[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate is a strong technical leader with deep experience in systems architecture, Python, and infrastructure, but lacks direct Java experience and the required Java ecosystem skills (Spring, Hibernate, Core Java). Leadership, architecture, and database experience are present, but the absence of Java-specific work is a critical gap for a Lead Java Engineer role. The candidate's fast-learner profile and adjacent skills (object-oriented design, SQL, REST APIs) mitigate but do not close the gap. **Critical Gaps:** - No demonstrated Java experience (required domain) **Strengths:** - Technical leadership and architecture - Proven fast learner and self-teacher - Extensive experience with infrastructure and automation **Missing Required:** Java, Spring or Hibernate, JDBC-level database experience (Java context)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] This is a poor fit - the candidate is a highly technical Solutions Architect/AI Infrastructure specialist, while the role is for a QA analyst focused on manual testing and bug analysis. The candidate's background is in building complex automated systems, not quality assurance or manual testing workflows. **Critical Gaps:** - Manual QA Testing - candidate's experience is in building automated systems, not manual quality assurance - Bug Analysis - no demonstrated QA/testing experience - Feature Verification - background is in system architecture, not user-facing feature testing **Strengths:** - Strong English (C2 certified) - Excellent analytical and problem-solving skills - Technical background with Python and system understanding **Missing Required:** Manual QA Testing, Bug Analysis, Feature Verification, Product Testing Experience

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong technical background with extensive experience in Python, SQL, data analysis, and building complex automated systems like LLM clusters and JIT inventory. Their career trajectory and self-taught expertise highlight a remarkable learning agility well-suited for data-intensive roles. While specific experience with dbt, Airflow/Airbyte, and GCP is not explicit, their proven ability to adapt and deliver on similar technologies suggests a high potential for success. **Strengths:** - Strong foundational technical skills in Python and SQL with demonstrated application in complex systems. - Proven ability to build and deploy complex, automated systems, including self-hosted LLM clusters and JIT inventory systems. - Exceptional learning agility, self-taught expertise, and a clear career trajectory towards technical/AI/data roles. **Missing Required:** dbt (modeling, macros, documentations and tests), Airflow, Airbyte, GCP (Cloud Run, Pub/Sub, Firestore, BigQuery)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Critical technology mismatch - candidate has extensive Python/AI infrastructure background but lacks required C#/.NET Core experience. Strong systems architecture skills but in wrong tech stack for this backend role. **Critical Gaps:** - C#/.NET Core backend development - candidate is Python-focused - Azure ecosystem experience - candidate uses AWS/local infrastructure **Strengths:** - Strong backend systems architecture - Production-scale automation experience - Complex domain modeling (supply chain/trading) **Missing Required:** 4+ years C#/.NET Core production experience, Azure Service Bus/messaging frameworks, Kubernetes deployments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong match on Linux, scripting (Python/Bash), automation/IaC, security/IAM and running production systems, but missing direct experience with enterprise API Gateway platforms and the specific APM/observability stack requested. Containers and cloud fundamentals are present (Docker, basic AWS), yet there is no explicit Kubernetes/OpenShift or API management tooling, which are important for this role. Overall this is a solid technical fit with learnable gaps in specific platforms and monitoring tools. **Strengths:** - Solid Linux and scripting (Python/Bash) experience applied to real production automation, trading bots and JIT inventory systems. - Strong background in infrastructure, IaC (Terraform), CI/CD and self-hosted AI clusters, aligning well with cloud/DevOps-oriented API platform engineering. - Relevant security and identity expertise (SSO, OIDC/SAML, RBAC, privacy-focused local AI) supporting governance and access management for API platforms. **Missing Required:** Hands-on administration/support of enterprise API Gateway platforms, Experience with APM/observability tools such as Kibana, Grafana, Dynatrace or Splunk

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate has 10+ years of experience, including direct project management, cross-functional coordination, and technical leadership. Strong evidence of project execution, documentation, and Agile/complex systems experience is present, though there is no explicit mention of using specific project management tools (Jira, Asana, etc.), which is a minor gap. The candidate's fast learner profile, advanced English, and career trajectory toward technical leadership further strengthen the match. **Strengths:** - Project leadership in technical domains - Proven fast learner and self-starter - Experience with large, complex systems

