Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate, while a highly skilled systems architect and fast learner with relevant financial domain experience, presents critical gaps in the specific Microsoft Dynamics 365 ERP ecosystem. The role requires deep expertise in D365 F&O, X++, C#, .Net, Power Platform, and specific JavaScript application, none of which are demonstrated in the candidate's resume. **Critical Gaps:** - Dynamics 365 ERP (F&O modules – GL, Billing) development experience and 5+ years - Proficiency in X++, C#, .Net **Strengths:** - Strong background in Finance and Procurement provides relevant domain knowledge for GL/Billing concepts - Extensive experience in general systems architecture, automation, and integrations - Demonstrated 'fast learner' with a clear career trajectory towards technical and architectural roles **Missing Required:** Experience with Power Platform (Power Apps, Power Automate), Proficiency in JavaScript for customizations and integrations (specific to D365), Proficiency in C++ (for D365 development)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong profile with extensive experience in systems architecture, automation, CI/CD, and a highly relevant financial background, complemented by a demonstrated ability to rapidly acquire new technical skills. While possessing advanced programming knowledge and cloud basics, the candidate lacks explicit experience with specific static code analysis tools (Sonar/Eccox) and Swagger/YAML integration automation, which are key requirements for this Code Quality Specialist role. **Strengths:** - Strong technical architecture, automation, and CI/CD experience. - Relevant career trajectory from finance to advanced technical roles, including AI infrastructure. - Proven "Fast Learner" with self-taught expertise in complex domains. **Missing Required:** Experiencia no uso de ferramentas de análise estática de código (Ex. Sonar/Eccox), Experiência na automação de integrações nos formatos de Swagger / Yaml

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-5-mini] Excellent match: candidate demonstrates strong Python + statistical modeling, proven leadership delivering production-grade simulation/optimization-adjacent systems (JIT inventory, supply-chain modeling) and recent hands-on AI infrastructure (self-hosted LLM clusters) which map well to building and scaling simulators and architectures. Missing Spanish and AnyLogic are desirable but not blocking given the candidate's demonstrated transferable modeling, architecture and delivery experience. **Strengths:** - Strong Python + statistical/quantitative modeling experience - Hands-on AI infrastructure (self-hosted LLM clusters) and production deployment experience - Supply-chain domain expertise (JIT systems) combined with systems architecture and leadership

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong transferable skills in project coordination, financial analysis, and strategic thinking, backed by a proven fast-learner track record. However, there's a critical domain mismatch; the candidate's extensive experience is in technical systems and AI infrastructure, not in managing brand experience events. Additionally, the explicit geographic requirement for hybrid work in Moema - SP is not met by the candidate's general location in Brazil. **Critical Gaps:** - Experience in managing in-person and hybrid events - Managing internal and external execution of events (domain specific) - Specific event logistics and operational knowledge **Strengths:** - Strong project coordination and implementation skills (transferable) - Excellent financial analysis and cost management capabilities - Proven strategic thinking and fast-learning aptitude **Missing Required:** Direct experience in event management, planning, and execution, Domain-specific understanding of brand experience projects

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong architectural and infrastructure background with extensive experience in logistics and supply chain systems, and excellent soft skills like fast learning and career progression. However, the critical absence of experience in PHP, Go (Golang), and Kafka — which are explicitly required hard skills for this hands-on coding and systems role — significantly impacts the overall match. **Strengths:** - Extensive Logistics and Supply Chain experience (JIT inventory, automated e-commerce, ERP improvements) - Strong Architectural & Infrastructure Acumen (Docker, Terraform, AI clusters, Clean Architecture, CI/CD) - Proven Fast Learner and Intentional Career Progression into Technical/AI Roles **Missing Required:** PHP, Go (Golang), Kafka (in high-scale environments)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating extensive and recent experience in project and team management across complex technical and operational domains. Their robust background in system architecture, automation, and financial analysis, combined with a proven 'fast learner' profile and highly relevant academic qualifications in Supply Chain, positions them as a strategic asset for the role, significantly exceeding most requirements. **Strengths:** - Comprehensive Project & Team Management - Exceptional Technical Acumen & System Architecture - Strategic & Financial Understanding with Fast Learning Capability

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in Python, SQL, data pipelines, cloud basics (AWS), Docker, and RBAC, with clear evidence of self-learning and system architecture at scale. However, there is no direct experience with Azure Data Factory, Databricks, Medallion Architecture, SSIS/SSAS, or explicit SAP/Salesforce integration, though adjacent skills and fast learning are evident. The candidate's trajectory toward data/AI infrastructure and strong project context are strengths, but several required technologies are missing or only adjacent. **Strengths:** - Python and SQL pipeline development - Cloud and containerization fundamentals - Proven fast learner with self-taught AI/data infrastructure **Missing Required:** Direct experience with Azure Data Factory, Direct experience with Databricks, Direct experience with Medallion Architecture, Direct experience with SSIS/SSAS, Direct SAP/Salesforce integration

