Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled architect and engineer in AI infrastructure and automation with over 10 years of experience, demonstrating strong technical acumen and a fast learning ability. However, the role requires specific operational expertise in Telecom, Network, and basic firewall management, which are largely absent from the candidate's resume and current career trajectory, leading to a significant domain mismatch. **Critical Gaps:** - Operational Telecom Infrastructure - Operational Network Infrastructure (Switches, Access Points, VLANs, routing, WAN links) - IP Telephony support - FortiGate Firewall administration **Strengths:** - Strong general IT Infrastructure understanding (Linux, Git, Docker, AWS basics) - Proven track record as a fast learner and builder of complex technical systems - Extensive experience with automation and production systems **Missing Required:** VLANs e noções de routing (operational context), Noções de VoIP e telefonia IP, Configuração básica de Switches e access points, Suporte a incidentes de conectividade, links WAN

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical fit with demonstrated systems integration and digital platform experience, though lacks specific SAP knowledge. Candidate shows excellent progression from supply chain to systems architecture with proven ability to build production-level systems. Geographic alignment (Brazil) and language skills are perfect matches. **Strengths:** - Systems integration expertise from e-commerce automation - Digital platform development and maintenance experience - Supply chain domain knowledge highly relevant to FMCG operations **Missing Required:** SAP ECC/S4 HANA experience, MS SQL Server expertise

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate's profile as a Solutions Architect and AI Infrastructure Strategist is fundamentally misaligned with the requirements of a hands-on IT Support role. While highly skilled, their expertise lies in high-level system design, automation, and AI infrastructure, lacking direct experience in critical end-user support, basic hardware troubleshooting, and IT operational tasks. **Critical Gaps:** - End-user support for hardware and software technologies - Password management (BitLocker, BIOS) - IT onboarding processes / License activation **Strengths:** - Strong background in system architecture and automation - Proven fast learner and continuous education - Experience with advanced infrastructure concepts (e.g., Docker, Terraform, AI clusters) **Missing Required:** Basic server and networking support (in IT helpdesk context), Ability to manage hardware stock and asset tracking effectively (for IT assets), Strong troubleshooting skills for hardware and connectivity issues (for end-users)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates exceptional technical expertise in AI infrastructure and systems architecture, coupled with a strong track record of self-learning and a clear career progression towards technical AI roles. However, the role is for an AI Sales Specialist, explicitly requiring 10 years of sales experience, which is a critical and blocking gap in the candidate's profile. While transferable skills in cross-functional collaboration and business understanding exist, the core sales function is unmet. **Critical Gaps:** - Sales role experience (required 10 years) for a sales specialist position, contrasting with candidate's technical/architecture background. **Strengths:** - Deep technical expertise in AI infrastructure and cloud technologies (Docker, Terraform, Local AI Clusters, AWS Basics, Python/PyTorch). - Strong analytical and systems architecture background with proven ability to build complex systems (JIT systems, algorithmic trading bots, Clean Architecture). - Demonstrated fast learner and self-starter with continuous education and a clear career trajectory towards technical/AI roles. **Missing Required:** 10 years of experience in a sales role

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong match: candidate has an engineering degree, proven end-to-end project leadership (founder/Head of Engineering), and domain expertise in supply chain/JIT plus modern AI infrastructure experience which infers PM/governance capabilities. Fast-learner evidence and inferred Design Thinking/Lean Startup practices fill several gaps, leaving only desirable items and location questions. **Strengths:** - Proven end-to-end project and operations leadership (founder / Head of Engineering) - Domain expertise in Supply Chain and automated JIT systems directly relevant to corporate projects - Deep technical ability to architect and run infrastructure (self-hosted LLM clusters, Docker, Linux, CI/CD) enabling technical governance

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong technical profile with deep experience in designing, architecting, and implementing complex automated systems, aligning perfectly with the Solution Engineer role. Their proven 'fast learner' ability, strong analytical skills, and intentional career progression solidify them as an outstanding match for this position. **Strengths:** - Extensive experience in designing and implementing complex technical solutions and automated systems (JIT, LLMs, trading bots). - Demonstrated proficiency in Python, SQL, and critical analytical, problem-solving, and project management skills. - Excellent career trajectory toward technical roles, backed by a 'fast learner' profile and highly transferable domain expertise.