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong match with significant transferable experience. Candidate demonstrates project management capabilities through leading complex technical implementations (automated inventory systems, AI clusters) and has relevant supply chain/logistics domain expertise. However, lacks formal PMO experience and Waterfall methodology certification. **Strengths:** - Supply Chain/Logistics Domain Expertise - Complex System Architecture & Implementation - Leadership & Operations Management **Missing Required:** Formal PMO/Project Management Role Experience, Waterfall Methodology Experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, bringing over 10 years of experience directly relevant to the job's core responsibilities in procurement, inventory management, project planning, and systems maintenance. Their proven ability to build and automate complex systems, coupled with a strong analytical background and continuous learning, aligns perfectly with the functional requirements and desired proactive approach. The engineering degree also meets the educational requirement. **Strengths:** - Extensive experience in Supply Chain, Procurement, and Inventory Management, directly aligning with core job description responsibilities. - Strong background in systems architecture, automation, and data analysis, providing robust support for operational systems and decision-making. - Proven track record of learning and implementing complex technologies (AI infrastructure, algorithmic trading), indicating high adaptability and a 'Fast Learner' profile.

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in systems architecture and automation, with direct, recent experience in self-hosting and optimizing LLMs, foundational programming in Python and SQL, and building production-grade systems. While lacking direct experience with the specific 'core stack' frameworks like LangChain, LangGraph, and LangSmith, the candidate's inferred skills and fast learner bonus suggest a high capacity to quickly adapt. **Strengths:** - Proven expertise in building and optimizing LLM infrastructure and production-grade automated systems. - Strong foundational backend engineering skills including Python, SQL, API development, and CI/CD. - Demonstrated 'fast learner' capability and intentional career progression into technical/AI roles. **Missing Required:** LangChain or similar frameworks for LLM orchestration, RAG (Retrieval-Augmented Generation) pipelines, Testing strategies and evaluation frameworks to ensure consistent LLM performance, Production experience building agentic workflows using LangGraph, Hands-on use of LangSmith for LLM observability, tracing, and evaluation

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents a strong profile in system architecture, Linux-based infrastructure, and automation, showcasing advanced capabilities in self-hosted AI systems and robust project delivery. However, the application exhibits critical gaps concerning explicit experience in Windows environment administration and proficiency with specific enterprise endpoint security solutions like Microsoft Intune or Palo Alto Cortex XDR, which are core requirements for the role. **Critical Gaps:** - Solid experience in Windows environment administration - Knowledge in specific Endpoint Security and Management solutions (Microsoft Intune, ManageEngine, Palo Alto Cortex XDR, Fortinet FortiClient, Cloudflare Warp) **Strengths:** - Strong System Architecture and AI Infrastructure expertise (Linux, Docker, Terraform, LLM clusters). - Proven track record of building complex, automated systems from scratch (JIT inventory, algorithmic trading, custom pipelines). - Demonstrated "Fast Learner" ability and intentional career progression into technical/AI roles. **Missing Required:** ITSM tools familiarity, Explicit, solid network administration experience, Explicit, solid virtualization administration experience, Experience with corporate workstation security policies

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong architectural and systems experience with proven ability to build production systems from scratch. Fast learner profile demonstrated through self-taught AI infrastructure and algorithmic trading. However, missing specific required technologies like TypeScript/Node.js/NestJS and observability tools (Datadog, OpenTelemetry). **Strengths:** - Systems Architecture & Design - Production System Building - Fast Learning & Self-Teaching Ability **Missing Required:** TypeScript, Node.js, NestJS, Datadog, OpenTelemetry

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong technical and analytical skills, including SQL and Agile methodologies, with a proven 'fast learner' track record. However, a critical gap exists in the mandatory 5 years of specific Business Analyst experience in a data/analytics environment, and direct experience with required data visualization tools is missing. **Critical Gaps:** - Mandatory minimum 5 years of experience as a Business Analyst in a data or analytics-focused environment. **Strengths:** - Strong proficiency in SQL and data analysis derived from quantitative roles and automated systems. - Proven ability to design and implement complex data-driven solutions (JIT systems, trading bots, LLM clusters). - Demonstrated 'fast learner' ability and continuous education in advanced technical domains. **Missing Required:** Minimum 5 years of experience as a Business Analyst in a data or analytics-focused environment, Hands-on experience with data visualization tools (Power BI, Tableau, or Looker)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong match with proven Python expertise, data pipeline experience, and analytical skills from e-commerce automation and trading systems. Missing direct OCR experience, but demonstrated fast-learner track record (self-taught AI, trading bots) suggests high adaptability. English fluency and remote readiness are exact matches. **Strengths:** - Advanced Python with proven production data pipelines (JIT inventory, trading bots, automation scripts) - Strong analytical skills with attention to detail (risk management algorithms, supply chain optimization, 95% in-stock accuracy) - Git, agile methods, and collaboration experience; English C2 fluent; 100% remote-ready **Missing Required:** OCR development experience

