[ANALYSIS_REPORT] Candidate possesses strong operational and financial rigor (Financial Analyst, Procurement) suitable for the budgeting/invoicing aspects, and an Engineering background. While he lacks specific 'Project Insight' and AEC-sector experience, his track record as a Founder/Architect demonstrates high capacity to master new tools (Fast Learner) and manage resources. He is technically overqualified for the administrative components (SharePoint, WordPress) but aligns well with the 'Engineering Operations' scope.

[ANALYSIS_REPORT] Candidate possesses all core competencies (Fluent English, Financial Analysis, Research, Organization/Logistics). As a Founder/Operations Head, they have demonstrated the required 'Proactive' and 'Organized' traits. Main gaps are specific to the role's seniority level (candidate is overqualified) and specific travel coordination tooling.

[ANALYSIS_REPORT] Strong candidate with direct domain alignment (Crypto/Blockchain trading background) and solid engineering fundamentals (Python, Terraform, Docker, Architecture). While missing specific enterprise data engineering tools (Spark, Kafka, Airflow), the candidate's history of building complex, self-hosted systems (AI clusters, JIT engines) and 'Fast Learner' profile suggests they can bridge the tool-specific gaps rapidly. The 5+ years of distributed system/API architecture requirement is met through their diverse project portfolio.

[ANALYSIS_REPORT] Strong match for a Senior/Lead role due to 'Founder' mindset and robust infrastructure skills (Docker, Terraform, Self-hosted LLMs). The candidate's Python/Data/SQL foundation is solid. The primary gap is explicit experience with standard 'Model Training' lifecycles (training/tuning classifiers/regressors) vs. his proven 'Algorithmic/Logic' and 'LLM Inference' experience. However, his ability to self-host AI clusters demonstrates he can handle the hardest parts of ML Ops.

[ANALYSIS_REPORT] Strong match for the Data & Consulting profile, particularly in entrepreneurial spirit, ML/AI innovation, and backend infrastructure/automation (Python, Docker, Terraform). The candidate excels in the 'Bridge' role required to translate technical terms for business. The primary hard skill gap is in Front-end development, which is explicitly listed in the project scope, while the candidate is heavily focused on Backend/Data/Infra.

[ANALYSIS_REPORT] Candidate is a strong 'builder' with relevant self-taught AI/LLM experience and solid Python/Backend foundations. However, this is a Senior role requiring 6+ years of specific production ML engineering. Key gaps exist in enterprise-scale MLOps (AWS SageMaker vs. 'AWS Basics') and big data tooling (Spark/Kafka). While the candidate's 'Figure it out' aptitude is high, the specific seniority and tooling requirements for scalable recommendation systems and K8s orchestration are missing from the profile.

[ANALYSIS_REPORT] The candidate is a strong Systems Architect with proven 'fast learner' capabilities (self-hosted AI, algorithmic trading) and solid backend logic experience. However, this is a 'Specialist' role specifically requesting 'Solid experience' in the Java/Kotlin + Spring ecosystem, whereas the candidate is heavily Python-focused. While architectural concepts transfer, the specific language/framework requirement is a significant gap for a specialist level. Strong fit on culture/autonomy, SQL, and general infrastructure (Docker/Terraform), but lacks specific Kubernetes and Java production experience.

[ANALYSIS_REPORT] The candidate is a strong Systems Architect with solid foundations in Infrastructure-as-Code (Terraform) and CI/CD, which are core requirements. However, the role is heavily specialized in the Azure ecosystem (Azure DevOps suite, Azure Policies), whereas the candidate's primary experience lies in AWS and self-hosted environments. While his high aptitude for self-learning suggests he could bridge this gap, he currently lacks the specific 'Azure DevOps' toolchain expertise required to immediately structure governance for a client.

[ANALYSIS_REPORT] Significant role mismatch. The candidate is a Senior Solutions Architect and Founder applying for an entry-level Administrative Assistant role. While the candidate meets the language requirements (English/Portuguese) and exceeds the technical/AI proficiency ('Fast Learner'), the resume highlights high-level engineering and automation expertise rather than the specific clerical, scheduling, and creative design (Canva) tasks required for this support position.

[ANALYSIS_REPORT] Candidate is significantly overqualified for this Operations Admin role. His experience in 'Supply Chain Analytics' and 'Procurement' (managing 60 branches) far exceeds the requested '1-2 years experience'. While he lacks specific 'Residential/Hospitality' domain keywords, his background in building automated logic and financial analysis (Pandas/Python) guarantees mastery of the required Excel/Reporting tasks. The only true gaps are specific low-level administrative workflows.

[ANALYSIS_REPORT] Candidate is technically overqualified for this internship position. He possesses senior-level expertise in the core requirements (Python, Automation, Data Logic) and exceeds the 'Differential' requirements for LLMs (having self-hosted clusters). His background as a Founder/Architect demonstrates the 'Business Efficiency' mindset the role seeks. The only potential mismatch is administrative (role requires current university enrollment; candidate graduated in 2014).

