Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, possessing over 10 years of experience in systems architecture, operations, and technical leadership that directly aligns with the Staffing Solution Architect role. They demonstrate robust technical communication skills, a proven ability to build complex automation and data systems, and a remarkable aptitude for rapid self-learning across diverse technical domains. All explicit job requirements are met or strongly inferred, and their career trajectory shows intentional progression towards technical and AI infrastructure roles. **Strengths:** - Systems Architecture & Business-Technical Bridge capabilities - Exceptional communication and stakeholder management across technical and executive levels - Proven track record in building and operating complex, automation-first technical solutions - Remarkable 'fast learner' aptitude and clear career progression towards technical leadership

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents a strong profile in systems architecture, automation, and data quality with a notable 'fast learner' bonus and a clear career trajectory into technical roles. However, the position has a critical requirement for expertise in specific Azure big data and analytics services (Azure Databricks, Azure Fabric, Azure Data Lake, Azure Synapse, Azure Data Factory), which are entirely missing from the candidate's experience, leading to a fundamental mismatch for this specialized role. **Critical Gaps:** - Deep, hands-on expertise with the required Azure big data and analytics ecosystem (Databricks, Fabric, Data Lake, Synapse, Data Factory). **Strengths:** - Strong experience in data quality, operational logic, and data governance. - Proven ability as a fast learner and builder, with a clear career progression towards technical and systems architecture roles. - Leadership and systems-level thinking demonstrated through building and operating automated systems. **Missing Required:** 12+ years in data engineering and analytics solutions (candidate has 10+ years general, less directly in DE/Analytics), Azure Databricks (hands-on, cluster management, notebook development, Delta Lake), Big data technologies (Hadoop, Spark), Frameworks such as PySpark, Deep understanding of Azure services including Azure Data Lake, Azure Synapse, and Azure Data Factory, Familiarity with NoSQL databases, Knowledge of cloud security best practices

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong profile in end-to-end solution architecture, data integration, process automation, and business-oriented system design, aligning well with most core technical and governance requirements. While specific certifications (ITIL, COBIT) and explicit multi-cloud architecture experience are not detailed, the candidate's proven 'fast learner' ability and extensive practical application of architectural principles significantly mitigate these gaps, indicating a highly adaptable and capable professional. **Strengths:** - End-to-End Solution Architecture & Business Acumen - Automation & System Integration Expertise - Continuous Learning & Systems Thinking **Missing Required:** Arquitetura Cloud / Cloud Computing (specifically for multi-cloud/hybrid environments, though general infrastructure and AWS learning are present), Conhecimento em ITIL, Conhecimento em COBIT

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong systems-architecture and operations background with demonstrable ERP, automation, procurement and data pipeline delivery maps well to Solution Architect responsibilities; language, stakeholder-facing experience, and inferred infra skills reduce ramp risk. Missing explicit OutSystems/low-code and enterprise pre-sales PoC platform experience are the main gaps but are learnable given clear fast-learner evidence. **Strengths:** - Proven systems architecture & automation (procurement/ERP → reliable ops) - Data and reporting reliability at scale (4,000+ item cleanup, validation rules) - Fast learner with demonstrated self-taught AI infra and algorithmic trading experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong match with excellent foundation in systems architecture, cloud infrastructure, and automation. Candidate demonstrates DevOps competencies through self-hosted infrastructure, production system design, and automation expertise. Missing some specific enterprise tools but shows proven ability to learn and implement complex technologies. **Strengths:** - Strong Python automation and scripting - Self-hosted AI infrastructure demonstrating advanced systems knowledge - Proven track record of building production-level automated systems **Missing Required:** 7+ years Linux System Administration, 5+ years Windows Administration, 4+ years AWS experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong match on project ownership, structuring complex information, and bridging AI/Data/IT topics to business stakeholders, plus fluent English and Emerging Markets experience. The main gaps are lack of explicit PMO/portfolio-governance titles and limited evidence of formal portfolio reporting/dashboards, though similar responsibilities are implied by prior roles. Overall, this is a technically strong candidate who slightly over-indexes on architecture/engineering versus classic PMO, but aligns well with the role’s stakeholder and program-translation focus. **Strengths:** - Proven ability to translate complex Data/AI and IT initiatives into practical business impact, aligning well with the “what this means for each market” requirement. - Strong ownership, autonomy and proactive profile demonstrated by founding and running automated e-commerce and self-teaching advanced AI infrastructure. - Solid foundation in analytics, KPIs and supply chain/operations in Emerging Markets, plus fluent C2 English and experience working across business and technical stakeholders. **Missing Required:** explicit prior role titled Project / Portfolio / PMO Analyst or Business Analyst in a multinational environment (responsibilities are present but titles are different)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is highly skilled in AI infrastructure, systems integration, and project management within the IT and software development domains. However, this role explicitly requires a degree in Architecture and Urbanism, extensive professional experience in corporate architectural projects and construction, and proficiency in specialized architectural software. The candidate's background presents critical, non-negotiable gaps in the fundamental domain knowledge, education, and tools required for this specific Architect position, resulting in an automatic disqualification. **Critical Gaps:** - Formação superior em Arquitetura e Urbanismo - Mínimo de 10 anos de experiência profissional em projetos e obras corporativas - Sólido conhecimento em legislação urbanística, normas técnicas e regulamentações aplicáveis - Domínio de Autocad, Revit (BIM), Lumion (as these indicate a different domain of expertise) **Strengths:** - High proficiency in English (C2 Certified/Fluent) - Proven track record as a Fast Learner and self-taught expert in complex technical domains - Strong experience in project management and team coordination - Proficiency in general office tools (Excel, PowerPoint) and project planning concepts **Missing Required:** Espanhol intermediário