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong systems/infra and backend experience (Docker, APIs, Clean Architecture, CI/CD, Git) and proven production delivery raise the match, but several core .NET ecosystem requirements (C#/.NET runtime, Entity Framework, SQL Server, RabbitMQ, CQRS) are not demonstrated. Transferable skills and fast-learner evidence reduce the risk but do not fully compensate for missing mandatory platform experience. **Strengths:** - Proven production system architecture and operations (JIT inventory, self-hosted LLM clusters) - Containerization and infrastructure tooling (Docker, Terraform, Linux) - Clean Architecture / SOLID practices and API/backend delivery experience **Missing Required:** .NET 6/8 (no C#/.NET experience shown), Entity Framework (no EF/ORM experience shown), SQL Server (only Postgres/MySQL shown), RabbitMQ (no message-broker experience shown), CQRS (not evidenced)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Good candidate with strong technical background and proven project execution, but lacks formal project management experience and specific PM tools/methodology depth. Has demonstrated extreme ownership through founding/running automated business and managing cross-functional technical systems. Strong technical background is an asset for PM roles with engineering teams, and proven self-learner pattern suggests quick adaptation to PM methodologies. **Strengths:** - Advanced English (C2 Certified) - REQUIRED and met perfectly - Four-year engineering degree (Mechatronics) + MIT MicroMasters - exceeds education requirement - Proven extreme ownership: Founded and ran entire automated business, built production systems from scratch with zero supervision - Strong cross-functional coordination experience: Procurement (Electrolux), Supply Chain (Pronutri), Engineering/Operations (Own Business), Finance (Atlas/CryptoCall) - Technical fluency ideal for managing engineering teams: Can speak the language of developers, understand technical dependencies and risks - Demonstrated organizational skills managing multiple complex workstreams (60-branch procurement, automated inventory system, trading algorithms simultaneously) **Missing Required:** 4+ years of professional experience in project coordination/project management roles (has technical/leadership experience but not explicit PM title)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong expertise in AI infrastructure, backend systems, and automation, coupled with a proven fast learning ability. However, the role is explicitly for a Mid-Senior Frontend Engineer, requiring extensive experience in React, JavaScript/TypeScript for UI, micro-frontends, and specific testing frameworks, which are critically absent from the candidate's resume, resulting in a fundamental domain mismatch. **Critical Gaps:** - Lack of significant experience in modern frontend software development, including UI frameworks (React, Next.js), frontend architectural patterns (micro-frontends, monorepos), and dedicated frontend testing. **Strengths:** - Exceptional system architecture and AI infrastructure expertise. - Demonstrated fast learning ability and a proactive approach to mastering new, complex technologies. - Strong backend, automation, and data analysis skills, including Python, SQL, Docker, and CI/CD. **Missing Required:** 4+ years of experience in frontend or full-stack software development, Strong hands-on experience with React, Strong hands-on experience with modern JavaScript / TypeScript (in frontend context), Experience working in monorepo setups (frontend context), Experience working in micro-frontend architectures, Solid understanding of frontend performance, state management, and component design, Ability to write and maintain frontend tests using Playwright and Vitest, Experience maintaining and incrementally modernizing legacy frontend components (AngularJS, jQuery)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong Python, SQL, general systems architecture, and automation skills with a solid career trajectory towards AI infrastructure, backed by a fast-learner profile. However, there are significant critical gaps in specific cloud data engineering platforms and tools (AWS/GCP data services, big data frameworks like Spark/Hadoop, and specific ETL/orchestration tools) that are core requirements for this role. **Critical Gaps:** - Extensive AWS Data Services (EKS, EMR, Lambda, S3, Redshift) - GCP Data Services (BigQuery, DataFlow, Composer) **Strengths:** - Strong Python programming and automation skills, applied to complex production systems. - Proven background in systems architecture, integrating business logic with technical solutions. - Demonstrated experience with AI infrastructure (LLM clusters) and robust software engineering practices including security and governance. **Missing Required:** Analytical Data Architecture (Data Lake, Data Warehouse, Lakehouse, Data Mesh), Big Data/Distributed Processing (Spark, Hadoop, Flink), Cloud Data Services Focus, FinOps Practices, Data Mesh, Data Products

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled Systems Architect and AI Infrastructure specialist with extensive experience in Python, Linux, and complex system design. However, the role explicitly requires specific WordPress development and support experience, including HTML, CSS, and JavaScript for front-end issues, which is entirely absent from the resume. This fundamental domain mismatch makes the candidate a poor fit for this particular WordPress support role. **Critical Gaps:** - WordPress specific development and support expertise **Strengths:** - Strong problem-solving abilities - High English proficiency (C2 Certified/Fluent) - Fast learner with strong self-teaching track record - Deep systems architecture and automation expertise **Missing Required:** 1-3+ years of hands-on WordPress experience, Strong experience managing WordPress themes, plugins, and content updates, Working knowledge of HTML, CSS, and basic JavaScript, Comfort troubleshooting common website and plugin issues