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong fit for the technical/software and ‘bridge’ aspects of the role, with proven experience connecting business processes to systems and working in supply chain and industry contexts, but lacks direct COMEX (import/export) operational experience. Fast-learning profile, entrepreneurial background, and prior work in industry and analytics make the domain ramp-up plausible, yet the absence of hands-on foreign trade operations keeps this from being a top match. Overall this is a viable but non-ideal candidate for a COMEX-focused pre-sales role. **Strengths:** - Forte background técnico em software, integrações e infraestrutura, muito acima do mínimo exigido para pré-vendas de uma solução SaaS - Experiência relevante em supply chain, planejamento e ambiente industrial, que se aproxima do contexto logístico de COMEX - Perfil comprovadamente autodidata, empreendedor e orientado a métricas/resultados, o que favorece ramp-up rápido em um novo domínio como comércio exterior **Missing Required:** Experiência prática e/ou operacional em importação e/ou exportação, Vivência em empresas diretamente ligadas a comércio exterior (trading, despachante aduaneiro, COMEX dedicado), não apenas indústria e supply chain

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong leadership, architecture, and engineering skills, particularly in Python-based systems, AI infrastructure, and automation. However, the role critically requires 4 years of lead experience with Java and SpringBoot, technologies entirely absent from the candidate's resume, leading to a fundamental technical mismatch for the core stack despite other impressive qualifications. **Critical Gaps:** - Required 4 years experience as Líder Técnico utilizing Java + SpringBoot (candidate has no Java or SpringBoot experience) **Strengths:** - Strong leadership and architectural expertise in complex, production-grade systems. - Profound experience with Python, Docker, CI/CD, and AI infrastructure from concept to deployment. - Demonstrated ability to build highly automated, scalable systems with a focus on ROI and operational resilience. **Missing Required:** Angular, NodeJS, XML, SOAP, EJB, JMS, JavaScript, JSP, HTML, CSS, Arquitetura de aplicações em três camadas (specifically MVC, MOOC, SPA, Reactive Programming concepts), SonarQube, Testes funcionais e automatizados (JUnit, Selenium, Cucumber), JMeter

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Critical domain mismatch - candidate has strong software/AI infrastructure background but lacks core network infrastructure skills. Missing all required Fortinet technologies and telecom expertise with no transferable experience. **Critical Gaps:** - Network Infrastructure - candidate is software/cloud focused, not network hardware - Telecom/VoIP expertise - no telecommunications background - Fortinet ecosystem - no experience with required vendor stack **Strengths:** - Strong technical learning ability - Infrastructure architecture experience - Project management and leadership **Missing Required:** Fortinet FortiGate firewall, SD-WAN Fortinet, VoIP/IP telephony, Network administration (WLAN/LAN/WAN), Network monitoring tools (PRTG/Zabbix)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong foundational skills in automation, systems architecture, CI/CD, IaC (Terraform), Python, and Git, supported by a clear self-learning trajectory. However, the application requires specific enterprise-grade tools like Jenkins, SonarQube, Fortify, Ansible, Puppet, Groovy, and detailed AWS services which are largely missing or only covered at a 'basic' level. **Strengths:** - Strong Automation & Systems Architecture - Robust CI/CD & IaC Foundation with Python/Shell Scripting - Proactive Learning & Technical Progression **Missing Required:** Jenkins, SonarQube, Fortify, Artifact repositories (Nexus, JFrog, ECR), Ansible, Puppet, Groovy, EC2, S3, IAM, VPC networking basics, AWS CloudWatch, SSM, ECS/EKS

