Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] The candidate demonstrates strong experience in systems architecture, automation, and AI infrastructure, with a clear trajectory toward technical and AI-focused roles. They have hands-on experience with LLM clusters, Python, cloud, and automation, and have led technical initiatives, but lack explicit pre-sales/consulting experience and direct Azure/Microsoft Fabric exposure. Most core requirements are met or inferable, with only a few nice-to-have and domain-specific gaps. **Strengths:** - AI infrastructure and LLM deployment - Automation-first systems architecture - Business-technical communication and leadership **Missing Required:** Direct experience with Microsoft Fabric and Azure, Explicit pre-sales/consulting for RFPs/RFIs

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates exceptional experience in process automation and building complex, data-driven systems, coupled with strong inferred capabilities in modern AI infrastructure like LLMs, RAG, and related concepts. While lacking direct experience with specific messaging APIs, their proven analytical skills and rapid learning ability make them a very strong match for this AI and Automation Analyst role. **Strengths:** - Exceptional experience in process automation and building complex, data-driven systems. - Strong inferred capabilities in modern AI infrastructure, including LLMs, RAG, and related concepts. - Proven analytical and problem-solving skills with a track record of translating business needs into technical solutions.

[ANALYSIS_REPORT] **REJECT - Hard filter failure (student requirement) + Complete domain mismatch** [Copilot: Sonnet4.5] AUTOMATIC DISQUALIFICATION: This is a student internship requiring active enrollment in Marketing, Graphic Design, or Advertising. The candidate completed his degree in 2014 and is not currently a student, failing the hard demographic filter. Additionally, this is a junior graphic design role requiring visual design skills (Canva/Illustrator/Photoshop), while the candidate is a senior systems architect with 10+ years in operations, supply chain, and technical infrastructure—zero overlap in skills or career trajectory. **Critical Gaps:** - NOT A STUDENT - Hard filter failure for internship requiring active university enrollment - Completely different career domain - Systems Architecture/Operations vs Graphic Design - Zero visual design experience or portfolio - Senior-level professional (10+ years) applying to junior internship (R$1,200/month) **Strengths:** - Strong analytical and systems thinking - Process automation expertise - Fast learner demonstrated across domains **Missing Required:** Active enrollment in Marketing, Design, or Advertising program (BLOCKING), Canva knowledge, Illustrator OR Photoshop knowledge, Responsive design knowledge, Graphic design experience

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates exceptional aptitude for system building, automation, and problem-solving, with strong inferred technical skills in programming, databases, and APIs. Although the role is 'Junior Developer,' his proven 'fast learner' ability and extensive experience in creating functional systems make him a highly promising and capable candidate for immediate contribution and rapid growth. **Strengths:** - System Design & Automation Expertise: Proven ability to build and automate complex systems from scratch. - Exceptional Problem-Solving & Learning Agility: Demonstrated track record of self-teaching and effectively tackling complex technical and business problems. - Strong Data Management & API Integration Acumen: Extensive experience in ensuring data integrity, building reporting, and integrating systems for operational efficiency.

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates strong skills in general IT, infrastructure, business analysis, and system architecture, which align well with the 'TI' aspects of the role. However, a critical gap exists in the core domain of GIS/ArcGIS and Natural Resources, which is a fundamental requirement for this position. **Critical Gaps:** - Required GIS/ArcGIS/ESRI platform knowledge (core domain mismatch) **Strengths:** - Strong IT/Infrastructure and Systems Architecture background - Extensive experience in Business Analysis and Requirements Gathering - Proven Fast Learner with a track record of building complex systems **Missing Required:** Conhecimento do sistema ArcGIS, Conhecimento de SIG

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate is an exceptionally strong match, demonstrating deep practical experience in building and deploying AI infrastructure, robust automation, and data pipelines, along with all required technical skills and strong communication. Their 'fast learner' profile and career trajectory are highly aligned with the role. **Strengths:** - Proven ability to design, build, and deploy complex AI and automation systems from inception to production. - Deep practical experience with Python, Cloud (AWS), and robust data pipeline management. - Exceptional 'Fast Learner' profile with a clear, intentional career progression into AI infrastructure.