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] Candidate demonstrates strong systems architecture and automation experience with transferable skills (Python automation, CI/CD, APIs, SQL databases), but lacks the Microsoft ecosystem expertise that dominates this role. Critical gap: No Power Platform (Power Automate/Apps/BI), Azure DevOps, or VBScript experience. The role requires a Microsoft-focused developer, while the candidate is a Linux/Python/Docker architect. **Critical Gaps:** - Microsoft Power Platform - Core requirement for 80% of responsibilities - Frontend web development (HTML/CSS/JavaScript) - Required, candidate is backend-only - Azure DevOps - Required for versioning/CI/CD, candidate uses GitHub/generic CI/CD **Strengths:** - Strong automation mindset with proven JIT system achieving >95% uptime - API integration experience transferable to Power Platform connectors - SQL database knowledge applicable to Dataverse and reporting **Missing Required:** Power Automate, Power Apps, Power BI, VBScript, Azure DevOps Boards/Repos/Pipelines, SharePoint Online, Web development languages (HTML/CSS/JavaScript), Low-code/no-code platform experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses a strong technical background in modern infrastructure, automation, and AI. However, there are significant gaps in specific proprietary tools explicitly required by the job description, such as IWS, Control-M, VMWare, Jumpserver, and WebSphere, which are critical for the daily operational responsibilities. While the candidate demonstrates a fast learning ability and relevant technical fundamentals (Linux, scripting, general Microsoft tools), the absence of these direct tool proficiencies results in a low match score. **Strengths:** - Strong background in systems architecture, automation, and modern infrastructure (Docker, Terraform, Linux, Git, CI/CD). - Proven ability to learn and implement complex technical systems (AI infrastructure, algorithmic trading). - Extensive experience in Python, SQL, and shell scripting, applied in production and development environments. **Missing Required:** IWS (IBM), Control-M (BMC), VMWare, Jumpserver, WebSphere, Skype, Exchange

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong match for this Junior Platform Access Analyst role at Ebury. Their extensive background in systems architecture, automation, and security principles, coupled with direct experience in financial/trading environments, aligns well with the job's core responsibilities for access management, compliance, and platform administration. The 'Fast Learner' trait and strong analytical acumen further enhance their fit. **Strengths:** - Strong foundational knowledge and practical experience in security, access control (RBAC, SSO), and system administration, directly applicable to secure access management. - Proven ability to build, deploy, and administer complex production systems, demonstrating strong organizational, analytical, and problem-solving skills highly valued for platform management. - Direct experience in fast-paced, regulated financial and trading environments, combined with a 'Fast Learner' mentality, makes them highly adaptable to Ebury's FinTech culture. **Missing Required:** Specific experience with AML user documentation tasks

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong experience in data pipeline automation, Python, DevOps, and system architecture, aligning well with general responsibilities. However, critical gaps exist in specific distributed computing platforms (Spark/Hadoop/Databricks), Azure cloud knowledge, and Azure certification, which are explicit requirements for the role. **Strengths:** - Strong Python skills demonstrated in complex, production-level projects. - Extensive experience in building and optimizing data/automation pipelines and system integration. - Proven ability in system architecture, DevOps (CI/CD), and cross-functional communication. **Missing Required:** Distributed computing (Spark/Hadoop/Databricks), Databricks, Cloud solutions (Azure), Certificação Cloud Azure, Container (Kubernets – OpenShift/AKS)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong background as a Solutions Architect and demonstrates practical leadership in complex projects, aligning well with the job's core requirements. While explicit agile framework experience (Scrum, Kanban, SAFe) and specific certifications are not detailed, the candidate's proficiency in related practices like CI/CD and a clear trajectory towards technical leadership make them an excellent match. **Strengths:** - Solution Architecture & System Integration Expertise - Proven Project Leadership & Delivery - Strong AI/Cloud Infrastructure & DevOps Knowledge **Missing Required:** Explicit Agile Framework experience (e.g., Scrum, Kanban, SAFe)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong match with solid technical foundation and relevant domain experience. Candidate demonstrates advanced SQL/data skills through automated systems and has supply chain analytics background directly applicable to the role. Missing formal business analysis experience and specific BI tools, but shows strong learning track record and architectural thinking that translates well to analytics solutions. **Strengths:** - Strong SQL and database expertise - Supply chain analytics domain experience - Proven systems architecture and automation skills **Missing Required:** 5-7 years business analysis experience, Power BI/Tableau proficiency, Agile/Scrum methodology experience