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in technical system architecture, project execution, and financial analysis, which aligns well with the planning, cost control, and process optimization aspects of the role. However, the absence of specific required certifications (PMP, project planning tools) and a crucial tool (Power BI) significantly impacts the overall match, preventing a higher score despite strong conceptual alignment. **Strengths:** - Extensive experience in technical project planning, execution, and system architecture. - Strong background in budgeting, cost control, and financial analysis directly applicable to engineering projects. - Proven ability in process optimization, risk management, and data-driven decision making. **Missing Required:** Certificações em ferramentas de planejamento de projetos (e.g., MS Project), Power BI, Certificação PMP

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4] The candidate has strong systems architecture and process optimization experience, but lacks the core ITSM/ITIL knowledge and specific tools (ServiceNow, Jira) that are central to this IT service management role. While his supply chain and automation background provides transferable analytical skills, this is fundamentally a different domain requiring IT governance expertise. **Critical Gaps:** - ITSM/ITIL expertise - completely different from AI/infrastructure domain **Strengths:** - Strong analytical and process optimization background - Proven experience with performance metrics and reporting - Excellent technical foundation for learning ITSM concepts **Missing Required:** ITIL v4 knowledge, ITSM tools experience, IT governance background, Service management processes

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong infrastructure, automation, and analytics experience, with deep Python, SQL, and systems architecture skills. However, there is no evidence of Dynamics 365 ERP, X++, C#, .Net, Power Platform, or direct ERP module customization experience, which are core requirements. The candidate's finance and supply chain background is relevant, but the lack of direct Microsoft stack and ERP development is a significant gap. **Critical Gaps:** - No Dynamics 365 or Microsoft ERP development experience - No X++/C#/.Net/Power Platform background **Strengths:** - Advanced Python and automation - SQL and data analytics - Finance and supply chain domain expertise **Missing Required:** Direct experience with Dynamics 365 ERP, X++, C#, .Net, Power Platform

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and general technical skills, coupled with a fast-learner profile. However, there are critical gaps in fundamental network engineering principles (TCP/IP, OSI model, routing/switching protocols) and hands-on experience with specific network equipment, which are core requirements for this Solution Engineer role. **Critical Gaps:** - Proficiency in TCP/IP protocol stack, in-depth understanding of the OSI model, and routing and switching principles (STP, OSPF, BGP, VRRP). - Proven ability to configure, manage, and troubleshoot network equipment from leading vendors (Cisco, Huawei, H3C, Juniper, Palo Alto, Fortinet). **Strengths:** - Strong background in Systems Architecture and Automation using Python and Git. - Proven track record of building production systems and self-teaching complex technical domains (AI infrastructure, algorithmic trading). - Relevant engineering degree, fluent English, and domain expertise in JIT Systems and Supply Chain Analytics. **Missing Required:** Proficiency in TCP/IP protocol stack, in-depth understanding of the OSI model, and routing and switching principles (STP, OSPF, BGP, VRRP)., Proven ability to configure, manage, and troubleshoot network equipment from leading vendors (Cisco, Huawei, H3C, Juniper, Palo Alto, Fortinet).

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate exhibits strong capabilities in Python, SQL, ETL, and general data pipeline automation, demonstrated through complex projects like automated JIT systems and AI infrastructure. Their proven fast-learner ability and relevant career progression are significant assets. However, the lack of direct experience with Informatica PowerCenter and practical application of AWS Glue, both critical for this migration-focused role, represents a notable gap in meeting the core technical requirements. **Critical Gaps:** - Informatica PowerCenter (expertise in the source system for migration) **Strengths:** - Robust experience in Python, SQL, ETL, and data pipeline automation through hands-on project delivery. - Strong foundational knowledge in cloud infrastructure (AWS Basics, Docker, Git/CI/CD) and advanced AI infrastructure. - Demonstrated 'fast learner' ability and a clear career trajectory aligning with advanced technical and AI roles. **Missing Required:** AWS Glue (specific practical experience), Experience in AWS migration projects