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] The candidate meets all hard requirements: based in Brazil, fluent in English (C2), and has a technical degree (Engineering, with strong software and AI infrastructure experience). Demonstrated hands-on Python, JavaScript, and AI project delivery, with clear evidence of code review, automation, and technical writing. The only notable gap is lack of explicit Spanish proficiency, which is required for some tasks. **Critical Gaps:** - Spanish proficiency (blocking for Spanish-language tasks) **Strengths:** - Proven AI and automation project delivery - Strong analytical and problem-solving skills - Clear technical communication and documentation **Missing Required:** Spanish proficiency

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Haiku] Strong systems architect with proven automation and operational database expertise, likely Python skills (inferred from trading/scraping systems). Primary gap is no explicit C# or .NET experience, though job description permits Python as alternative. Operations-to-systems progression actually aligns well with internal tools responsibilities. **Critical Gaps:** - No explicit .NET ecosystem experience - role centers on C# internal tools maintenance **Strengths:** - Systems architect thinking perfectly suited for internal tools design - demonstrates infrastructure-first mentality - Deep operational/database expertise - cleaned 4000+ ERP records, designed validation logic, managed data integrity across complex systems - Technical leadership & mentoring capability - leads engineering teams, explains complex logic to stakeholders, supports junior staff exactly as role requires **Missing Required:** C# programming (though Python is likely present and listed as acceptable alternative)

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate presents strong leadership, system design, and transferable domain experience, supported by a proven ability to self-teach complex technologies. However, the core requirements for hands-on Full Stack development in .NET (C#) and Vue.js are critically absent, along with explicit experience in messaging queue solutions. **Critical Gaps:** - .NET (C#) development - Vue.js development **Strengths:** - Technical Leadership & Team Management - System Architecture & Design - Cloud Infrastructure Knowledge (in progress) **Missing Required:** .NET (C#) development, Vue.js development, Filas e Mensageria solutions, Full Stack Development (with required technologies), Microservices Architecture (explicit project experience)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates exceptional alignment with the job's core data engineering and architecture requirements, showcasing strong leadership, automation, and data quality experience. His proven fast-learning ability and intentional career trajectory further enhance his fit, despite minor gaps in explicit technology mentions. **Strengths:** - Strong Data Quality & Integrity Experience - Demonstrated Leadership & Business Acumen (tech-business bridge) - Proven ability to build and automate complex data-driven systems **Missing Required:** Agile Methodologies

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate demonstrates strong systems thinking, business analysis skills, and proven fast-learning ability (self-taught AI infrastructure, trading algorithms). However, completely lacks all required technical stack: no C# development, Oracle database, Kafka messaging, or GitHub experience. Role requires hands-on software development, not operations architecture. **Critical Gaps:** - C# development - BLOCKING - Oracle database - BLOCKING - Kafka/messaging systems - BLOCKING **Strengths:** - Systems analysis and requirements gathering from business areas - Strong business-to-technical translation skills (worked with C-level, engineers) - Fast learner with self-taught technical projects **Missing Required:** C# development experience, Oracle database experience, Kafka or similar messaging platform, GitHub version control

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Strong recent DevOps fundamentals (Docker, CI/CD, Bash/Python, Linux, cloud) but lacks proven Azure DevOps and IaC (Terraform/ARM/Bicep) plus Kubernetes/AKS required by the role. Fast learning and systems architecture background suggest ramp-up potential, yet Azure-specific gaps are currently blocking. **Critical Gaps:** - No proven Azure DevOps/Azure Cloud experience - BLOCKING - No IaC with Terraform/ARM/Bicep - BLOCKING - No Kubernetes/AKS orchestration experience - BLOCKING **Strengths:** - Recent hands-on CI/CD and Git experience - Docker/Linux self-hosted infrastructure and automation - Fast learner with systems architecture bridging business and engineering **Missing Required:** Azure Cloud focus, Azure DevOps Services (Pipelines, Repos, Artifacts, Boards), Terraform or ARM Templates or Bicep, PowerShell, Kubernetes/AKS, CI/CD for microservices, CI/CD for serverless, Git branching strategies, Azure networking/security/cloud best practices

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong experience in automation, data integrity, and building operational systems, with clear evidence of Python, SQL, and data pipeline work. However, there is no explicit experience with AWS S3, Glue, RedShift, Lambda, Databricks, PySpark, or SnapLogic, which are core to the role. The candidate's trajectory and fast-learner profile are strong, but the lack of direct cloud data engineering experience is a notable gap. **Critical Gaps:** - No direct experience with AWS or Databricks ecosystem - BLOCKING for senior data engineering roles **Strengths:** - Automation-first mindset - Data integrity and process improvement - Rapid system delivery and adaptation **Missing Required:** Hands-on AWS ELT pipeline development, Databricks, PySpark, SnapLogic

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates strong general development and functional knowledge, coupled with an impressive fast-learner trajectory and transferable experience from other ERPs and automation projects. However, the lack of direct experience with Microsoft Power Platform and Dynamics 365, particularly the Customer Service module, represents a significant gap for this role. **Critical Gaps:** - Power Platform Microsoft - Dynamics 365 - Dynamics 365 Customer Service module **Strengths:** - Strong system design and automation capabilities across diverse projects. - Proven 'fast learner' with a track record of building complex systems from scratch. - Extensive functional knowledge in operations, supply chain, and business processes.

