Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate is an exceptionally strong match, demonstrating extensive experience in solution architecture, client-facing technical leadership, and logistics/supply chain systems, combined with robust technical skills and a proven rapid learning ability. While some specific tools are missing, the foundational skills and relevant domain expertise are outstanding. **Strengths:** - Solution Architecture & Client-facing leadership - Strong SQL & Data Systems design/implementation - Logistics/Supply Chain domain expertise with automation focus **Missing Required:** Jira, Confluence, Smartsheet

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate presents strong experience in general systems architecture, cloud strategy, and product development from a founder's perspective, complemented by excellent communication and stakeholder management skills. However, a notable gap exists in specific conversational AI expertise, which is a core requirement for this role. **Critical Gaps:** - Deep expertise in Conversational AI technologies **Strengths:** - Strong Systems Architecture & Design experience - Demonstrated Product Strategy and GTM capabilities (Founder experience) - Exceptional communication and stakeholder management skills **Missing Required:** LLMs, NLU, TTS, Intent Recognition, multi-turn dialogue management, real-time voice services

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate's profile as a Systems Engineer with a strong background in automation and data-driven operations does not align with the specific requirements of an Architect role. The critical absence of an Architecture degree and active CAU registration makes this an unsuitable match. **Critical Gaps:** - Graduação em Arquitetura e Urbanismo - CAU ativo - Core domain expertise in architectural design and project management **Strengths:** - Proven ability to build and automate complex systems - Strong problem-solving and systemic thinking skills - High proficiency in English (C2) and data-driven approach **Missing Required:** Experience with corporate projects (office environments) in an architectural capacity, Proficiency in architectural design software (Autocad, Sketch up, enscape, adobe package)

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates strong architectural and systems engineering skills, cloud experience, and proficiency in English. However, for a 'Lead React Framework Architect' role, the complete lack of explicit, architect-level React experience for 8+ years is a critical, blocking gap. Additionally, in-depth understanding of system security and software memory/performance optimization are not clearly demonstrated. **Critical Gaps:** - 8+ years of architect-level experience with React **Strengths:** - Software Architecture Design & Systems Thinking - Distributed & Cloud Solutions, CI/CD Pipelines Management - Advanced English Communication & Proven Fast Learner **Missing Required:** Strong understanding of system security, In-depth knowledge of memory management and performance optimization (software applications)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Strong architecture, CI/CD, cloud, and database background with leadership and C2 English, but lacks demonstrable React depth required for a Lead React Framework Architect. Recent work shows systems and infrastructure strength rather than front-end React expertise or performance/memory internals. Overall trajectory is toward systems/AI infra, not React platform leadership. **Critical Gaps:** - 8+ years of hands-on React experience - Demonstrated leadership specifically in React framework/platform architecture - In-depth React performance and memory management expertise **Strengths:** - Software architecture and system design - CI/CD pipeline management and automation - Cloud and containerization experience **Missing Required:** React (expert-level, 8+ years), In-depth memory management knowledge, Strong system security expertise in application context, Non-relational database experience, Proven React performance optimization

[ANALYSIS_REPORT] **LOW** [Copilot: Haiku] Candidate demonstrates strong systems architecture, operations, and infrastructure fundamentals with proven self-teaching ability and production delivery. However, the role requires 13+ years of Azure PaaS-specific expertise and IIS hosting knowledge—the candidate has 10 years total IT experience with zero demonstrated Azure background, operating primarily on AWS/Linux/open-source stack. This represents a fundamental technology stack mismatch rather than a simple skill gap. **Critical Gaps:** - Zero Azure experience vs. 5+ years required (BLOCKING) - Missing 3 years of required 13 years IT experience (BLOCKING) - No IIS/Windows Server background; career entirely on Linux/open-source stack (BLOCKING) - AWS expertise does not transfer well to Azure-specific role (different ecosystems, tooling, governance) **Strengths:** - Strong systems thinking and operational reliability focus—brings disciplined approach to infrastructure decisions - Proven rapid learning and self-taught capability (built production systems without prior domain expertise); could accelerate Azure ramp-up - Database connectivity and data integrity expertise directly applicable to Azure SQL and connectivity layers **Missing Required:** 13+ years IT experience (has 10), 5+ years Azure PaaS hosting and modernization, Hands-on Azure App Service and Functions deployment, IIS configuration and management, Kubernetes/AKS deployment experience, Enterprise application migration track record

