[ANALYSIS_REPORT] Major mismatch in core tech stack. The role strictly requires 7+ years of Ruby/Rails and React experience, neither of which appears on the resume. While the candidate is a strong Python/Infrastructure architect with 'Fast Learner' traits, the requirement for deep seniority in a completely different ecosystem (Ruby) makes this a poor fit.

[ANALYSIS_REPORT] The candidate has strong domain expertise in Supply Chain and Finance, which aligns with the business logic of the role. However, the position is strictly for a 'JDE Developer' requiring specific experience with Oracle's proprietary JD Edwards Enterprise One toolkit (Version 9.1+). The candidate's stack is modern (Python, Docker, AI), and there is zero evidence of JDE development experience. Additionally, the required 'Advanced Spanish' is missing from the resume.

[ANALYSIS_REPORT] The candidate is a strong Systems Architect and 'Fast Learner' with impressive self-hosted AI and automation experience (Python), which aligns well with the 'Nice-to-Have' AI and DevOps requirements. However, the core role demands 'Strong' AWS experience (candidate lists 'Basics'), specific NoSQL expertise (candidate lists SQL), and Node.js development (candidate is Python-focused). While the candidate has the engineering maturity for the role, the specific stack depth (AWS/Node.js/NoSQL) presents a significant ramp-up period for a Senior/Lead position.

[ANALYSIS_REPORT] Critical technical stack mismatch. The role strictly requires legacy Mainframe development experience (Cobol, DB2, IMS), while the candidate is a specialist in modern Cloud, Python, and AI infrastructure. Although the candidate has background in the Financial domain, the specific engineering tools required are completely absent from their profile.

[ANALYSIS_REPORT] Critical mismatch. The role explicitly mandates Japanese language skills (N-3 level), which are not present on the resume. Additionally, the candidate is a technical Systems Architect/Engineer, while the role is a non-technical Project Manager focused on Translation and Localization workflows. The candidate's deep engineering and automation skills are not utilized here.

[ANALYSIS_REPORT] Critical mismatch in strict requirements. The role strictly requires German language proficiency (B1) and the Java ecosystem, neither of which appear on the resume. The candidate is a senior Python/Systems Architect, whereas this role is a Java/Web Developer. While the candidate is a fast learner, the combination of a missing spoken language and a completely different primary tech stack makes this a poor fit.

[ANALYSIS_REPORT] The candidate is a strong Systems/Backend Architect with solid Python and Infrastructure skills (Docker, AWS, SQL). However, the role is explicitly 'Senior Python and React', implying a Full Stack position. The candidate lacks any mention of Frontend development (React) which is a major missing domain. While the Python foundation is strong (Fast Learner), the specific requirement for Django/DRF is also missing.

[ANALYSIS_REPORT] Critical domain mismatch. The role requires a specialist in 'Outsystems' (a low-code platform) and Frontend Web Development (HTML/CSS/JS/React). The candidate is a Backend/Infrastructure/AI Architect with no listed experience in low-code platforms or frontend web technologies. While the candidate is a fast learner, this role is for a specific stack completely outside their demonstrated history.

[ANALYSIS_REPORT] Major domain mismatch. The candidate is a strong Backend/Systems Architect with expertise in Python, Automation, and Infrastructure, but the role is strictly Frontend Engineering requiring advanced HTML, CSS, and TypeScript. While the candidate is a fast learner, the resume shows no evidence of web UI development, making this a 'totally missing domain' scenario per the evaluation rules.

[ANALYSIS_REPORT] Critical domain mismatch. The candidate is a Backend/Systems/AI Architect, while the role requires a Senior iOS Specialist. The candidate lacks the entire mobile development stack (Swift, iOS SDK), which is a 'totally missing domain' per the penalty rules. Even as a fast learner, a Senior role requiring 4+ years of specific commercial iOS experience and niche architecture (TCA) is out of scope.

[ANALYSIS_REPORT] Strong conceptual and domain fit (FinTech/Trading background, Microservices, Cloud, APIs, Auth), but a significant mismatch on the primary implementation stack. The role requires deep Java/Spring Boot expertise, whereas the candidate is Python/Infrastructure focused. While the candidate's 'Fast Learner' track record (self-hosted LLMs, Mechatronics) suggests they could bridge this gap, the lack of commercial Java experience is a primary strict deficit for this specific 'Software Engineer' seat.