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong leadership in technical project execution and possesses excellent organizational and communication skills, supported by over 10 years of experience with complex systems. However, direct experience with modern project management tools like Jira/Confluence and Agile/Scrum methodologies is not explicitly stated. While strong in project leadership, their career trajectory leans more towards technical architecture than dedicated project management. **Strengths:** - Extensive experience (10+ years) leading and delivering complex technical projects. - Strong technical foundation and proven ability to work with large, complex systems. - Demonstrated strong organizational skills and strategic thinking (ROI, operational resilience). **Missing Required:** Experience maintaining project documentation, timelines, and action items, Familiarity with project management tools such as Jira, Confluence, Asana, Monday, or similar platforms, Experience working on Agile/Scrum teams

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly accomplished technical leader and systems architect with strong organizational and general project management skills. However, there is a critical mismatch with the Sales Project Coordinator role, lacking direct experience in sales-specific coordination, CRM systems, and the required physical security/construction project environments. While possessing transferable skills, the fundamental domain difference makes this a poor fit for the position. **Critical Gaps:** - Role type mismatch: Deep technical/engineering leadership (AI Infrastructure, Solutions Architect) vs. Sales Project Coordination (administrative sales support). **Strengths:** - Strong organizational and general project management capabilities - Proficiency in Microsoft Office Suite (Excel, Outlook, Word) and budgeting/procurement - Demonstrated fast learner with a strong technical career trajectory **Missing Required:** 2+ years of experience in sales coordination, CRM systems experience

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4] Strong technical foundation with systems architecture and automation experience, but missing 5+ years SAAS implementation requirement and key frontend/CRM skills. Candidate's AI infrastructure and automation background provides transferable problem-solving abilities for technical implementations. **Strengths:** - Systems Architecture & Automation - Technical Problem Solving & Integration - Business-to-Technical Translation **Missing Required:** 5+ years SAAS implementation experience, CRM Integration experience, Frontend web development

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly skilled technical leader with deep expertise in AI infrastructure, automation, and project management, demonstrating a strong 'fast learner' aptitude. However, there is a critical gap in direct executive administrative support experience, which is the primary function of this EA role, alongside a lack of proficiency in specific required administrative tools like HubSpot, Notion, Slack, and Google Workspace. **Critical Gaps:** - Direct Executive Administrative Support Experience (e.g., CEO inbox/calendar management, travel logistics, meeting preparation for a senior executive) **Strengths:** - Exceptional technical acumen and AI infrastructure expertise - Proven ability to build and automate complex systems for efficiency - Strong 'fast learner' with continuous education and clear career progression **Missing Required:** 1-3 Years of direct Executive Assistant experience supporting senior leaders, HubSpot proficiency, Notion proficiency, Slack proficiency, Google Workspace proficiency

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong technical acumen in modern system architecture, automation, and AI infrastructure, with direct experience in PostgreSQL. However, there is a critical gap in the primary required skill, Microsoft Visual Foxpro (and its alternative, Delphi), and a lack of explicit C# experience for component maintenance, making this a poor fit despite a proven fast-learner track record. **Critical Gaps:** - Microsoft Visual Foxpro (primary required legacy language) **Strengths:** - Strong system architecture & automation skills - Proven fast learner & continuous education - Direct PostgreSQL experience and robust relational database knowledge **Missing Required:** Microsoft Visual Foxpro, Delphi, C# maintenance experience

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong backend engineering, systems architecture, and DevOps skills with extensive Python, Docker, and Terraform experience. However, there are significant gaps in strong AWS cloud services knowledge and NoSQL database proficiency, which are critical for the role's expected ownership of cloud infrastructure and data models. The candidate's 'fast learner' bonus and career trajectory are highly positive. **Critical Gaps:** - Strong, in-depth experience with AWS services (serverless, compute, storage, IAM, networking) required for cloud infrastructure ownership. - Proficiency with NoSQL databases (MongoDB, DynamoDB, or similar) for data model ownership. **Strengths:** - Extensive backend engineering and systems architecture experience with a proven track record in building automated, production-grade systems. - Strong command of core DevOps principles, CI/CD pipelines, and IaC with Terraform, complemented by robust Python and Docker skills. - Demonstrated 'fast learner' ability, intentional career progression towards AI infrastructure, and a clear capacity for ownership and technical leadership.