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] This is a fundamental domain mismatch. The job requires architectural design experience with building projects (residential/commercial), Revit proficiency, and construction expertise. The candidate is a systems/operations engineer with automation and supply chain experience, but zero building architecture background. **Critical Gaps:** - Building/Construction Architecture - BLOCKING - Revit Software Proficiency - BLOCKING - Architectural Design Portfolio - BLOCKING **Strengths:** - English Proficiency (C2) - Project Management - Systems Thinking **Missing Required:** Revit, Architectural Design Experience, Building Construction Knowledge

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates strong capabilities as a Systems Architect with expertise in automation, data integrity, and operational optimization, along with fluent English. However, there is a critical and fundamental mismatch with the Building/Design Architecture domain, and the required software skill, Revit, is entirely absent. **Critical Gaps:** - Building/Design Architecture domain knowledge and experience (candidate is a Systems Architect) **Strengths:** - English Fluency (C2) - Automation and Systems Building - Operational Process Optimization **Missing Required:** Revit

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate presents strong general systems architecture, cloud infrastructure, and automation skills with significant data-related project experience, aligning well with many Principal Architect responsibilities. However, a lack of explicit 'Data Architect' experience with a specific focus on modern data platform migrations and Snowflake leads to a realistic, but still high, match. **Strengths:** - Strong Systems Architecture & Cloud Infrastructure Experience - Excellent Automation & Data Quality Track Record - Proven Fast Learner & Leadership Skills **Missing Required:** Proven experience as a Data Architect (specifically for modern data platform design and migration)

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate's expertise lies in systems architecture and automation, which is a critical domain mismatch for a physical scenography and 3D design role requiring SketchUp mastery. **Critical Gaps:** - Design for physical spaces (stands, scenography) - Experience with 3D modeling and graphic design software for physical structures **Strengths:** - Proven ability in system design and automation. - Strong analytical and problem-solving skills. - Exceptional 'fast learner' aptitude and ability to build complex systems from scratch. **Missing Required:** SketchUp

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Strong infrastructure and systems thinking, with proven rapid learning ability (built full ATS platform in weeks). However, missing all three primary languages (.NET, Java, Angular/React) and lacks Azure PaaS experience, which are core to this role. Experience is operations-heavy rather than pure development-focused. **Critical Gaps:** - .NET development - BLOCKING - Java development - BLOCKING - Azure platform expertise - BLOCKING **Strengths:** - Demonstrated rapid technical learning (Go/JavaScript platform in weeks) - Infrastructure experience (Docker, CI/CD, cloud, self-hosted clusters) - Database experience across SQL variants - Systems architecture and operational excellence mindset **Missing Required:** .NET (13+ years), Java, Angular or React, Azure PaaS migration experience, IIS hosting, Kubernetes depth, 13+ years development experience (has ~10 years mixed)

[ANALYSIS_REPORT] **LOW** [Copilot: Haiku] Strong SQL and AWS foundation with excellent data governance and communication skills, but lacks the required 5+ years of Snowflake-specific expertise and dbt experience. For a specialized 6-month contract role, the absence of Snowflake architecture experience and cloud data warehouse background is a critical blocker despite demonstrated fast-learning ability. **Critical Gaps:** - Zero Snowflake experience (role requires 5+ years as Snowflake Architect) - No cloud data warehouse migration background - No dbt or modern ELT tool experience - No Snowflake certification **Strengths:** - Strong SQL fundamentals across multiple databases with proven data modeling and governance implementation - Proven AWS infrastructure experience with self-hosted systems and cloud platform knowledge - Exceptional communication, stakeholder management, and ability to translate complex requirements into executable solutions **Missing Required:** Snowflake Architect-level expertise, Proven large-scale data migrations to cloud DW, Snowpark experience, dbt hands-on experience