[ANALYSIS_REPORT] Candidate has a strong engineering background with proven expertise in Python, SQL, Docker, and Linux environments, satisfying most core requirements. The specific requirement for 'Django mastery' is the notable gap, as the resume focuses on automation and data/AI rather than web frameworks. However, the candidate's track record of building complex, self-hosted systems suggests the ability to master Django rapidly.

[ANALYSIS_REPORT] Significant technology stack mismatch. The role is a Senior Fullstack position requiring deep expertise in the Microsoft ecosystem (.NET/C#) and Frontend (React), whereas the candidate is a Python/Infrastructure/AI specialist. While general engineering principles (SQL, APIs, Git) transfer, the candidate lacks the core language and framework experience required for this specific role.

[ANALYSIS_REPORT] Significant domain mismatch. The position is a Senior Fullstack role requiring deep expertise in the Java ecosystem (Spring) and Frontend (Angular/TypeScript). The candidate is a highly skilled Systems/Solutions Architect with a focus on Python, Automation, and Infrastructure/AI. While the candidate matches on DevOps (Docker/CI/CD) and general Database concepts, they lack the two specific mandatory pillars of this role (Java and Angular). Even as a fast learner, bridging the gap to 'Senior' level in a completely different language and frontend framework is not feasible for immediate impact.

[ANALYSIS_REPORT] Major domain mismatch. The candidate is a skilled Systems Architect/Python developer with strong backend and infrastructure skills, but the role requires a Senior Salesforce Specialist. The candidate lacks 100% of the mandatory platform-specific technologies (Apex, LWC, Visualforce) which are non-negotiable for a Senior role, despite having transferable concepts like API integration and Git.

[ANALYSIS_REPORT] Candidate is a highly capable Systems Architect with strong Python, Automation, and Infrastructure skills (Docker, Self-hosted AI). However, there is a significant stack mismatch: the role requires deep Java, Node.js, and Apache Kafka experience, which are absent from the resume. While the candidate's 'metal-up' architecture experience and rapid learning ability (e.g., self-hosting LLMs) suggest they could adapt, the immediate requirement for Java distributed systems and Kafka streaming represents a steep learning curve.

[ANALYSIS_REPORT] The candidate has strong foundational skills in Data Analytics, SQL, and System Architecture, which align with the general domain. However, this is a short-term specialist role explicitly requiring 10+ years of 'MicroStrategy' experience. Since MicroStrategy is a proprietary, complex BI platform and the candidate's resume shows zero experience with it, this is a critical gap that cannot be bridged by 'fast learning' within the context of a 3-6 month contract requiring immediate expert-level delivery.

[ANALYSIS_REPORT] Strong match for the Backend (Python), FinTech domain, and Brazil-based requirements. The candidate demonstrates exceptional 'Fast Learner' traits (Founder, AI self-hosting) and architectural depth. However, the profile is heavily Backend/Infrastructure focused, completely missing the specific 5+ years of Senior Frontend experience (Vue.js, TypeScript) required for this Fullstack role.

[ANALYSIS_REPORT] Critical skills mismatch. The role strictly requires a Java Subject Matter Expert (3+ years in Java 17+, Spring, JVM internals) to function as an 'AI Tutor' correcting code. The candidate is a Python/Infrastructure specialist. While the candidate's background in Local LLMs and AI Strategy is culturally aligned with the company, they lack the specific technical stack mastery required to generate and evaluate complex Java code as requested.

[ANALYSIS_REPORT] Candidate has a strong engineering foundation with relevant automation, scripting (Python/Bash), and IaC (Terraform) experience. The 'Fast Learner' trait helps bridge the gap between 'AWS Basics' and the required 'Strong experience'. However, the role heavily emphasizes specific enterprise tools (Puppet, Kubernetes, Microsoft Stack) that are explicitly missing from the resume, requiring a ramp-up period.

