront Fusion experience, Demonstrated experience integrating Workfront with Adobe platforms (AEM, AEP, Marketo, Adobe Firefly)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5.1] You have strong experience in process automation, data integrity, and business–technical bridging, including in financial contexts, but the role requires 3–5 years of hands-on Power Platform (Power Pages/Power Apps/Power Automate/Power BI/Dataverse/Azure SQL) experience that is not present or inferable from your resume. Your background suggests you could learn this stack quickly, yet the lack of explicit Microsoft Power Platform and Azure identity/web-portal experience would likely cause an ATS to down-rank you for this specific opening. **Critical Gaps:** - Experiência prática de 3–5 anos desenvolvendo soluções completas em Power Platform (especialmente Power Pages e Power Apps) - Desenvolvimento de portais Power Pages (internos/externos) com autenticação segura via Azure AD/Microsoft 365 e Dataverse/Azure SQL como backend **Strengths:** - Forte capacidade de traduzir processos de negócio complexos em sistemas automatizados com dados confiáveis e KPIs claros - Experiência sólida em governança de dados, validação de regras de negócio e saneamento de ERP em contextos de supply chain e operações - Histórico consistente de autoaprendizagem em temas técnicos avançados (trading algorítmico, scraping, sistemas de scoring) aliado a fluência em inglês e atuação em setores financeiros **Missing Required:** Experiência prática de 3–5 anos com Power Platform, Criação e configuração de portais no Power Pages, Construção de formulários, telas e experiências baseadas em perfis de acesso (Dataverse), Integração de dashboards Power BI diretamente em portais, Desenvolvimento de fluxos no Power Automate para processos, aprovações e notificações, Conexão de dados a Dataverse, Azure SQL, SharePoint e APIs REST usando Power Platform, Conhecimento aplicado de Azure SQL em contexto Power Platform, Uso de Azure AD/Microsoft 365 para autenticação e controle de acesso em portais, Uso de Power Fx para lógica em Power Apps/Power Pages, Práticas de ALM/DevOps específicas da Power Platform, HTML/CSS/JavaScript aplicados ao desenvolvimento de portais Power Pages

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong transferable skills in systems architecture, process automation, and ERP concepts with a proven ability to learn new technologies quickly. However, there are significant critical gaps in direct experience with Dynamics 365 ERP, its specific F&O modules (GL, Billing), and the core programming languages (X++, C#, .Net, C++, JavaScript) explicitly required for this developer role. The job specifically asks for 5+ years of experience in these technologies, which the candidate lacks. **Critical Gaps:** - 5+ Years of experience working with Dynamics 365 ERP (Finance & Operations modules – GL, Billing) - Proficiency in X++, C#, .Net; C++ **Strengths:** - Strong business-technical bridging capabilities and systems architecture mindset. - Proven track record in automation and process optimization with ERP conceptual understanding. - Exceptional learning agility and problem-solving skills demonstrated by self-taught complex systems. **Missing Required:** Experience with Power Platform (Power Apps, Power Automate), Proficiency in JavaScript for customizations and integrations

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong match for the Backend Product Engineer role, demonstrating excellent aptitude, a career trajectory aligned with technical systems in relevant domains (finance, operations), and a proven ability to build and operate complex systems. While direct experience with the specific tech stack (.NET, C#, Terraform, Kubernetes) is absent, the job description explicitly prioritizes eagerness to learn, which is strongly evidenced by the candidate's 'Fast Learner' profile and self-taught expertise. **Strengths:** - Strong adaptable engineering prowess & problem-solving (Technically Excellent, Intellectually Rigorous, Relentlessly Resourceful) - Highly relevant domain experience in finance and operations with a clear technical career trajectory - Proven 'Fast Learner' with a track record of building complex production systems from scratch **Missing Required:** Direct experience with .NET, Direct experience with C#, Direct experience with Terraform, Direct experience with Kubernetes

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience in procurement, inventory, and establishing operational systems relevant to hardware asset management, especially across multiple branches and within the Brazilian context. While excelling in core requirements, minor gaps exist in explicit mentions of reverse logistics, specific Brazilian carriers, and certain nice-to-have certifications. **Strengths:** - Extensive experience in procurement, inventory management, and operational system building across distributed environments, including IT procurement and ERP data integrity. - Strong analytical and problem-solving skills, with a proven track record of rapid system delivery and process automation, directly applicable to establishing asset management systems. - Bilingual proficiency (Portuguese, English) and located in Brazil, providing crucial local context for logistics, coupled with a demonstrated 'Fast Learner' ability to acquire new technical skills. **Missing Required:** Explicit experience in 'Recycling' and 'Scrapping' aspects of HAM lifecycle, Explicit experience building 'reverse logistics systems' and familiarity with specific local carriers like 'Correios' or 'Loggi'