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate is automatically disqualified as the job requires mandatory in-person presence in Rio de Janeiro, while the candidate is based in São Paulo, Brazil. **Strengths:** - Proven ability to build and operate complex automated systems from scratch - Strong background in systems architecture, operations, and data analytics - Demonstrated fast-learner aptitude with continuous self-development (AI, AWS, MIT)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Strong operations/systemization background with data governance and procurement automation, but lacks explicit cloud/API/microservices architecture and onsite availability in Rio. Good stakeholder interface and documentation hints, yet key technical requirements and industry-specific experience are not evidenced. Hard filter: onsite in Rio appears unmet. **Critical Gaps:** - Disponibilidade presencial no Centro do Rio de Janeiro - BLOCKING - Arquitetura de soluções em nuvem e microserviços - BLOCKING **Strengths:** - Arquitetura operacional e automação de compras/inventário - Saneamento e confiabilidade de dados ERP - Tradução de estratégia em escopos e comunicação executiva **Missing Required:** Desenho técnico de soluções e integrações, Definição de modelos para APIs e microsserviços, Conhecimentos explícitos em programação e fundamentos de computação, Gestão de projetos nos modelos cascata e ágil, Infraestrutura e ambientes em nuvem, Documentação técnica de integrações

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates strong Python, AWS, and SQL skills applied to complex, large-scale systems, and has a proven track record as a fast learner in an entrepreneurial setting. While missing specific experience with Kafka and some nice-to-have data tools, their background in building automation and AI infrastructure makes them a strong match for a Senior Backend Engineer role. **Strengths:** - Strong Python, AWS, and SQL expertise applied to large-scale, complex systems. - Proven track record of rapidly building and deploying automation and AI infrastructure from scratch, demonstrating significant self-teaching and ownership. - Intentional career progression into technical/AI roles and valuable experience leading systems development in a startup environment. **Missing Required:** Kafka

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate has strong systems thinking, C-level stakeholder management, and practical transformation experience, but lacks critical Microsoft 365/Copilot ecosystem expertise, formal change management certifications (Prosci/CCMP), and enterprise consulting background that are core to this role. The gap between building custom automation systems and leading enterprise-wide Microsoft Copilot adoption is substantial. **Critical Gaps:** - No Microsoft ecosystem experience (Copilot, M365, Azure AI) - No formal change management certification (Prosci/CCMP/ACMP) - No enterprise consulting background with large organizations - No Microsoft certifications (AI-900, SC-900, MS-900, PL-900, ITIL) **Strengths:** - English C2 proficiency (exceeds C1 requirement) - Strong C-level communication and business-technical translation - Proven track record transforming operations with measurable KPIs **Missing Required:** Microsoft 365 and Copilot experience, Prosci or equivalent change management framework, RICE/ICE backlog prioritization experience, M365 analytics tools (Admin Center, Adoption Score, Viva Insights), Microsoft adoption frameworks

[ANALYSIS_REPORT] **HIGH** [Copilot: Haiku] Strong architectural and full-stack engineering match with proven rapid prototyping ability and AI infrastructure experience. Candidate exceeds the 5+ years requirement and demonstrates system design, automation, and entrepreneurial capability in the finance domain. Primary gap is lack of explicit Claude/Codex/mono-repo experience, though demonstrated fast-learner profile and AI infrastructure background suggests quick ramp-up capability. **Critical Gaps:** - No explicit coding agent framework experience (Claude/Codex specified in role) **Strengths:** - 10+ years systems architecture and technical leadership with proven full-stack development (ATS platform built in weeks with Go/JavaScript/AI tools) - Self-taught AI infrastructure engineer with autonomous LLM cluster deployment—demonstrates ability to master new frameworks rapidly - Finance domain expertise with entrepreneurial founder experience managing 40-50 orders/day automation system, aligning with finance/M&A workflow requirements **Missing Required:** Claude API/Claude Code integration patterns, Mono-repo infrastructure management patterns

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate shows strong foundational skills in automation, operational system management, and a significant 'fast learner' ability. However, there are critical gaps in direct experience with specific DevOps tools explicitly required, such as AWS services, GitLab, Jenkins, Terraform, Docker, and Ansible. **Strengths:** - Demonstrated 'Fast Learner' ability with complex system builds. - Strong experience in automation, operational management, and system reliability. - Proficiency in Python and fundamental infrastructure concepts (Linux, Networking). **Missing Required:** Ansible, AWS (encompassing EC2, S3, RDS, Lambda, EKS), GitLab, Jenkins, Terraform, Docker, Serverless (specifically AWS Lambda), GitFlow

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate demonstrates strong consultative and data architectural skills, proven through systems automation and C-level communication, but has critical gaps in specific cloud platforms and modern data technologies. **Critical Gaps:** - Cloud Platforms (AWS, GCP, Azure) **Strengths:** - Strong consultative and communication skills with C-level stakeholders - Proven experience in data architecture and building automated data pipelines - Demonstrated ability to apply AI/algorithmic solutions to business problems **Missing Required:** Snowflake, Databricks, DBT, AWS, GCP, Azure