[ANALYSIS_REPORT] Major domain mismatch. The candidate is a Senior Backend/Infrastructure Architect (Python, AI, Cloud) applying for a Senior Front-end role. While an experienced engineer, the resume lacks all core front-end technologies (React, TypeScript) and specialized architectural patterns (Microfrontends) required for this specific senior position.

[ANALYSIS_REPORT] The candidate is a highly capable Systems Architect with strong backend fundamentals (SQL, API design, CI/CD, Docker, AWS) and a proven track record of mastering complex domains rapidly (AI clusters, Algorithmic Trading). However, the role explicitly demands 'Solid hands-on experience with .NET Core / C#', which is the candidate's primary missing domain (he is Python/Infrastructure focused). While he fits the 'Backend' archetype and has the 'Figure it out' trait, the lack of the specific required language stack prevents a higher match score.

[ANALYSIS_REPORT] Strong candidate with perfect domain alignment (Supply Chain Analytics/Management background) and solid engineering foundations (Python, SQL, CI/CD, Distributed Systems). The 'Fast Learner' trait (Self-hosted LLMs, Algorithmic Trading) indicates high capability to master the required data scale. However, there is a significant platform mismatch: the role specifically requires 'Advanced Azure' and 'Databricks/PySpark' experience, whereas the candidate is AWS/Local-cluster focused. The candidate acts more as a Solutions Architect than a specialized Data Engineer, but the domain fit makes them a compelling 'hire to train' for the specific stack.

[ANALYSIS_REPORT] The candidate has exceptional technical and data skills (SQL, Python, self-hosted AI) that far exceed the 'Data Literacy' requirements, and as a Founder, they possess inherent product ownership capabilities (Fast Learner credit applied). However, there is a distinct domain gap: the resume lacks specific Ad-Tech/MarTech knowledge (CDP, DMP, DSP) which is a core requirement. Additionally, while the candidate manages projects, the resume emphasizes Engineering/Architecture over the formal, process-heavy 'Agile Product Owner' lifecycle (4+ years of sprint planning, backlog grooming) requested.

[ANALYSIS_REPORT] Major domain mismatch. The candidate is a strong Backend/Systems Architect with Python and Infrastructure focus, but completely lacks the specific Mobile Development and React Native stack required for this Senior role. While a fast learner, the gap to 'Senior Mobile Dev' is too wide to bridge immediately.

[ANALYSIS_REPORT] The candidate is a strong Systems/Data Architect with deep Python and Automation expertise, but this role is a Senior Full Stack Engineer position heavily focused on Web Development (Frontend/SaaS). The candidate completely lacks the required Frontend domain (JavaScript/HTML/CSS/Angular) and the specific Backend stack (Node.js/Java/Go). While their Infrastructure skills (Docker, AWS, CI/CD) and 'Fast Learner' trait provide a foundation, the gap to a Senior Web Developer is too significant to bridge immediately.

[ANALYSIS_REPORT] Strong cultural and domain fit due to Crypto/DeFi background and 'Fast Learner' aptitude with self-hosted systems. However, the role is explicitly defined as 'React-heavy' (3-5+ years required) with a focus on 'pixel-perfect' Frontend Integration. The candidate is a Python/Backend Systems Architect with zero visible experience in the required Frontend stack (React/TS/Tailwind) or the specific Node.js backend environment.

[ANALYSIS_REPORT] Strong match for the technical 'Data' and 'ETL' components. The candidate's background in building automated inventory and trading systems proves deep expertise in data integrity, complex logic, and SQL/Python, which surpasses standard QA requirements. Primary gaps are specific to the 'QA' job title (formal testing methodologies vs. building robust systems) and the specific Oracle stack (PL/SQL), though his Python/SQL proficiency ensures a rapid transition.

[ANALYSIS_REPORT] Significant tech stack mismatch. The candidate is a senior Python/Automation and Infrastructure engineer, while the role specifically demands 8+ years of Enterprise Java and React web development. While the candidate has transferable architectural skills (Docker, AWS, API integration, System Design), they lack the core programming languages (Java, TypeScript) and frameworks (Spring Boot, React) required for this specific Senior Fullstack position.