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong technical and architectural background with significant hands-on experience in AI infrastructure, system design, and automation, directly aligning with Docplanner's strategic use of AI/LLMs. Their founder experience demonstrates strong leadership and business acumen. The primary area for further clarification is the explicit duration and scale of leading large technical teams (20+ engineers) for 7+ years, which is not fully evidenced in the resume. **Strengths:** - Exceptional AI infrastructure and system architecture expertise directly relevant to LLM strategy - Strong hands-on software development background with a focus on business outcomes and automation - Proven 'Fast Learner' with a clear career trajectory towards advanced technical roles, indicating high adaptability and growth mindset **Missing Required:** Explicit demonstration of 7+ years managing large technical teams (20+)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong background in financial analysis, IT acquisitions, and general technical leadership with a proven fast-learner profile. However, there are notable gaps in direct experience with specific IT governance frameworks (COBIT, ITIL, ISO), ITSM tools, and detailed IT security audit and compliance practices, which are critical for an IT Governance Coordinator role. **Strengths:** - Strong background in financial analysis and reporting. - Proven experience with IT acquisitions and ERP systems. - Highly analytical, strategic thinker with a fast-learner profile. **Missing Required:** IT Governance Policies & Processes, IT Risk Management (governance context), ITSM Tools, Governance frameworks (COBIT, ITIL, ISO), Information Security Audit & Compliance, Broader IT Financial Management (budgeting & cost control), Power BI

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in systems architecture, data pipelines, and leadership, with clear evidence of end-to-end automation, data integration, and project management. However, there is no direct experience with SAP data migration tools (SAP Data Services, S/4HANA Migration Cockpit, LSMW) or explicit large-scale ETL/ELT in SAP environments, which are critical requirements. The candidate's fast-learner profile, Python/SQL/Cloud/CI-CD skills, and leadership in technical projects are strong matches, but the lack of SAP-specific migration experience and tools is a significant gap. **Critical Gaps:** - No direct SAP data migration or cutover experience **Strengths:** - Proven fast learner with self-taught advanced technical skills - Strong leadership and end-to-end project delivery in technical domains - Deep experience in data pipelines, automation, and system integration **Missing Required:** Direct experience with SAP migration tools and cutover processes

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong infrastructure and operations background (self-hosted LLMs, Linux, on‑prem servers, JIT automation and procurement/asset management) with clear troubleshooting and production deployments; these map well to the job's server/network, stock management, and connectivity troubleshooting requirements. However, the resume lacks explicit hands-on end-user support experience (device imaging, cabling, desktop/peripheral setup) and a few listed nice-to-haves (SD‑WAN, BitLocker, software packaging), which reduces fit for a strictly onsite technician role. **Strengths:** - Proven experience deploying and operating on-prem/edge AI clusters and servers - Designed end-to-end production systems (JIT inventory) with automation and asset integration - Strong troubleshooting mindset and track record bridging business needs to technical architecture **Missing Required:** Direct, documented experience providing end-user support for hardware and software technologies (helpdesk-style imaging and device resets)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong technical, project, and integration experience, with clear evidence of English fluency and large-scale system delivery. However, there is no PMP certification or explicit experience managing global-scale projects in the financial industry, which are critical requirements. The candidate's fast-learner profile, technical breadth, and leadership in automation and integration are strong positives, but the lack of formal project management credentials and direct financial industry project management experience are significant gaps. **Strengths:** - Technical integration and automation - English fluency (C2 certified) - Proven fast-learner and self-starter **Missing Required:** PMP certification, Experience managing global-scale projects in the financial industry

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates advanced technical and leadership capabilities in AI infrastructure and automated systems. However, they lack direct professional experience as a dedicated Project Manager, especially concerning the 'Sinistros' (insurance claims) domain, which is a critical requirement for this role. **Critical Gaps:** - Sinistros Domain Experience **Strengths:** - Strong Technical Architecture & AI Expertise - Proven Fast Learner and Self-Starter - Experience with System Integration & External APIs **Missing Required:** Project Manager (PM) experience, Vivência em projetos na área de Sinistros