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong technical expertise in software engineering, AI infrastructure, and supply chain systems. However, the job requirements are fundamentally rooted in civil architecture, decoration, and landscaping design, which represents an entirely different domain. The core responsibilities and essential software skills (AutoCAD, Sketchup) are critically absent or in a non-transferable context, leading to a significant domain mismatch. **Critical Gaps:** - AutoCAD - Sketchup - Decoration and landscaping project development - Preliminary architectural study and design phases - Critical analysis of 3D architectural images - On-site assembly and model validation for common areas in construction - Experience in architectural drawings and projects **Strengths:** - Proficiency in Microsoft Office Suite - Strong background in purchasing and supply chain management processes - Demonstrated fast learning ability and adaptability across complex technical domains

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents strong systems architecture, leadership, and Python expertise with a proven fast-learner track record. However, there is a critical gap in direct, recent embedded systems development experience, and key embedded technologies like RTOS, specific IoT protocols, and formal modeling methodologies are largely absent, which are fundamental to the 'IoT-enabled digital elevator solutions' domain. **Critical Gaps:** - Embedded systems expertise **Strengths:** - Robust Systems Architecture & Leadership Experience - Strong Python Development and Automation Expertise - Proven Fast Learner with a trajectory towards complex technical roles **Missing Required:** 5-7 years experience with computer science or software engineering related project work in embedded development, Deep knowledge of UML and system modeling methodologies, Strong background in embedded systems, IoT protocols, Knowledge of real-time operating systems (RTOS), Linux embedded, Microcontroller architectures

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong profile for a System Architect, showcasing extensive experience in system design, API integration, and infrastructure (Docker, AWS basics). Their demonstrated leadership in building complex, automated systems, coupled with a proven fast-learner ability and career trajectory towards technical/AI roles, aligns very well with the job's demands. While there are specific technical gaps in Java/Springboot and Kafka, their foundational skills and architectural mindset make them a highly adaptable and valuable candidate. **Strengths:** - Strong system architecture, API development, and infrastructure expertise (Docker, Linux). - Proven leadership, proactivity, and ability to build complex systems from scratch. - Fast-learner with a clear career progression towards technical/AI roles, complemented by business acumen. **Missing Required:** Java / Springboot, Kafka / filas e mensageria, Oracle (database flavor), DB2 (database flavor)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong match on Python, SQL, automation, security/privacy and systems architecture, plus excellent English and engineering degree, aligns well with a Data Office environment. However, there is no direct experience with the core Azure data stack (Data Factory, Synapse, Data Lake, Storage Accounts), Spark, or explicit Data Warehouse/Lakehouse modeling, which are central requirements. Overall profile is technically strong and fast-learning but under-indexed on the specific Azure data engineering toolchain. **Strengths:** - Robust Python/SQL background with demonstrated use in production-grade automation (JIT inventory system, trading bots, client automations). - Solid infrastructure and DevOps mindset (Docker, Terraform, CI/CD, Linux, security/RBAC) valuable for building reliable, scalable data platforms. - Proven fast learner with self-taught AI infrastructure and quant projects, plus strong English and an engineering degree, indicating high upskilling potential into Azure data tooling. **Missing Required:** Hands-on experience with core Azure data services for analytics (Data Factory, Synapse Analytics, Data Lake, Storage Accounts, Azure SQL), Practical experience with Apache Spark for large-scale data processing, Experience designing and implementing Data Warehouse / Data Lakehouse / Big Data models, Explicit experience with structured Data Governance and Data Quality frameworks aligned to LGPD/GDPR

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture, automation, and relevant domain expertise (FinTech/Logistics). However, the complete absence of experience with the explicitly required Javascript, NodeJS, Express, and Mongo stack significantly impacts the match, despite strong inferred skills and a 'fast learner' profile. **Critical Gaps:** - Extensive experience with Javascript, NodeJS, Express, Mongo stack **Strengths:** - Systems Architecture & Automation Expertise - Domain Expertise (Logistics, FinTech) - Proven Fast Learner & Intentional Career Trajectory