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] This is a poor match due to critical domain gaps. The role requires digital marketing expertise (Meta Ads, Google Ads, performance marketing) while the candidate's background is in systems architecture, AI infrastructure, and supply chain analytics with no demonstrated marketing experience. **Critical Gaps:** - Digital Marketing - BLOCKING - Paid Media Campaign Management - BLOCKING - Marketing Analytics Platforms - BLOCKING **Strengths:** - Fluent English (C2 certified) - Strong analytical background - International client experience **Missing Required:** Meta Ads expertise, Google Ads expertise, Marketing campaign management, Looker Studio dashboard creation, Digital marketing analytics, Media planning, Marketing attribution models

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents as a strong match, excelling in AI infrastructure, system design, and python-based autonomous systems. Their founder experience and clear career progression align well with the founding engineer role. The primary gap is a lack of explicit JavaScript/frontend experience for the full-stack requirement. **Strengths:** - Deep expertise in AI infrastructure and LLM deployment - Proven ability to architect and build complex, autonomous systems from scratch (e.g., JIT, trading bots) - Strong foundation in Python, system design, and full lifecycle engineering ownership **Missing Required:** Proficiency in JavaScript (for full-stack frontend)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a very strong match for the Senior Systems Analyst role, demonstrating extensive experience in system architecture, integration, testing, and troubleshooting across various technical domains. While some specific tool familiarity (like ticket management and SAP) is missing, the candidate's strong technical foundation, rapid learning ability, and direct experience in building and supporting complex production systems for e-commerce and AI infrastructure align exceptionally well with the job requirements. **Strengths:** - Robust Systems Architecture and Integration Expertise - Profound Troubleshooting and Technical Problem-Solving Skills - Strong Alignment with B2C/E-commerce System Needs and Security Monitoring **Missing Required:** Familiaridade com ferramentas de gestão de chamados

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in process automation, Python, data analysis, and team leadership, with a clear trajectory toward AI and digital transformation. While there is no direct mention of Microsoft Power Platform (Power Automate, Power Apps, Power BI), the candidate's proven fast-learning ability and broad automation background suggest high adaptability. The only notable gap is the lack of explicit Power Platform experience, but all other requirements are met or exceeded. **Strengths:** - Python automation and data analysis - Proven fast learner with self-taught AI/automation skills - Leadership and mentoring experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match, demonstrating extensive senior project leadership through founding and scaling an e-commerce business from scratch. Their hands-on technical acumen, combined with a strategic, autonomous, and results-oriented profile, aligns perfectly with the core requirements of leading a New Co's implementation. The fast-learner bonus and strong domain exposure in finance and supply chain further enhance their fit, despite limited explicit experience in leading branding or corporate legal structuring projects. **Strengths:** - Proven ability to build and lead complex systems/companies from inception (Founder experience). - Highly senior, hands-on, strategic project leadership with strong technical acumen. - Demonstrated fast-learner with a track record of implementing cutting-edge technologies and driving projects autonomously. **Missing Required:** Project leadership in corporate legal structuring, Branding project management

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in automation, ERP integration, financial systems, and Clean Architecture, all directly relevant to the job. While TypeScript, NestJS, NextJS, Prisma, and GCP are not explicitly listed, the candidate's proven fast-learning ability, deep Python/SQL experience, and history of building production systems with new technologies mitigate these gaps. The only notable missing skills are specific to the JavaScript/TypeScript stack, but the candidate's background suggests rapid upskilling is likely. **Strengths:** - Automation of business processes and ERP integration - Clean Architecture and database modeling with SQL - Proven fast learner with self-taught expertise in new domains

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong architecture, leadership, and backend experience, with deep expertise in Python, SQL databases, Docker, and cloud fundamentals. However, there is no direct experience with Java SE 21, Google Cloud Platform, or specific Google services (GKE, Pub/Sub, Dataflow), and automated testing tools (JUnit, Mockito, JMeter) are not mentioned. Leadership, architecture, and CI/CD skills are strong, but the lack of Java and GCP is a significant gap for this specific role. **Critical Gaps:** - Java SE 21 (required backend language is missing) **Strengths:** - Technical leadership and architecture - Cloud and infrastructure automation - Proven fast learner with strong self-teaching record **Missing Required:** Direct Java experience, Direct Google Cloud Platform experience, Automated testing with JUnit/Mockito/JMeter

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] You are a strong technical project leader with substantial experience managing complex initiatives, analytics-heavy work, and procurement/supply-chain operations, which map well to a Senior Project Manager in a technical environment. The main weaknesses are lack of direct transit/ITS industry experience, no PMP, and no explicit Microsoft Dynamics AX exposure, plus limited evidence of 10+ years specifically as a customer-facing Project Manager. Overall you align well on leadership, technical context, analytics, and stakeholder-oriented delivery, but fall slightly short on some domain and credential preferences. **Strengths:** - Strong technical project and systems background in engineering-heavy environments with hands-on architecture experience - Deep analytical and quantitative experience from supply chain analytics and quantitative trading roles - Relevant operations, logistics, and procurement background that transfers well to complex transit project delivery **Missing Required:** Experience in transit industry, Clearly documented 10+ years’ experience as a Project Manager delivering projects to external customers

