Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates an outstanding match, showcasing strong architectural and leadership skills, coupled with direct experience in deploying AI infrastructure and complex automated systems. His fast-learner ability and infrastructure-first approach mitigate the lack of explicit experience in specific Azure services and Gen AI frameworks. **Strengths:** - Strong Engineering Mindset and proven ability to build complex, production-ready AI/Automated systems from scratch, including self-hosted LLM clusters. - Excellent System Architecture and Technical Leadership experience, demonstrated through roles like 'Head de Engenharia e Operações' and 'Arquiteto de Sistemas' with an 'infrastructure-first' reasoning. - Exceptional 'Fast Learner' ability with a value-centric approach, capable of quickly acquiring new technical skills and delivering impactful, measurable solutions. **Missing Required:** Deep understanding of specific Microsoft Azure services, Experience with specific Generative AI frameworks (LangChain, LlamaIndex), Experience with specific DevOps/CI/CD tools (GitHub Actions, Azure DevOps), Experience with specific Infrastructure as Code tools (Terraform, ARM templates, Bicep), Understanding of Global AI regulations and AI Governance

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate demonstrates strong general systems architecture, automation, and data governance experience, along with foundational cloud and scripting skills. However, they lack explicit, demonstrated experience in core data warehousing architecture patterns (multi-tenancy, data zones, metadata management) which are critical for this specific 'Data Platform Architect' role. **Critical Gaps:** - Multi-tenant system design (including automated onboarding/offboarding workflows) - Data zone strategy (Raw Staging Serving), partitioning, and schema evolution patterns - Data contracts, metadata cataloging, and lineage tracking **Strengths:** - Strong automation and end-to-end system building capabilities - Proven data governance and data quality focus - Excellent problem-solving and rapid learning ability **Missing Required:** Explicit 8+ years in data engineering/architecture role, Expertise in Redshift, Snowflake, or equivalent MPP databases with workload management/query optimization (beyond general SQL), Proficiency with S3-based data lakes, Glue Data Catalog, and Lake Formation (beyond general AWS)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Strong automation mindset and systems thinking align well with chatbot workflow design. Demonstrated ability to build complex automated systems and translate business needs to technical solutions. However, lacks explicit chatbot development and low-code platform experience, though fast-learner profile suggests quick adaptation. **Strengths:** - Automation-first system design (e-commerce procurement, 40-50 orders/day) - Business-to-technical translation and stakeholder management (C-level interface) - Fast learner with self-taught technical systems (ATS scraping, trading algorithms, ERP validation logic) **Missing Required:** Explicit chatbot development experience, Named low-code platforms (Power Automate, n8n), SQL explicitly mentioned

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Strong match on automation-first system design, data integrity/ERP work, and production automation—all recent and highly relevant to chatbot integrations and backend workflows. Missing explicit low-code chatbot platform experience (Power Automate / n8n) and direct chatbot maintenance, which reduces fit for an immediately productive hire but is learnable given the candidate's proven rapid upskilling. **Strengths:** - Recent, hands-on automation and systems architecture for commerce workflows - Proven data integrity and ERP/reporting remediation at scale (4,000+ item records) - Strong cross-functional communication and ability to translate business needs to technical scope **Missing Required:** Hands-on experience developing/maintaining chatbots on low-code platforms (Power Automate / n8n), Operational production support for chatbots (SLA/observability specifics)

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate presents a very strong profile with extensive systems architecture, automation, and AI infrastructure experience, directly aligning with the data platform role's emphasis on scalable solutions and ML enablement. While specific tools like Snowflake, dbt, Airflow, and Atlan are missing, the foundational skills, rapid learning ability, and leadership in similar complex system-building are exceptional. **Strengths:** - Exceptional systems architecture and platform building expertise, with practical experience in CI/CD and self-hosted AI infrastructure. - Profound understanding and application of data quality, validation, and monitoring in critical business operations. - Proven leadership in managing complex initiatives, influencing technical roadmaps, and a demonstrated ability for rapid learning and continuous improvement. **Missing Required:** dbt, Snowflake, Airflow, Atlan

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4] Strong project management foundation with proven ability to deliver complex systems end-to-end, excellent stakeholder communication skills, and advanced Excel proficiency. However, lacks direct telecom domain experience and specific PMO tools knowledge, which are important for this specialized role. **Critical Gaps:** - No direct telecom industry experience **Strengths:** - Executive communication and stakeholder management - Advanced Excel and reporting capabilities - End-to-end project execution experience **Missing Required:** Microsoft Project, Power BI