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate demonstrates strong experience in data analysis, process automation, and system architecture with excellent requirements gathering skills. However, there are significant critical gaps in specific Power Platform tools (Power BI, Power Automate, Power Apps) and modern web frontend technologies (JavaScript, React, HTML5, CSS3) crucial for this role. **Critical Gaps:** - Power Platform (Power BI, Power Automate, Power App) - Modern Web Frontend (JavaScript, React, html5, CSS3) **Strengths:** - Strong capabilities in data analysis, reporting, and process automation. - Proven ability to build complex, data-driven systems from scratch. - Excellent skills in requirements gathering, stakeholder management, and business-to-tech translation. **Missing Required:** Programação de testes unitários e de integração, Microserviços

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate is automatically disqualified as they do not meet the critical language requirement of professional proficiency in Spanish for technical communication, which is a hard filter for this role. Despite strong technical qualifications, this specific language proficiency is explicitly required. **Critical Gaps:** - Spanish (Language Requirement for Technical Communication) **Strengths:** - Extensive experience in building and operating complex technical systems, including AI infrastructure - Strong programming skills (Python, JavaScript, Go) directly applicable to the role - Proven fast learner with a clear career trajectory towards AI and technical roles **Missing Required:** Spanish (Professional Proficiency)

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4.5] Strong backend Python engineer with exceptional AI/ML infrastructure experience and proven fast-learning capability. Built full-stack ATS platform recently despite limited prior coding background. Missing explicit React/Next.js frontend experience, but demonstrated rapid skill acquisition and full-stack capability suggests this gap is quickly closeable. **Strengths:** - Exceptional AI/ML expertise with self-hosted LLM clusters - directly relevant to AI integration role - Proven fast learner who built production full-stack system in weeks with no prior background - Strong Python + AWS + CI/CD experience with hands-on production systems **Missing Required:** React/Next.js (frontend frameworks), Flask or FastAPI (specific Python frameworks)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate is an exceptionally strong match, demonstrating deep analytical expertise, robust technical skills in Python and SQL, and direct experience in financial services and data infrastructure development. His background in quantitative disciplines and proven ability to build impactful, scalable data solutions aligns perfectly with the Data Analyst role at Revolut. **Strengths:** - Exceptional analytical and quantitative background, evidenced by engineering degree and MIT MicroMasters, directly applicable to data analysis. - Profound technical proficiency in Python and SQL, demonstrated through building complex automated systems, trading algorithms, and AI infrastructure. - Extensive and relevant experience in financial services and data infrastructure, with a strong track record of designing and implementing impactful data solutions.

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates strong capabilities in systems architecture, automation, and data integrity with a proven fast-learner track record. While direct experience with Node.js and TypeScript is missing, inferred skills and a history of building complex production systems from scratch suggest high adaptability. **Strengths:** - Exceptional ability to design, build, and operate complex, automation-first systems from scratch. - Proven track record of rapidly acquiring new technical skills and delivering tangible results (e.g., self-taught AI infrastructure, algorithmic trading). - Strong understanding of data integrity, architectural logic, and operational efficiency across various domains. **Missing Required:** Node.js, TypeScript, Messaging, Microsservices

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate presents an exceptional background in systems architecture, process automation, and data-driven project delivery, making them a strong fit for a Product Owner role. However, a critical gap in specific Ad-Tech/MarTech and CDP ecosystem knowledge, which is a key requirement for this position, lowers the overall match quality despite high scores in other areas. **Critical Gaps:** - Industry Knowledge (Ad-Tech/MarTech Ecosystem, specifically CDPs, DMPs, DSPs, and SSPs) **Strengths:** - Exceptional track record in process automation, system design, and data-driven operational improvements directly applicable to product ownership. - Strong leadership and communication skills, effectively bridging business and technical teams and translating intent into execution. - Demonstrated fast learning ability and rapid system delivery, indicating high adaptability and capability to quickly grasp new technical challenges. **Missing Required:** Basic understanding of Ad-Tech/MarTech ecosystem (CDPs, DMPs, DSPs, SSPs), Ability to align working hours with UTC+1 business day