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Good match with strong transferable skills. Candidate demonstrates proven project management capabilities through self-directed ventures (automated JIT e-commerce system), supply chain expertise directly relevant to VIVEO's healthcare logistics domain, and technical proficiency in process optimization. The 10+ years of cross-functional experience bridges business and technical domains well. However, lacks specific experience with required tools (Azure Boards, Notion, Qlik Sense) and formal project governance in corporate/enterprise environments. **Strengths:** - Direct supply chain management experience (Pronutri, Electrolux) highly relevant to VIVEO's healthcare logistics operations - Proven track record of building and optimizing complex operational systems from scratch (JIT inventory system with >95% efficiency) - Strong cross-functional communication demonstrated across Finance, Supply Chain, and Engineering roles with stakeholders at all levels **Missing Required:** Formal degree in Administration/Commercial Management (has Mechatronics Engineering), Direct corporate project portfolio management experience, Specific tool certifications (Azure Boards, Qlik Sense)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong architecture, backend, and authentication experience, with direct expertise in SSO, RBAC, and local AI privacy. However, there is no evidence of Java backend or frontend (Angular/React) development, and no explicit biometrics experience. The candidate's fast-learner profile, deep infrastructure skills, and career trajectory toward technical architecture are strong positives, but the lack of Java and frontend is a significant gap. **Strengths:** - Solution architecture and infrastructure design - Authentication and security (SSO, RBAC, privacy) - Proven fast-learner and self-starter in technical domains **Missing Required:** Java backend development, Frontend development (Angular/React), Biometrics

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong match on data engineering fundamentals, production pipelines and infra (Python, Shell, Postgres/MySQL, Docker, Terraform, Linux) with demonstrated end-to-end systems and ETL experience; however the role requires deep multi-cloud (GCP) and specific data-orchestration/format tooling (Airflow/Pentaho/DBT, Parquet/Delta) that are not shown on the resume. Overall good fit for engineering-led data platform work but needs upskilling/experience in the listed cloud and orchestration stack. **Strengths:** - Proven production-grade pipeline and automation delivery (JIT inventory system) - Strong engineering/infra background: Docker, Terraform, Linux and self-hosted LLM clusters - Solid development skills in Python, Shell scripting and SQL with end-to-end system design **Missing Required:** Google Cloud Platform (GCP), Apache Airflow / Pentaho / AWS Glue (data orchestration tools), DBT (transformation modeling), Parquet / Delta Lake (data lake/file formats)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong experience in general systems architecture, automation, and Python development, with clear leadership and problem-solving abilities. However, there are significant critical gaps in specific data engineering platforms and tools (e.g., Spark/PySpark, Airflow, Airbyte, Redshift, BigQuery, and general GCP expertise) which are central to this role's requirements. The candidate's background is more aligned with general IT/AI infrastructure than specialized data engineering. **Critical Gaps:** - Core Distributed Data Processing expertise (Spark/PySpark, EMR, Dataproc, DataFlow) - Core Data Warehousing/Lakehouse expertise (Redshift, BigQuery) - Data Orchestration/Ingestion tools (Airflow, Airbyte, Composer) - GCP Platform Expertise **Strengths:** - Strong experience in systems architecture, automation, and CI/CD. - Demonstrated leadership and ability to translate business needs into technical solutions. - Proven fast learner with experience in building production-level systems. **Missing Required:** Data Quality (Great Expectations, DataHub or similares), VPN

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] This is a junior DevOps support role requiring basic Linux, bash scripting, and cloud fundamentals. The candidate is significantly overqualified (33yo, 10+ years experience as Solutions Architect/Systems Engineer) and their career trajectory is moving toward AI infrastructure and systems architecture, not junior operational support. While they possess the technical skills required, this represents a severe downward step in career progression. **Critical Gaps:** - SENIORITY MISMATCH - Role requires junior/entry-level with supervision; candidate is senior architect/founder - CAREER TRAJECTORY CONFLICT - Candidate moving toward AI/architecture; role is operational support **Strengths:** - Strong Linux and automation background (Docker, shell scripting, CI/CD pipelines) - Cloud fundamentals with AWS in progress and infrastructure-as-code experience - Production operations experience managing self-sustaining automated systems