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: claude-sonnet-4] Strong technical match with excellent skill alignment. Candidate demonstrates SQL expertise, system architecture experience, and Python development skills that directly address core requirements. Career progression from supply chain to AI infrastructure shows strategic thinking valuable for energy sector systems. **Strengths:** - SQL and database expertise - System architecture and automation - Python development with production experience **Missing Required:** ETL tools experience, BI dashboard creation, Windows Server environment

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong, recent experience in infrastructure management, project execution, and team leadership, with direct application of relevant technologies (Docker, Linux, Python, CI/CD, security). Leadership and supplier management are evidenced by founder and consulting roles. The only minor gap is lack of explicit experience in the insurance sector, but the candidate's fast-learner profile and broad domain expertise mitigate this. **Strengths:** - Recent, hands-on infrastructure and project leadership - Demonstrated security and automation expertise - Proven fast-learner with intentional career progression toward technical leadership

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates exceptional technical expertise in AI infrastructure, systems architecture, and leadership in engineering. However, the role is an 'AI Sales Specialist Manager' explicitly requiring extensive sales experience (12 years) and leadership within a quota-carrying sales team (4 years), which the candidate entirely lacks. While his technical background is valuable for product understanding, the fundamental functional mismatch in sales experience leads to a poor fit for this specific position. **Critical Gaps:** - Complete lack of 12 years of experience in a sales role in enterprise software, cloud, or AI. - Complete lack of 4 years of leadership experience within a quota-carrying sales team. **Strengths:** - Deep technical expertise in AI infrastructure and enterprise systems, crucial for product understanding. - Proven leadership in engineering and operations, including building complex systems from scratch. - Fluent in both Portuguese and English, and a demonstrated 'Fast Learner' with strong business acumen. **Missing Required:** Experience selling AI technology to clients.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong architectural and leadership profile with extensive experience in building complex, automated systems and demonstrating exceptional learning agility. However, a significant gap exists in direct experience with core Microsoft Workplace technologies (SCCM, Intune, Office 365, Azure AD) which appear central to the role's technical requirements. Despite this, their strategic vision, mentorship capabilities, and transferable skills contribute to a good overall match. **Critical Gaps:** - Expertise in Microsoft Workplace platforms (SCCM, Intune, Office 365, Azure AD) and their hybrid/cloud architectures. **Strengths:** - Proven strategic vision and architectural design for complex systems. - Strong track record in building and automating production-grade infrastructure. - Exceptional 'Fast Learner' ability with a clear career trajectory towards advanced technical roles. **Missing Required:** Expertise in SCCM, Intune, Office 365, Azure AD platforms, Knowledge of Advanced Compliance and Conditional Access policies

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong capabilities in general automation, systems architecture, and AI infrastructure with a proven track record of building complex systems. However, the role is highly specific to UiPath RPA development, and the candidate entirely lacks direct experience with UiPath, REFramework, and Orchestrator, which are critical requirements. Additionally, specific web automation skills like Javascript, HTML, and XPath are also missing. **Critical Gaps:** - Experience with automação de processos utilizando UiPath - Development of automations na plataforma UiPath, utilizing REFramework e estrutura transacional de filas, bem como utilizando o Orchestrator - Ter atuado com Suite UiPath **Strengths:** - Extensive experience in diverse automation and systems architecture projects (JIT inventory, AI infrastructure, algorithmic trading). - Strong track record of self-teaching and rapidly acquiring complex technical skills, evidencing a 'Fast Learner' profile. - Proven ability to build and maintain production-level systems from concept to execution, including API and database integration. **Missing Required:** Conhecimento em Javascript, Conhecimento em HTML e xpath