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong technical acumen in AI infrastructure, Python, and general systems architecture, with a notable self-learning ability. However, the role requires deep functional SAP MM/WM expertise and project experience, which are entirely absent from the candidate's profile, constituting a critical domain mismatch. **Critical Gaps:** - Deep functional expertise in SAP MM/WM modules - Practical experience with SAP ECC and S/4HANA implementations - SAP-specific localization, pricing, and inbound process knowledge **Strengths:** - Proven self-teaching and fast-learner track record - Strong background in systems architecture and automation - Multilingual (Portuguese, English) **Missing Required:** SAP Procurement Knowledge (MM), WM/ eWM, SAP Localization BR, Pricing (SAP context), Inbound Process (SAP context), Pre-sales and Presentation expert, 10+ years of experience on SAP projects (ECC), MM Consultant

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a very strong match for the Solution Architect role, demonstrating extensive experience in API integration, distributed systems architecture, and robust DevSecOps practices. Their career trajectory and fast learner attributes further enhance their profile, outweighing minor gaps in specific desired technologies. **Strengths:** - Strong Solution Architecture and System Integration Experience - Proven Expertise in APIs, Distributed Systems, and DevSecOps - Exceptional Career Trajectory and Fast Learner Capabilities **Missing Required:** Kubernetes, OpenShift, SQL Server, Storage de objetos

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong architecture, cloud, and data pipeline experience, with direct leadership and system design roles. While Snowflake expertise is not explicit, adjacent skills in cloud infrastructure, SQL databases, and data modeling are present, and the candidate's fast learner track record mitigates this gap. ETL, governance, and stakeholder collaboration are inferred from multiple roles, but direct experience as a Data Architect and with Snowflake is missing. **Strengths:** - Cloud infrastructure and automation - Complex system architecture and leadership - Fast learner with proven self-teaching in AI and data domains **Missing Required:** Snowflake (no direct experience), Data Architect (no explicit title)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is a strong general systems architect and fast learner but lacks the mandatory Spanish language skills and critical Salesforce-specific experience required for this Salesforce Industries (SFI) Technical Architect role, leading to disqualification. **Critical Gaps:** - Lack of Salesforce Industries (SFI) Technical Architect experience. - Lack of deep Sales Cloud architecture and customization experience. - No experience with Salesforce development technologies (Apex, LWC, Flows). - Missing mandatory Spanish language fluency. **Strengths:** - Strong General Systems Architecture and Integration - Proven track record of building and deploying complex, automated production systems - Exceptional 'Fast Learner' with demonstrated self-teaching and career progression **Missing Required:** Salesforce Industries (SFI), Sales Cloud, Salesforce configuration, Apex, LWC, Flows, Fluent Spanish communication

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical foundation with demonstrated systems architecture experience, though missing some specific technology requirements. Candidate shows excellent progression from business domains to technical leadership with proven ability to build production systems from scratch. The SSO/security knowledge and English proficiency are strong matches. **Strengths:** - SSO/OIDC security expertise - Production systems architecture from JIT automation - Technical leadership and cross-functional collaboration **Missing Required:** Node.js, Vue.js, MongoDB, Azure, React Native, Kubernetes

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] Critical disqualification due to multiple hard filters: This is an internship position ('Estágio') requiring current student status, while candidate is 33yo with 10+ years experience. Additionally, position has affirmative action requirements for LGBTQIAP+ individuals which candidate doesn't meet. **Critical Gaps:** - Age/experience level - position is for students/interns, candidate is senior professional - Demographic requirements - affirmative action position for LGBTQIAP+ candidates **Strengths:** - Strong Python and AI infrastructure experience - System architecture and integration skills - Self-hosted LLM experience highly relevant **Missing Required:** Student enrollment, Internship-appropriate experience level

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Candidate shows strong technical foundation and data engineering experience through automated inventory systems and data pipeline work, but lacks specific data governance certifications (critical requirement) and formal data warehouse/big data experience. Geographic mismatch (Brazil-based vs Brasília on-site) is also concerning. **Critical Gaps:** - Required professional certifications (CDPSE, CDMP, etc.) - BLOCKING - On-site Brasília requirement vs Brazil remote location **Strengths:** - Strong PostgreSQL/MySQL database experience matches requirement - Proven system architecture and automation capabilities - Python data processing experience (Pandas/NumPy from trading) **Missing Required:** Minimum 2 professional certifications from specified list, Formal Data Warehouse experience, Datalake management experience, Big Data technologies