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses a strong technical and systems architecture background with a proven track record as a fast learner, evidenced by building complex systems from scratch. However, the core requirements of the 'Trade Compliance PM' role, which demand specialized expertise in customs, international trade regulations (especially for APAC/AU/NZ), HTS classification, and customs broker engagement, are largely absent from the resume. The candidate's career trajectory is also moving away from this specialized regulatory domain. The job description contained conflicting content, appearing to describe an 'Intern' role in Portuguese after the primary English description, which was treated as untrusted and ignored for evaluation. **Critical Gaps:** - Specialized domain expertise in Customs and International Trade Compliance for the APAC/Australia/New Zealand region. **Strengths:** - Strong technical foundation in systems architecture, AI infrastructure, and automation. - Proven 'Fast Learner' with a demonstrated ability to self-teach and implement complex solutions. - Transferable domain experience in Supply Chain and Procurement, beneficial for cross-functional collaboration. **Missing Required:** 3+ years of relevant experience with engaging customs brokers and handling import transactions end to end., 3+ years of relevant experience in auditing customs transactions., 3+ years of relevant experience with advanced Excel and ERP systems for customs compliance and HTS item database maintenance.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] The candidate demonstrates clear project management experience (planning, delivery, stakeholder communication) and recent, hands-on ownership of complex production systems (JIT inventory, self-hosted AI clusters) which infer strong planning, risk management and cross-team coordination skills. The main gaps are domain-specific marketing/campaign experience and explicit use of popular PM tools (Trello/Asana/Monday), but these are learnable given the candidate's proven fast-learning trajectory. **Strengths:** - Proven end-to-end delivery of production systems (JIT inventory automation) - Deep technical architecture and infrastructure capability (self-hosted LLMs, Docker, Linux) - Demonstrated leadership in operations and cross-functional project delivery

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional project leadership, strategic execution, and system architecture expertise, with a proven track record of delivering complex, automated solutions and a strong entrepreneurial drive. While there are specific gaps in Java/Kotlin backend development and experience with certain metrics tools (Datadog, Bigquery, DataStudio), their rapid learning ability, deep domain knowledge in Supply Chain and Finance, and a clear career progression towards technical leadership make them a very strong match for this role. **Strengths:** - Exceptional leadership in complex project initiatives, demonstrated by founder role and experience in decomposing processes and defining strategic roadmaps. - Strong system architecture, automation, and CI/CD pipeline expertise, with a focus on designing and delivering ROI-driven, resilient solutions. - Highly relevant domain expertise in Supply Chain and Finance, directly applicable to Mercado Livre's business, complemented by a proven fast-learner ability and entrepreneurial mindset. **Missing Required:** Java/KOTLIN backend development, Experience with Datadog, Experience with DataStudio, Experience with Bigquery, Knowledge of services available in Fury

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in Python, SQL, data pipelines, and AWS fundamentals, with direct application in production systems and AI infrastructure. While AWS is present, specific services like Glue, Redshift, and Lambda are not explicitly mentioned, and there is no direct SAP integration experience, though strong ETL and data integration skills are evident. The candidate's fast learner profile, English fluency, and career trajectory toward data/AI roles further strengthen the match. **Strengths:** - Python and SQL expertise with real-world application - Proven fast learner and self-starter in new technical domains - Strong experience in data pipelines and infrastructure **Missing Required:** Direct SAP data integration experience, Direct Spark experience

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong foundational skills in Python, CI/CD, and system automation, along with a 'fast learner' aptitude. However, they lack direct experience with several explicitly required test automation frameworks and tools such as Pytest, Robot Framework, Jinja2, and YANG, which are central to this specific Test Automation Engineer role. **Strengths:** - Strong Python, Git, and CI/CD expertise demonstrated across various projects. - Proven ability to architect and build complex, production-grade automated systems. - Clear 'Fast Learner' trajectory with experience in AI infrastructure and rapid skill acquisition. **Missing Required:** Pytest, Robot Framework, Jinja2, YANG, Web testing

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Good technical match with strong infrastructure foundation and proven self-learning capability. Candidate demonstrates Docker/Linux/CI-CD experience and database knowledge, though Azure-specific experience is minimal. The 'Fast Learner' profile (33yo, self-taught AI clusters, algorithmic trading, production systems) significantly mitigates the Azure gap. Career trajectory shows intentional progression toward infrastructure/systems roles. **Strengths:** - Strong infrastructure and automation foundation with Docker/Terraform/Linux - Proven track record building production-grade systems from scratch (JIT inventory, self-hosted AI clusters) - Fast learner with demonstrated ability to master complex technologies independently (AI infrastructure, algorithmic trading, cloud basics) **Missing Required:** Microsoft Azure hands-on experience, App Services administration, Azure-managed databases, Windows Server administration, PowerShell scripting

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong experience in automation, CI/CD, Terraform, and general system architecture with a proven fast-learner track record. However, there is a significant gap in direct experience with the Azure Cloud ecosystem, which is central to the SRE role described, and specific Kubernetes and Elastic Stack tooling. **Strengths:** - Terraform and IaC proficiency - Strong CI/CD and automation experience - Fast learner with broad technical and architectural background **Missing Required:** Azure Cloud Platform, Azure Kubernetes Service (AKS), Azure API Management (APIM), Azure Firewall, Azure Key Vault, Azure Blob Storage, Azure SQL, Elastic Stack (Elasticsearch, Kibana, Beats, Logstash)