[ANALYSIS_REPORT] Significant domain mismatch. The candidate is a technical builder (Engineering/Supply Chain/AI) with a focus on 'metal-up' architecture and Python automation. The role requires a functional manager in Sales/Revenue Operations (Salesforce, Compensation Modeling, Governance). While the candidate has general 'Operations' experience, they lack the specific hard skills regarding Sales cycles, CRM management (Salesforce), and Go-To-Market strategy support required for this position.

[ANALYSIS_REPORT] The provided job description is for a 'Talent Bank' (Banco de Talentos) and does not specify any hard technical skills. The candidate's profile is strong and diverse, demonstrating expertise in AI Infrastructure, Systems Architecture, and various development technologies (Python, SQL, Docker, Terraform). Given the absence of specific requirements and the candidate's 'Fast Learner' context, there are no immediate gaps to penalize. The score is not 100 to account for the unknown future requirements of potential roles within the talent bank, but highly reflects the candidate's strong general technical foundation and problem-solving abilities.

[ANALYSIS_REPORT] The candidate has a strong technical foundation in Python, automation (CI/CD, Shell), and system architecture, fitting the 'Fast Learner' profile perfectly. However, the role is heavily focused on a specific Modern Data Stack (DBT, Snowflake, Airflow) which is completely absent from the resume. While he has the raw engineering capability and domain knowledge (e-commerce/finance) to succeed, he would need to learn the specific toolchain from scratch.

[ANALYSIS_REPORT] Strong match in core engineering (Python, Docker, CI/CD) and AI interest (Self-hosted LLMs, AI Clusters). The candidate's experience with 'Algorithmic Trading Bots' and 'Automated Inventory' demonstrates the logic required for Multi-Agent Systems. Major gaps are specific GenAI application patterns (RAG, Vector DBs, specific Agent orchestration frameworks like CrewAI) which are heavily emphasized in the JD, but his 'Fast Learner' profile and infrastructure background suggest he can bridge this quickly.

[ANALYSIS_REPORT] Strong match on core Python, Engineering, and LLM implementation concepts. The candidate's experience self-hosting AI clusters and building production-grade automation demonstrates the required 'figure it out' capability. Main gaps are specific AWS managed AI services (Bedrock/SageMaker) vs. his self-hosted approach, and a lack of explicit experience with Multimodal/Image generation (Stable Diffusion), as his background is heavily text/data oriented.

[ANALYSIS_REPORT] Strong conceptual match for a Senior Data/ML role. The candidate possesses the core domain skills: Data Pipelines (Python automation/JIT systems), ML Operations (Self-hosted LLMs/Clusters), and Cloud Infrastructure (AWS/Terraform). While the resume lacks the specific 'Azure' flavor (ADF, ML Studio), the candidate's ability to build complex, self-healing systems from scratch demonstrates high transferability. The 'Fast Learner' trait suggests rapid upskilling from general Cloud/SQL to the specific Azure ecosystem.

[ANALYSIS_REPORT] Candidate has excellent 'On-premises' and infrastructure aptitude (Self-hosted AI, Docker, Metal-up architecture) which aligns well with the role's environment. Python and SQL foundations are strong. However, this is a 'Specialist' role requiring a specific Big Data stack (Spark, Airflow, Lakehouse) that is absent from the resume. While the candidate is a proven fast learner, the gap between 'Pandas/Scripts' and 'Spark/Airflow/Data Lakes' at a specialist level is significant.

[ANALYSIS_REPORT] Candidate meets the 6+ years experience and 2+ years leadership criteria (Founder). Strong Infrastructure match (Terraform, Cloud). However, this is a Full-Stack Engineering Lead role and the candidate completely lacks the Frontend domain (React/TypeScript) and the specific Backend stack (PHP/Node.js), although Python expertise mitigates the backend logic gap.

[ANALYSIS_REPORT] The candidate is a strong Systems Architect and Automator (Python/Infrastructure), but this role is a Tech Lead position specifically requiring 'Strong knowledge of Java' and leadership of an engineering team. While the candidate has 'Head of Engineering' experience, it is for a self-owned automated business, which differs from the corporate team leadership and mentorship required here. The primary hard skill gap (Java) is significant for a Lead role expected to review code and maintain standards in that ecosystem.