[ANALYSIS_REPORT] **TOP** [2.5-Flash] Candidate demonstrates exceptional self-taught capabilities in AWS, Linux, Docker, Kubernetes, CI/CD, Python, and SQL, having built complex systems from scratch. While specific Azure, GCP, Windows server administration, and application server (JBoss/Tomcat/IIS) experience are noted gaps, their strong career trajectory and proven fast-learning ability position them as a highly adaptable and valuable candidate for a Senior DevOps role with an AWS focus. **Critical Gaps:** - Windows server system administration - Application servers (JBoss, Tomcat, IIS .NET) specific experience **Strengths:** - Extensive practical experience in AWS, Linux, Docker, Kubernetes, CI/CD, Terraform, Python, and SQL. - Demonstrated ability to build and operate complex, automated production systems from initial concept to deployment. - Exceptional 'Fast Learner' with a clear career progression into technical/AI infrastructure, showing strong adaptability and problem-solving skills. **Missing Required:** Azure environments (designing/building core services), Windows server system administration, Azure DevOps, JBoss, Tomcat, IIS (.NET), Java (as common cloud programming language), PHP (as common cloud programming language), GCP (deep multi-cloud experience)

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate shows strong systems thinking and automation mindset that aligns with the role's philosophy, but lacks the core technical stack entirely. No AWS, PySpark, or data engineering experience present. Background is primarily operations/supply chain with self-taught technical projects. While fast learner evidence is compelling (self-hosted LLM clusters, trading bots, scraping systems), this role requires immediate AWS Glue/PySpark proficiency for data pipeline work—a significant career pivot from current trajectory. **Critical Gaps:** - Zero data engineering experience - candidate background is operations/supply chain - No cloud infrastructure experience (AWS ecosystem completely absent) - No big data processing experience (PySpark/Spark) - No proven Python development experience in professional context **Strengths:** - Automation-first mindset matches role philosophy - Strong systems thinking and architecture capabilities - Fast learner with evidence of building complex systems from scratch - Perfect location and language match (São Paulo, Portuguese/English) - Experience translating business requirements into technical solutions **Missing Required:** PySpark, AWS Glue, AWS ecosystem (S3, Lambda, SNS, etc.), ETL pipeline development, Git (not mentioned, though likely used), Explicit Python experience (inferred but not stated)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates exceptional experience in building and optimizing data-intensive automation systems, aligning perfectly with the Senior Data Integration Engineer role. Their proven proficiency in required technologies, strong inferable skills, and impressive learning agility make them a top-tier match. **Strengths:** - Extensive experience in data system architecture and automation across multiple domains. - Proven expertise in SQL, CI/CD, SDLC, cloud environments, and robust English communication skills. - Exceptional learning agility and a clear career trajectory aligned with senior technical and AI roles. **Missing Required:** NoSQL database technologies

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate exhibits strong systems design, automation, and data handling capabilities with relevant business domain experience. However, a critical gap exists in the explicitly required legacy programming languages (Cobol/Dataflex), significantly impacting the match score. **Critical Gaps:** - Cobol - Dataflex **Strengths:** - Strong systems design and automation expertise - Proven ability to build complex data-driven systems and automation workflows - Excellent communication and stakeholder management with C-level experience **Missing Required:** Cobol, Dataflex, Swagger, Postman

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates exceptional experience in operational efficiency, data analysis, and system building, directly aligning with most core requirements for an Operations Analyst. A minor gap exists in direct experience with specific embedded transport technology and hands-on driver training. **Strengths:** - Extensa experiência em otimização de operações e automação de processos. - Fortes habilidades analíticas e de resolução de problemas, com foco em decisões baseadas em dados. - Histórico comprovado na construção e melhoria de sistemas técnicos e gestão de projetos complexos. **Missing Required:** Direta experiência em treinamento prático de motoristas e equipe de transportadores sobre o uso de aplicativos e portais específicos do Fretadão.