[ANALYSIS_REPORT] **LOW** [2.5-Flash] Candidate is automatically disqualified as their location (Brazil) is not among the explicitly listed eligible countries for independent contractors (United States, United Kingdom, Canada, Europe, Singapore, Dubai, or Australia). **Strengths:** - Native Brazilian Portuguese proficiency - Professional English proficiency - Proven ability to work independently and remotely

[ANALYSIS_REPORT] **TOP** [2.5-Flash] The candidate demonstrates strong analytical and problem-solving skills, with extensive experience in ERP-like systems (TOTVS), data management, and process automation, aligning well with the role's core responsibilities. While specific Power BI/DAX experience is missing, their background in data analysis and reporting suggests a high aptitude for quickly acquiring these tools, bolstered by a proven fast-learner track record. **Strengths:** - Exceptional ability to transform unstructured processes into measurable, automated systems. - Deep experience in data integrity, ERP systems (TOTVS equivalent to SAP conceptually), and operational data management. - Strong communication skills, effectively bridging technical and C-level business stakeholders. **Missing Required:** Power BI, DAX

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Strong business automation and systems thinking with proven fast learning ability, but zero direct experience with required Power Platform/Microsoft 365 stack. Would require significant ramp-up time despite transferable skills. **Critical Gaps:** - Power Platform ecosystem - BLOCKING - SharePoint development - BLOCKING - Microsoft 365 environment - BLOCKING **Strengths:** - Automation-first mindset matches job philosophy - Proven systems builder with fast learning - Business-technical interface experience **Missing Required:** Power Apps development, Power Automate workflows, SharePoint Online administration, Copilot Studio, SPFx development, Power Platform governance

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate demonstrates strong technical, operational, and financial sector experience, coupled with a fast-learner profile and excellent communication skills. While lacking specific PM certifications and direct 'digital treasury solutions' experience, his proven ability to lead complex system deliveries and manage stakeholders is highly relevant. **Strengths:** - Strong financial sector background and business-technical translation capabilities - Proven ability to deliver complex systems and automation, demonstrating strong inferred project management skills - Excellent communication, stakeholder management, and analytical reporting abilities **Missing Required:** PM Certifications, 5+ years explicit Project/Program Management role experience, Digital Treasury Solutions experience

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] Strong match on backend systems, infrastructure, automation, Go/JS experience, and communication, with clear progression toward technical and AI-adjacent roles. However, the resume does not explicitly show shipped production LLM/agent/RAG systems or systematic LLM evaluation pipelines with tools like LangSmith/Braintrust, which are core requirements for this role. Overall this is a solid but not perfect fit for an applied AI DevOps/agents role. **Critical Gaps:** - No explicit evidence of having shipped production systems where LLMs, tool calling, or RAG workflows are core to the product - No explicit experience building systematic LLM evaluation pipelines with observability tools like LangSmith or Braintrust **Strengths:** - Proven track record of designing and operating automation-first backend systems with real business impact (e-commerce ops, job scraping + ATS platform). - Hands-on infrastructure skills across Linux, cloud (AWS/Linode), on-prem, Docker, CI/CD, and self-hosted AI clusters, which map well to an AI-native DevOps environment. - Strong communication and business–technical bridge capability, with experience translating messy operational problems into structured systems, KPIs, and governance. **Missing Required:** Shipped production systems with LLMs or agent/tool-calling workflows as core functionality, Developed systematic LLM evaluation pipelines using observability tools (e.g., LangSmith, Braintrust) to track performance and regressions, Explicit TypeScript experience (only JavaScript is mentioned)

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates strong capabilities in general system automation, data management, and process improvement, but critically lacks direct experience and specific technical skills required for ServiceNow Change Velocity, making this a significant mismatch. **Critical Gaps:** - ServiceNow Change Velocity - ServiceNow Platform Features (Flow Designer, Integration Hub, Business Rules, UI Pages, MID Server) **Strengths:** - Strong general system automation and design capabilities. - Proven fast learner with ability to build complex systems from scratch. - Expertise in data management and process optimization. **Missing Required:** ServiceNow Integrations (Jenkins, Git, Azure DevOps, Jira), JavaScript (ServiceNow scripting), AngularJS (ServiceNow UI), GlideScript, ITSM Processes (Incident, Problem, Change), ITIL Practices, OAuth (ServiceNow context), SSO (ServiceNow context), Automation Pipelines (ServiceNow context), APIs REST/SOAP (ServiceNow context), Data Sources (ServiceNow context)

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate exhibits strong foundational technical and operational skills applicable to complex system support and stakeholder management. While direct iGaming industry experience is absent, their rapid learning capability and transferable expertise in system building and troubleshooting are notable. **Critical Gaps:** - Experience in B2B Technical Support within the Casino or iGaming sector - Strong understanding of iGaming systems **Strengths:** - Exceptional technical breadth and rapid learning ability - Strong system-building, operational, and troubleshooting expertise - Proven ability to manage stakeholders and drive process improvements