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong Python and general systems architecture skills, a relevant Mechatronics background, and clear evidence of being a fast learner. However, the role requires highly specialized firmware and embedded systems expertise (C++, RTOS, specific hardware interfaces, and IoT protocols) which are largely absent from the candidate's recent experience and constitute a critical functional gap. **Critical Gaps:** - Core firmware development domain experience (C++, RTOS, specific hardware interfaces) **Strengths:** - Strong Python development with demonstrated application in complex systems - Solid systems architecture and automation experience (Docker, Linux, Git, CI/CD) - Foundational Mechatronics/Robotics background combined with proven fast-learning ability **Missing Required:** C++, EDA (KiCad, Altium, Eagle), Interfaces (USB UART, RS232, RS485, I2C, SPI, Flash, EEPROM), RTOS, OTA, Protocols (MQTT, Modbus)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] While the candidate possesses exceptional technical skills in infrastructure, automation, and AI, their experience is primarily in software architecture and development for new systems. The job explicitly requires extensive experience in enterprise IT operations management, IT support (including L3 incident management), user experience-focused vendor/contract management, and ITIL processes, which represent a critical functional domain mismatch. **Critical Gaps:** - Primary functional domain mismatch: The job's core is Enterprise IT Operations & Support Management with a focus on User Experience, vendor/contract oversight, and ITIL. The candidate's core expertise is in building, architecting, and developing advanced technical systems and AI infrastructure. **Strengths:** - Deep technical expertise in infrastructure, automation, and AI - Strong problem-solving and system-building capabilities - Proven fast learner with continuous development mindset **Missing Required:** Processos ITIL, 5+ years acting with enterprise IT support to complex operations (with UX and vendor management focus), Soluções Microsoft O365, Soluções de Videoconferência, Microinformática em geral

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong technical leader with extensive experience in systems architecture, data integration, and building automated production systems from scratch. Their 'fast learner' profile and career trajectory are highly aligned with technical leadership in data-driven environments, demonstrating robust inferred skills that compensate for specific tool or methodology gaps. **Strengths:** - Proven leadership and engineering operations experience in building complex, automated production systems. - Exceptional 'fast learner' ability, demonstrated by self-taught expertise in AI infrastructure and algorithmic trading. - Strong foundation in data management, systems architecture, and Python development, with a career trajectory aligned with technical leadership. **Missing Required:** Metodologias Ágeis (Scrum, Kanban), Ferramentas de gestão e documentação (Jira, Trello, Octane, Confluence), Testes de APIs e Serviços (Postman, SOAP-UI, JUnit)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong experience in automation, system integration, and technical leadership with a robust background in Python and architecture. However, a critical gap exists in the explicit requirement for experience or training in core RPA platforms like UiPath and Automation Anywhere, which are central to the job's responsibilities. Additionally, knowledge of VBA is a required skill that is missing. **Critical Gaps:** - Expertise and/or training in core RPA platforms (UiPath, Automation Anywhere) **Strengths:** - Extensive and recent experience in diverse automation, system design, and integration projects using Python. - Proven technical leadership, architecture, and mentorship capabilities from founding and engineering roles. - Demonstrated fast-learner profile with a clear career progression towards advanced technical and AI infrastructure roles, showing high adaptability. **Missing Required:** VBA

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating extensive experience in software development, infrastructure, and complex system architecture that significantly exceeds the requirements of a 'Pleno' role. They meet and surpass all technical and experience qualifications, showcasing a robust aptitude for automation, problem-solving, and continuous learning. Their career trajectory and hands-on experience with advanced infrastructure and AI systems make them an outstanding candidate. **Strengths:** - Extensive and senior experience in software development, automation, and system architecture. - Deep infrastructure skills including Docker, Terraform, Linux, and CI/CD, with practical experience in complex deployments (e.g., self-hosted LLM clusters, JIT inventory systems). - Proven fast learner with a clear, intentional career progression towards highly technical and AI infrastructure roles.