[ANALYSIS_REPORT] The candidate is a strong Modern Infrastructure Architect (Docker, Terraform, Python) with excellent general 'sizing' and hardware skills. However, the role is a specific Support/Implementation position for a proprietary ERP (Sankhya) requiring a traditional Enterprise stack (Oracle, WildFly, Java troubleshooting). While the candidate's 'Fast Learner' ability covers the OS and general database concepts, the specific requirement for intermediate experience in 'Sankhya W' and heavy reliance on the Java/Oracle ecosystem (WildFly, AWR, Flight Recorder) represents a significant stack mismatch.

[ANALYSIS_REPORT] Candidate is an exceptional fit for the core 'Business-Tech Bridge' requirement, exceeding the analytical depth typically required. His background in Mechatronics and 'Solutions Architecture' covers the system analysis needs thoroughly. While MongoDB is a specific gap, his proficiency in SQL, Python/Pandas, and complex self-hosted data systems indicates he can master it immediately. He likely uses Agile/Kanban principles implicitly in his engineering management roles.

[ANALYSIS_REPORT] Strong match on core automation skills (Python, Bash) and Infrastructure as Code (Terraform). The candidate's 'AWS Basics' is the primary gap for an AWS-specialized role, but their deep experience with self-hosted clusters and general systems engineering suggests they can bridge the gap to specific tools like CloudFormation/CDK quickly. Meets the 'Middle' seniority level easily.

[ANALYSIS_REPORT] The candidate is a strong 'Systems' and 'AI' match who approaches the role from an Engineering perspective (Code) rather than the requested Operations perspective (No-Code). His experience building self-hosted AI clusters and custom JIT inventory systems significantly exceeds the technical complexity of the required 'AI-Enabled Workflows' and 'Automation'. While he lacks the specific SaaS keywords (Airtable, Zapier), his proficiency in Python, APIs, and Data Analysis guarantees he can master these tools immediately. He fits the 'Fast Learner' and 'Independent Problem Solver' profiles perfectly.

[ANALYSIS_REPORT] The candidate has a strong match for the 'AI/ML' and 'Python' components, backed by impressive self-hosted infrastructure and algorithmic experience that aligns with the 'Fast Learner' trait. However, the role is explicitly 'Full Stack' requiring 5+ years of software development and specific Frontend technologies (React) and Backend JavaScript (Node/Express), which are completely absent from the resume. The candidate is a backend/infra specialist, missing the frontend domain required for this position.

[ANALYSIS_REPORT] Major domain mismatch. The candidate is a strong Backend/Systems Architect applying for a Senior iOS role. While they possess transferable general engineering concepts (API integration, CI/CD logic, Python), they lack the entire core mobile technology stack (Swift, UIKit, Objective-C) and the specific 5-8 years of iOS experience required for this senior-level position.

[ANALYSIS_REPORT] Major domain mismatch. The candidate is a senior Backend/Infrastructure Architect with zero evidence of mobile development experience. The role requires deep expertise in native iOS development (Swift, Cocoa Touch), which is a completely distinct domain from the candidate's skills in Python, AI, and Systems Architecture.

[ANALYSIS_REPORT] Major tech stack mismatch. The candidate is a Python/Infrastructure specialist, while the role is strictly for a Java ecosystem specialist (Spring Boot, Hibernate, JPA). Although the candidate has strong general backend concepts (SQL, Architecture, CI/CD, Docker) and is a proven fast learner, the lack of professional Java experience is a critical gap for a Mid-level ('Pleno') role that typically requires immediate framework proficiency.

[ANALYSIS_REPORT] The candidate is a strong Python and Systems Architect with relevant AI context, but the role specifically requires an expert 'AI Tutor' in Kotlin. The candidate's resume shows zero experience with Kotlin, Java, the JVM, or the Android ecosystem, which are the core subject matter requirements for this specific teaching/training role.

[ANALYSIS_REPORT] The candidate is a skilled Systems and Python Engineer, but this role requires deep expertise in Functional Programming (Scala, Haskell, etc.), a paradigm entirely absent from the resume. While the candidate proves they can learn complex systems (AI clusters, trading algorithms), the gap between Python automation and production-grade Typelevel Scala is a fundamental domain mismatch.

[ANALYSIS_REPORT] Candidate is a strong Systems Integrator with proven API and automation experience (Python, JIT systems), which aligns with the core concept of the role. However, this is a niche tool-specific role ('Mulesoft Developer'), and the resume lacks evidence of the specific Mulesoft ecosystem (Anypoint, DataWeave, RAML). While the candidate could likely learn it quickly given their engineering background, the lack of immediate familiarity with the primary toolset is a significant gap.

[ANALYSIS_REPORT] Major domain mismatch. The role specifically requires a Salesforce Developer with deep expertise in its proprietary ecosystem (Apex, Visualforce, Lightning), while the candidate is a Python/AI/Infrastructure Architect. Although the candidate has strong general engineering and API integration skills, they lack the fundamental specific hard skills and languages (Java/C# equivalent for Apex) required for this role.

[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.