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] Strong match on security/access concepts (SSO, RBAC), analytical finance/trading background, and English fluency, with clear evidence of process discipline and automation that transfers well to access lifecycle and compliance work. Main gaps are lack of explicit JML/user provisioning experience, ticketing tools (JIRA), and G Suite/Workspace, though they appear quickly learnable for this junior role. Overall, the profile is slightly more senior/architectural than the role but technically and domain-wise well aligned. **Strengths:** - Direct security and identity background (SSO/OIDC/SAML, RBAC, privacy) closely aligned with secure access management and least-privilege principles. - Finance and trading domain experience with quantitative and risk-management focus, matching a banking/trading platform environment. - Demonstrated ability to design and run automated, resilient operational processes, showing the discipline needed for meticulous access lifecycle, record keeping, and audits. **Missing Required:** Hands-on, explicitly stated experience executing JML (Joiners, Movers, Leavers) processes on corporate platforms, Explicit day-to-day user access administration for banking/trading platforms (account creation, entitlement changes, deactivation) as an operations function rather than as an architect/user

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for the Data Engineer Manager role. They possess comprehensive experience in leading technical teams, deep expertise in data engineering, data science, and AI infrastructure, all within a relevant financial and tech-heavy context. Their demonstrated fast learning ability and clear career progression further enhance their suitability. **Strengths:** - Strong leadership and engineering expertise in building and automating production systems. - Deep hands-on experience in AI infrastructure, data engineering, and data science methodologies. - Proven fast learner with a relevant career trajectory and strong financial domain knowledge.

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] This is a complete skill domain mismatch. The candidate is a Systems Engineer/AI Infrastructure Architect while the role requires Architecture and Urbanism degree with project design, AutoCAD, and construction management experience. **Critical Gaps:** - Architecture and Urbanism degree - BLOCKING - Technical drawing and project design skills - BLOCKING - Construction management experience - BLOCKING **Strengths:** - Negociação com fornecedores - Excel avançado - Comunicação **Missing Required:** Formação Superior em Arquitetura e Urbanismo, Desenvolvimento de projetos executivos, Leitura de desenhos técnicos, AutoCAD, Acompanhamento de obras, Decoração de ambientes

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate presents strong experience in system architecture, API integration, Git, and OIDC for security. However, there is a critical gap in Java 17+ and its associated ecosystem (Spring Boot, JPA, CDI, JMS, Hibernate), which are fundamental requirements for this role. Additionally, key required skills such as asynchronous messaging frameworks, specific microservices orchestration platforms (Kubernetes/OpenShift), API documentation (Swagger/OAS), and database migration tools (Flyway) are not demonstrated. **Critical Gaps:** - Java programming language (Java 17+ and its associated ecosystem including JPA, CDI, JMS) **Strengths:** - Proven expertise in API integration and RESTful development. - Strong understanding and application of Git for versioning and OpenID Connect (OIDC) for security. - Demonstrated ability to architect, build, and deploy complex self-sustainable systems from scratch, showcasing a significant 'fast learner' trait. **Missing Required:** Spring Boot, Asynchronous system integration using messaging frameworks (e.g., Kafka, RabbitMQ), Microservices hosting on Kubernetes or OpenShift, API documentation using Swagger/OAS, ORM frameworks like JPA/Hibernate, Database migration frameworks like Flyway, JWT for application/API security

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptionally strong technical profile with deep experience in systems architecture, automation, and infrastructure, directly aligning with core DevOps principles and required skills like Linux, scripting, cloud concepts, and deployment. While excelling in critical areas, a gap in explicitly demonstrated monitoring practices is noted. His rapid learning ability and intentional career progression towards complex technical roles further highlight a strong, possibly overqualified, match for this support-focused DevOps position. **Strengths:** - Extensive experience in systems architecture, automation, and infrastructure (Linux, Cloud, CI/CD, Python, Docker, Terraform). - Strong problem-solving and implementation skills demonstrated through complex, self-driven projects (JIT system, LLM clusters, algorithmic trading bots). - Proven fast learner with a clear, intentional career progression towards advanced technical and AI infrastructure roles. **Missing Required:** Monitoring

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong match for the Client Success / Project Manager role. They demonstrate extensive experience in IT, project management, and information security, with a proven track record in operations management and technical liaison roles. While proficient in project management, the explicit PMI certification is missing. The candidate's 'Fast Learner' trait and strong career progression are significant strengths. **Strengths:** - Strong Technical Acumen & Systems Expertise - Proven Project & Operations Management Skills - High Adaptability and Continuous Learning **Missing Required:** PMI certification