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate demonstrates exceptional prowess in AI, process automation, and system architecture, aligning well with the job's core innovation aspects. However, significant gaps exist in critical required operational tools like ServiceNow, Salesforce, SOQL, JavaScript, and Swagger, which are central to the support responsibilities. **Strengths:** - Deep expertise in process automation and management, backed by building production-grade systems. - Strong inferred and demonstrated capabilities in AI/ML, including self-hosted infrastructure and algorithmic trading. - Proven fast learner with a clear career progression in technical roles, indicative of high adaptability. **Missing Required:** ServiceNow, SOQL, Salesforce, JavaScript, Swagger

[ANALYSIS_REPORT] **LOW** [2.5-Flash] The candidate possesses strong engineering, operations, and leadership skills with a proven track record of building complex systems and coordinating stakeholders. However, they lack direct B2B sales or project sales experience, which is a critical requirement for this sales management role. **Critical Gaps:** - B2B Sales Experience (5+ years) - Project Sales Experience (5+ years) **Strengths:** - Strong systems architecture and automation background - Demonstrated autonomy and stakeholder coordination - Results-oriented with strong negotiation capabilities **Missing Required:** Business Development (Sales context), Client Relationship Management (Sales context)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] The candidate has strong technical and systems experience, operates in Brazil, and has excellent communication skills, but lacks explicit BESS/energy storage domain experience and an explicitly electrical-focused major. The role appears to require at least 2+ years directly in BESS and an electrical major, which are not clearly met, so this is a low match despite strong general technical aptitude. **Critical Gaps:** - No explicit hands-on experience with BESS or energy storage projects - No clearly stated electrical engineering major (degree is in Mechatronics/Robotics, which may be considered adjacent but not explicitly 'electrical' as required) - No demonstrated history of application support or technical training for hardware/energy products **Strengths:** - Strong systems architecture and automation background with hands-on infrastructure experience - Based in Brazil with native Portuguese and fluent English, well-suited for customer and internal communication - Proven fast learner who can self-teach complex technical domains and deliver production-ready systems quickly **Missing Required:** 2+ years of experience in a related BESS function or specialization, Direct experience with energy storage projects and customers, Explicit electrical engineering major as stated in the requirement

[ANALYSIS_REPORT] **HIGH** [2.5-Flash] The candidate is a very strong match due to extensive experience in operations, data quality, automation, and building complex systems (like a custom ATS and inventory automation), which directly align with RevOps functions. They demonstrate exceptional analytical, communication, and business acumen, though they lack explicit experience with specific CRM platforms like HubSpot or certain reporting tools. **Strengths:** - Extensive experience in data-driven operations and automation. - Proven ability to build and optimize complex systems (ATS-style, inventory). - Strong analytical, cross-functional communication, and business vision.

[ANALYSIS_REPORT] **MEDIUM** [2.5-Flash] The candidate demonstrates strong problem-solving, automation, and system design skills with a fast-learner profile, but lacks direct hands-on experience in IT/AV equipment installation, configuration, and event support, which are core requirements for this technician role. While highly capable, the candidate's expertise is at a higher functional abstraction than the job's daily duties. **Critical Gaps:** - Hands-on IT/AV equipment installation and configuration - Assisting with assembly and disassembly of equipment for events **Strengths:** - Advanced problem-solving for complex systems and data - Strong communication with leadership and cross-functional teams - Proven ability to build and automate solutions from scratch **Missing Required:** Instalação e configuração de equipamentos de informática e audiovisual, Auxiliar na montagem e desmontagem de equipamentos para eventos

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] While the candidate demonstrates strong systems thinking and automation skills, there's a fundamental domain mismatch. The role requires hands-on IT support, hardware troubleshooting, and client-facing technical assistance, whereas the candidate's expertise is in high-level systems architecture, automation, and strategic operations. The candidate lacks direct experience in IT equipment installation, hardware troubleshooting, or MSP/MDM environments. **Critical Gaps:** - No hands-on IT support experience - No hardware/equipment installation background - No MSP/client-site technical support experience **Strengths:** - Strong analytical and problem-solving abilities - Excellent client communication skills - Systems thinking and process improvement **Missing Required:** Suporte técnico hands-on, Instalação de equipamentos, Troubleshooting de hardware, MSP/MDM experience