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate exhibits strong capabilities in system architecture, automation, and AI infrastructure, backed by a significant track record of self-directed learning and project delivery. However, the absence of explicit experience with the required Java, SpringBoot, Angular, and Javascript stack, along with application security, presents a significant challenge for this specific development role. **Strengths:** - Strong system building and automation expertise (e.g., e-commerce automation, ATS). - Robust AI infrastructure and data transformation capabilities. - Proven ability to learn complex technologies and deliver production systems. **Missing Required:** Java, SpringBoot, Angular, Javascript, Scrum, Kanban, Application Security

[ANALYSIS_REPORT] **LOW** [Copilot: Haiku] Candidate is a systems architect/operations engineer with strong technical foundations (Python, Linux, infrastructure, SQL) and demonstrable learning velocity, but lacks the specific domain requirements: no chemical engineering degree, no process engineering/simulation experience, and no AVEVA product exposure. Technical support/training roles require domain expertise that cannot be rapidly acquired. **Critical Gaps:** - No chemical engineering background (Bachelor's required) - No process simulation experience (AVEVA's core domain) - No demonstrated oil & gas or process industry exposure - Career trajectory is IT/infrastructure, not chemical/process engineering **Strengths:** - Strong technical foundation across infrastructure, scripting, and system design applicable to troubleshooting complexity - Proven ability to learn complex domains rapidly (self-taught AI, ERP systems, trading algorithms) - Excellent documentation and communication skills (written updates, KPI reporting, technical clarity) **Missing Required:** Bachelor's degree in Chemical Engineering (requirement), 1 year process engineering or process simulation experience (requirement)

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates robust experience in data extraction, transformation, and automation through building complex systems and managing data integrity. While specific Big Data and enterprise BI tools are not explicitly mentioned, their strong analytical background and proven ability to design data-driven solutions are highly relevant to a Data Engineer I role. **Strengths:** - Strong ability to design and implement automated data flows and systems from scratch. - Proven experience in data quality, integrity, and transformation across various domains. - Excellent business acumen, translating strategic needs into concrete data-driven solutions. **Missing Required:** Conhecimentos básicos em ferramentas de Big Data (Databricks, Spark, Hive, HBase)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] Strong alignment with ownership/automation culture and experience architecting operational systems, but there is no explicit experience with Android/Kotlin, C#/modern backend stacks, or POS/hardware lifecycle required for this Software Engineering Manager role. Leadership and systems thinking are present, yet the candidate appears more operations/supply-chain/quant-focused than hands-on mobile/backend engineering leadership in large-scale payment environments. **Critical Gaps:** - Ausência de experiência comprovada com ecossistema Android moderno (Kotlin, Jetpack Compose, POS/devices físicos) - Falta de histórico claro em desenvolvimento backend com C# ou linguagens modernas em ambientes de alta escala - Nenhuma evidência direta de gestão de times multidisciplinares de engenharia de software focados em produtos de pagamento ou mobile **Strengths:** - Histórico consistente de transformar operações desorganizadas em sistemas mensuráveis e automatizados com foco em dados e KPIs - Forte capacidade de tradução entre negócio e tecnologia, atuando como arquiteto de sistemas operacionais junto a executivos e times técnicos - Trajetória intencional rumo a funções mais técnicas e orientadas a automação, com evidências de autoaprendizagem rápida em novos domínios **Missing Required:** Experiência liderando times multidisciplinares com foco em Android (Mobile/POS) e Backend, Forte conhecimento em Android moderno (Kotlin, Jetpack Compose), Experiência em arquitetura Backend com C# ou similares, Familiaridade com estratégias de código compartilhado (KMP/CMP), Experiência com ciclo de vida de releases em aplicativos críticos ou terminais físicos, Experiência prévia implementando cultura de RFCs/Design Docs, Liderança prática baseada em princípios ágeis com foco em métricas de saúde do time e eficiência de entrega

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate's extensive experience in systems engineering, operations, and automation does not align with the core requirements of B2B client portfolio management and credit product sales in a banking environment. The absence of mandatory certifications like CPA-10 and direct client-facing financial experience represents critical gaps for this role. **Critical Gaps:** - CPA-10 (mandatory certification) - Experiência com gestão de carteira de clientes PJ **Strengths:** - Fast Learner with proven self-teaching track record - Strong Systems & Automation Background - C-level Communication and Stakeholder Management **Missing Required:** CPA-10, Gestão de carteira de clientes PJ, Experiência com produtos de crédito

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong match on data/operations fundamentals, automation-first systems, ETL-style pipelines and analytics; however there is no demonstrable, hands-on experience with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage) which the role requires. Transferable skills and recent leadership in production automation make the candidate trainable, but the lack of proven GCP delivery reduces the fit. **Critical Gaps:** - No demonstrable, solid GCP experience (BigQuery/Dataflow/PubSub/Cloud Functions/Cloud Storage) — blocking for a role that requires proven GCP delivery **Strengths:** - Delivered automation-first procurement/inventory systems with production impact - Proven data integrity work (ERP cleansing, validation rules) and reporting accuracy - Delivered analytics and quant systems (trading, ATS scraping) demonstrating end-to-end delivery **Missing Required:** Sólida e comprovada experiência em Google Cloud Platform, Domínio de BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage, Experiência prática com Looker, Elaboração de memórias de cálculo e estimativas TCO para GCP