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents strong general systems architecture, automation, and AI infrastructure experience with excellent soft skills. However, the role is highly specialized in mobile telecommunications network engineering, and the candidate lacks core competencies in mobile networks, MVNO architecture, 5G Core, and specific telecom protocols, leading to critical domain gaps. **Critical Gaps:** - Excellent understanding of Mobile Networks and its architectures - Experience with MVNO architecture(s) and landscape - Experience with 5G Core Mobile Networks **Strengths:** - Strong background in Systems Architecture and Integration, including 'metal-up' architecture. - Proven ability to build and automate complex production-grade systems from concept to execution. - Exceptional 'Fast Learner' profile demonstrated by self-taught AI infrastructure and algorithmic trading, combined with strong business acumen and communication skills. **Missing Required:** Network protocols like MAP, CAMEL, SIGTRAN, DIAMETER, SIP, Knowledge and experience of OCS and Gy/Sy interfaces, Experience with VoLTE and VoWiFi, Experience with LTE, 5G, IMS technologies and protocols, Experience with monitoring tools and protocols in Mobile Networks

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Candidate is a skilled Systems Architect with strong technical foundation, but lacks the critical SAP S/4HANA expertise required for this role. While he has relevant experience in system architecture, cloud infrastructure, and client consulting, the position specifically requires SAP implementation experience, pre-sales consulting in SAP technology, and knowledge of SAP S/4HANA Cloud (RISE) offerings. **Critical Gaps:** - SAP S/4HANA expertise - BLOCKING - SAP implementation experience - BLOCKING - SAP pre-sales consulting experience - BLOCKING **Strengths:** - Strong system architecture background - Excellent client-facing experience - Advanced English proficiency **Missing Required:** SAP S/4HANA implementation experience, SAP migration project experience, SAP technology consulting background, SAP platform knowledge

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-5-mini] Strong technical and architectural fit: proven delivery of production systems, self-hosted LLM clusters, API integrations, Docker, Terraform, SSO/OIDC/SAML and Python-based automation. However the role requires native-level German (hard requirement) which the candidate does not have, so despite the high technical match the candidate is ineligible for this role. **Critical Gaps:** - Native-level German language proficiency (hard filter — disqualifying) **Strengths:** - Proven AI infrastructure experience (self-hosted LLM clusters, GPU usage, privacy-first deployments) - Delivered end-to-end production systems (JIT inventory automation with measurable ROI) - Broad integrations and infrastructure skillset (APIs, Docker, Terraform, Linux, SSO) with strategic, cross-functional leadership **Missing Required:** Native-level German (required by role, not present), 6+ years in enterprise-facing technical roles specifically in B2B SaaS (explicit SaaS enterprise-facing experience not demonstrated), Kubernetes (required: Docker/Kubernetes listed; Kubernetes not shown)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong general systems architecture, infrastructure, and client-facing skills, along with a proven fast-learner track record. However, there is a critical and complete absence of experience with SAP S/4HANA implementations, migrations, and general SAP technologies, which are core requirements for an 'SAP Solutions Architect' role. **Critical Gaps:** - Solid knowledge in SAP S/4HANA implementations and migration projects - Understanding of SAP technologies (versions, platform interdependencies) - Experience in SAP technology consulting and/or pre-sales **Strengths:** - Strong general Systems Architecture and 'metal-up' infrastructure experience. - Proven track record as a 'Fast Learner' with significant self-taught technical capabilities. - Excellent communication, consulting, and client-facing skills. **Missing Required:** Solid knowledge in SAP S/4HANA implementations and migration projects, Understanding of SAP technologies, SAP technology consulting/pre-sales experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong general systems architecture, engineering, and client-facing skills, coupled with a proven fast-learner ability. However, the role is highly specialized for an SAP Solutions Architect, and the candidate entirely lacks experience and knowledge in SAP S/4HANA implementations, consulting, and technologies, creating critical domain gaps that cannot be overcome by transferable skills. **Critical Gaps:** - SAP S/4HANA implementations and migration projects - Practical experience in SAP technology consulting and/or pre-sales - Good understanding of SAP technologies (versions, platform interdependencies) **Strengths:** - Strong general systems architecture and engineering experience. - Proven track record as a 'Fast Learner' with diverse project experience. - Excellent communication and client-facing skills.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match for the AI Solution Architect role, demonstrating extensive experience in AI/ML solution design, systems architecture, and translating business requirements into technical implementations. Their proven 'fast learner' ability and career progression towards AI infrastructure are highly advantageous, despite minor gaps in specific Microsoft cloud technologies. **Strengths:** - Extensive experience in designing and implementing AI/ML solutions (LLMs, Python, algorithmic trading). - Proven ability to bridge business needs with technical solutions, acting as a systems architect and consultant. - Strong track record of independent work, project management, and rapid learning in cutting-edge technologies. **Missing Required:** Microsoft Fabric, Azure ecosystem