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a severe mismatch. The role requires 8+ years of Dynamics 365 Business Central development with AL/C/AL programming expertise—a highly specialized ERP development position. The candidate has strong operations/systems architecture experience with ERP data management (TOTVS) and business process automation, but zero demonstrated software development background in any Microsoft stack, no AL/C/AL programming, and no Dynamics 365 exposure. While the candidate shows technical aptitude and fast-learning capability, the 8-year development experience requirement for a specialized platform makes this functionally disqualifying. **Critical Gaps:** - Zero software development background in any Microsoft stack—role requires 8+ years of Dynamics 365 Business Central development - No AL or C/AL programming experience—core requirement for the position - No demonstrated software engineering/coding background—candidate's technical work is operations/automation, not development **Strengths:** - Strong ERP operations experience with TOTVS—understands ERP data structures, validation rules, and reporting logic at a systems level - Proven supply chain and finance domain expertise—directly relevant to Business Central modules (finance, supply chain, manufacturing) - Excellent stakeholder management and requirements translation—critical for developer role interfacing with business users **Missing Required:** 8+ years Dynamics 365 Business Central development experience, AL development and C/AL programming, Business Central customization and extensions, Microsoft stack development experience, Dynamics 365 module expertise, Bachelor's in Computer Science/IT (has Mechatronics Engineering—adjacent but not exact match)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents significant transferable skills in systems architecture, automation, data analysis, and general software development, evidenced by their successful projects and 'Fast Learner' bonus. However, they critically lack direct experience with Dynamics 365 Business Central development, AL code, and C/AL programming, which are the core requirements of this role. While many soft skills and general engineering practices align, the fundamental technology gap makes this a weak match. **Critical Gaps:** - Dynamics 365 Business Central development (AL/C/AL) **Strengths:** - Strong Systems Architecture & Automation Experience - Proven Fast Learner and Problem Solver - Excellent Communication & Cross-functional Collaboration **Missing Required:** AL Development, C/AL Programming, Dynamics 365 Business Central Module Specific Understanding, Proficiency in D365 BC Solution Deployment

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5-mini] Strong systems-architecture, automation, ERP and data-quality background with proven fast-learning and inferred backend/infra skills, but lacks the core C#/XAML UI stack required for this role. The absence of WinForms/MAUI/WPF UI development experience is a significant functional mismatch for a Senior UX-focused C# position. **Critical Gaps:** - C#/XAML-based UI development (WinForms/MAUI/WPF) - blocking for this role **Strengths:** - Proven systems architecture and automation-first delivery in production - Enterprise ERP/procurement domain knowledge with strong data-quality impact - Fast learner with self-taught complex projects (quant trading, infra) and strong stakeholder communication **Missing Required:** Demonstrated professional C# and XAML experience, WinForms and MAUI implementations, 5+ years of C#/XAML UI engineering in SaaS/enterprise contexts

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong systems architect with extensive experience in automation, data integrity, and building resilient systems, aligning well with the core responsibilities. They demonstrate exceptional learning ability and a clear career trajectory towards technical leadership. While strong in several areas, there are notable gaps in explicit experience with modern architectural patterns (event-based, microservices, clean architecture) and specific observability tools. **Strengths:** - Robust Systems Architecture & Automation (end-to-end automation, measurable & resilient systems, defensive development). - Business-Technical Bridge & Strategic Leadership (Head of Engineering experience, ROI focus, executive communication). - Exceptional Adaptability & Problem Solving (proven self-learner, rapid prototyping, refining complex problems into scalable solutions). **Missing Required:** Event-based architecture, Clean Architecture, Microservices, APM (e.g., Newrelic, Instana), Code Instrumentation, Observability tools (explicit), Hands-on Cloud experience (beyond certification in progress)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong understanding and experience with TOTVS ERP and database systems, coupled with a 'Fast Learner' profile and relevant engineering background. However, direct experience in ADVPL development, a core requirement for this developer role, is not explicitly stated in the resume. This makes it a weak match for the position. **Critical Gaps:** - Explicit ADVPL development experience **Strengths:** - Deep familiarity with TOTVS ERP ecosystem and data integrity concepts - Strong 'Fast Learner' and Systems Thinking capabilities - Extensive practical database knowledge and application **Missing Required:** Desenvolvimento ADVPL, Atuação prévia com Linguagem ADVPL

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-5.1] Very strong match on analytical background, digital/fintech-style experience, and Brazil/Portuguese/English requirements, with clear evidence of using data to drive decisions and communicate with stakeholders. Career trajectory from finance/procurement into systems and analytics aligns well with a product analyst role, though explicit product-metrics (funnels, cohorts, LTV) and sportsbook-specific experience are less directly demonstrated. Overall, the profile should perform well in an ATS for this role with minor gaps mainly around explicit product analytics terminology and sports-betting domain signals. **Strengths:** - Proven history of using data, forecasting, and quantitative logic to drive operational and business decisions across finance, supply chain, and digital environments. - Experience in digital and fintech-like domains (e-commerce automation, crypto trading, quantitative development) that is adjacent to sportsbook analytics. - Strong communication and ‘business–technical bridge’ capability, translating requirements into system logic and producing clear reports and KPIs for stakeholders. **Missing Required:** Explicit experience with product metrics such as funnels, cohorts, retention, LTV, and conversion (only partially inferable from KPIs and forecasting work), Explicit experience analyzing sportsbook or gaming products (candidate has adjacent trading/fintech and e-commerce experience instead)