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5] Strong operations/analytics, governance, and communication align with result tracking and teamwork, but lacks hands-on marketing execution. Missing core skills in content production, social media, and digital marketing tools. Career trajectory is technical/ops-focused rather than marketing. **Critical Gaps:** - Hands-on content production (photos/videos) for marketing - Social media and digital marketing execution experience **Strengths:** - Acompanhamento de resultados e indicadores - Comunicação clara com stakeholders e organização de processos - Proatividade e iniciativa em ambientes dinâmicos **Missing Required:** Captação de fotos e vídeos, Produção de conteúdos institucionais e de produtos, Apoio direto na execução de estratégias de marketing

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT4.1] The candidate demonstrates strong communication, stakeholder management, and organizational skills, with experience presenting technical solutions to executives and leading operational improvements. However, there is no direct experience in sales, negotiation, or lead management, though the candidate's technical-commercial interface and rapid learning suggest potential to adapt. The profile is a strong fit for process-driven, consultative sales but lacks proven sales track record. **Strengths:** - Excellent communication with executives - Process organization and automation - Proactive problem solving

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Haiku] Hugo demonstrates strong foundational systems thinking, data quality expertise, and proven ability to learn complex new domains (self-taught trading algorithms, rapid ATS system development). However, he lacks explicit evidence of Python programming, LLM/RAG experience, and modern AI frameworks. His background is operations/architecture-focused rather than ML engineering, requiring significant skill gaps to close. **Critical Gaps:** - No demonstrated Python/Java/Scala programming experience (HARD REQUIREMENT) - No AI/ML project portfolio or hands-on model work - No formal CS/Software Engineering/Systems background (has Mechatronics/Robotics degree - adjacent but not aligned) **Strengths:** - Exceptional learning velocity and domain penetration speed - built production ATS system in weeks without coding background, self-taught trading algorithms - Deep data systems thinking - demonstrated mastery of data integrity, validation rules, and ERP data architecture at scale (4,000+ records) - Proven ability to move into adjacent technical domains - career trajectory from finance → supply chain → systems architecture shows intentional technical progression **Missing Required:** Python or alternative programming language (required), LLM/RAG conceptual and hands-on knowledge, AI framework experience (LangChain, etc.), AWS Bedrock or Azure OpenAI API experience

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT4.1] The candidate demonstrates 10+ years of engineering experience, advanced English, and strong SQL/data modeling skills. While they have deep experience in automation, infrastructure, and team leadership, direct Ruby on Rails experience is not explicitly stated, but rapid self-learning and full-stack delivery (including Go, Python, JavaScript, Docker, CI/CD, SQL) suggest high adaptability. The candidate matches most requirements, but lacks explicit evidence of 7+ years with Ruby on Rails and recent hands-on HTML/CSS work. **Strengths:** - Team leadership and mentorship - SQL/data modeling and automation - Rapid self-learning and technical adaptability **Missing Required:** Ruby on Rails (explicit, 7+ years)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT4.1] The candidate demonstrates strong skills in automation, systems architecture, and operations, but lacks direct experience with video production, editing software, and social media content creation. While organizational and process skills are present, there is no evidence of hands-on work with cameras, editing tools, or motion graphics. The candidate is also not located in the required geographic area (SC), which is a hard filter. **Critical Gaps:** - No direct experience in video production or editing - BLOCKING - Not located in Chapecó or Florianópolis - BLOCKING **Strengths:** - Organizational skills - Attention to detail - Responsibility **Missing Required:** Operation of video editing software, Hands-on experience with cameras, lighting, and audio equipment, Use of TikTok/Instagram native recording tools

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5-mini] Strong match on systems automation, data integrity and end-to-end delivery with recent hands-on experience designing automation-first workflows and stakeholder-facing specifications. Gaps are practical, hands-on QA automation and API-testing tool experience plus formal ISTQB certification for a mid/senior hiring bar, lowering suitability for a senior QA automation role without upskilling. **Critical Gaps:** - ISTQB (CTFL/CTAL) — mandatory for Pleno/Sênior roles per job posting - Hands-on experience with mainstream test automation frameworks (Selenium/Cypress/Playwright/Appium) - Practical API testing tool experience (Postman/RestAssured/SoapUI) **Strengths:** - Proven delivery of automation-first, end-to-end production systems under time pressure - Deep experience in data integrity, ERP cleansing and reliable reporting - Leadership and ability to translate C-level strategy into technical scope and execution **Missing Required:** Hands-on automation frameworks (Selenium/Cypress/Playwright/Appium), API testing tools (Postman/RestAssured/SoapUI), CI/CD pipeline experience (explicit tooling like Jenkins/GitLab CI/Azure DevOps), Cloud computing experience (AWS/Azure/GCP) — for testing/deployment, Test management tool experience (Jira/Zephyr/TestRail)