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] Strong match on Python, SQL, DevOps/CI/CD and building automated data-intensive systems, but lacks explicit Azure DataLake and modern data stack tools (Databricks, dbt, Power BI). Career trajectory toward infrastructure/AI and self-hosted systems is adjacent to data engineering, yet the absence of hands-on Azure data engineering and BI tooling would matter for an enterprise ATS. Overall this is a technically solid but tooling-misaligned profile for an Azure-focused Data Engineer (DataLake) role. **Strengths:** - Experiência sólida e recente com Python e SQL aplicados em sistemas de dados e automação - Forte background em infraestrutura, DevOps, Docker, Terraform e pipelines CI/CD - Histórico comprovado de desenhar e operar sistemas automatizados complexos (inventário JIT, bots de trading, clusters de IA) **Missing Required:** Experiência comprovada como Engenheiro de Dados com foco em DataLake na Azure, Proficiência em Azure DataLake, Proficiência em Databricks, Proficiência em dbt, Proficiência em Power BI, Experiência explícita com bancos de dados NoSQL

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified due to not meeting the explicit geographic requirements for the role. Additionally, there is a critical gap in the required 3+ years of experience with Kotlin and Android, which is a core technical skill for the position, and a lack of direct experience with specific LLM evaluation and data generation methodologies. **Critical Gaps:** - 3+ years of experience with Kotlin and Android **Strengths:** - Strong AI Infrastructure background (self-hosted LLM clusters) - Excellent English communication skills (C2 certified) - Proven 'Fast Learner' with self-taught expertise and continuous education **Missing Required:** 3+ years of experience with Kotlin and Android, Experience with LLM-specific evaluation and data generation techniques (SFT, RLHF, Evals)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates 10+ years of backend and systems experience, strong Python, Docker, CI/CD, DevOps, cloud basics, and SQL (Postgres/MySQL). While .NET/C# and ABP Framework are missing, the candidate's proven fast learning, architecture skills, and adjacent tech (Python, Clean Architecture, MVC) mitigate gaps. No critical domain gaps; most requirements are met or inferred, but lack of direct .NET/C# experience prevents a perfect match. **Strengths:** - Backend architecture and automation - Fast learner with self-taught AI/cloud skills - Strong experience with Docker, CI/CD, and SQL databases **Missing Required:** .NET, C#, ABP Framework

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong backend, infrastructure, and automation skills, with direct experience in Docker, CI/CD, Python, SQL (Postgres/MySQL), and API integrations. However, there is no evidence of Java, C#, C++, or Angular experience, which are core requirements for this role. The candidate's AI, automation, and fast-learner profile, plus recent hands-on systems architecture, boost the match, but missing direct experience in key languages and front-end tech limits the score. **Critical Gaps:** - No demonstrated experience in Java, C#, C++, or Angular (required for full stack role) **Strengths:** - Automation and infrastructure (Docker, CI/CD, Python) - AI and systems architecture experience - Fast learner with proven self-teaching and career progression **Missing Required:** Java, C#, C++, Angular, SQL Server, Jenkins

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates a strong, albeit historically weighted, background in inventory management, financial analysis, and procurement, highly relevant to a cost analyst role. Significant strengths include recent experience in automated JIT systems and a proven track record as a fast learner in complex technical domains. However, the profile has notable gaps in current, explicit experience with specific BI tools (e.g., Power BI, Tableau) and detailed accounting concepts (WIP, IFRS/BRGAAP), which are explicitly listed as required knowledge in the job description. **Strengths:** - Proven expertise in automated JIT Inventory Systems from concept to production. - Solid foundational experience in financial analysis, procurement, and supply chain management. - Demonstrated ability to rapidly acquire and apply new complex technical skills ('Fast Learner' bonus). **Missing Required:** BI tool (Power BI/Tableau/Looker), WIP, depreciation, conversion cost, IFRS/BRGAAP (notions)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is automatically disqualified due to not meeting the hard filter requirement of fluent Spanish. Furthermore, there is a profound mismatch between the candidate's career trajectory and extensive expertise in AI infrastructure and systems architecture, and the job's explicit need for a sales cold caller with proven outbound sales and CRM experience. **Critical Gaps:** - Fluent Spanish language proficiency - Direct experience in outbound sales and cold-calling **Strengths:** - Fluent English (C2 Certified) - Strong problem-solving ability (demonstrated in technical roles) - Proven fast learner (demonstrated across complex technical domains) **Missing Required:** Fluent Spanish, 1+ years of cold-calling and outbound appointment setting experience, Proficiency with CRM (Hubspot) and prospecting tools