[ANALYSIS_REPORT] [Model: gemini-cli] The candidate demonstrates strong foundational MLOps skills through hands-on experience self-hosting LLMs and managing local AI clusters (bare metal), which maps well to the 'Understanding models/architecture' requirement. Core coding skills (Python, SQL) and engineering background are solid matches. The significant gap is the depth of AWS experience; the resume cites 'AWS Basics' while the role requires a Senior Engineer to lead strategy in an AWS environment. However, his expertise in Terraform, Docker, and Systems Integration strongly suggests he can bridge this gap quickly. He lacks specific enterprise data tool experience (DataBricks, Snowflake) but understands the underlying concepts (ETL, CI/CD).

[ANALYSIS_REPORT] [Model: gemini-cli] Major domain mismatch. The candidate is a highly skilled Systems/Infrastructure Architect (Python, Backend, AI), while the role requires a Senior Frontend Specialist (React, Micro-frontends, Browser Performance). While the candidate meets the 'Backend experience' requirement, they lack the core mandatory stack (React ecosystem) entirely.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a strong Systems/Infrastructure Architect with leadership experience, matching the 'Senior' and 'Fast Learner' aspects. However, there is a significant stack mismatch: the role requires deep expertise in the Java/Spring and Angular ecosystem to 'mentor' and 'drive excellence', whereas the candidate is specialized in Python, Data, and Infrastructure. While the architectural concepts transfer, the specific hard skills for a Senior Fullstack Java role are largely absent.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate possesses excellent foundational skills in Python, automation, and complex system design (trading bots, JIT), aligning well with the 'Fast Learner' profile. However, the role strictly requires enterprise-scale distributed data tools (Databricks, Kafka, Spark) which are absent from the resume. The transition from local/single-node processing (Pandas, local AI) to distributed streaming is the primary gap.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong match in Architectural seniority and Financial/Trading domain context. The candidate demonstrates high competence in building resilient, automated back-end systems and DevOps (Terraform, CI/CD). However, there is a significant Tech Stack mismatch: the role requires deep JVM (Java/Kotlin) and specific AWS Messaging/Database expertise (Kafka, DynamoDB), whereas the candidate is a Python/Polyglot specialist. Given the 'Fast Learner' trait, he could adapt, but would not hit the ground running as a Senior specialist in this specific stack immediately.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a highly capable Systems Architect/Python Engineer but is a mismatch for this specific role. The position explicitly requires a specialist with 2-3 years of professional WordPress and PHP experience. The candidate's resume focuses entirely on Python, AI, and Infrastructure, with zero mention of the PHP ecosystem or frontend web development (React/CSS) required for WordPress plugin/theme creation.

[ANALYSIS_REPORT] [Model: gemini-cli] Fundamental domain mismatch. The candidate is a Senior Solutions Architect and Systems Engineer specializing in AI and automation, whereas the role is a non-technical Inbound Sales Analyst position. While the candidate possesses strong analytical skills and business acumen (purchasing/supply chain), they lack the specific commercial hard skills required for lead conversion and sales operations.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a strong technical match regarding Python (Pandas/Automation) and Data Science/Engineering overlap, validated by 'Fast Learner' traits (Algo trading, Self-hosted LLMs). The 'Mechatronics' degree satisfies the related field requirement. The score is docked primarily due to the explicit 'AWS Basics' self-assessment versus the JD's required 4-6 years of intermediate experience, and the lack of explicit references to formal Quality Assurance frameworks (pytest) which is a core duty of this specific lead role.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is a high-potential match for the automation and strategic components (Terraform, Python, CI/CD, Architecture), surpassing the 'Pleno' level in engineering capability. However, there is a distinct stack mismatch: the candidate is Linux/Open-Source/AWS oriented, while the role strictly requires the Microsoft ecosystem (Azure, Windows Server, Active Directory). Given the 'Fast Learner' trait, the Cloud switch (AWS to Azure) is a minor hurdle, but the lack of traditional Windows SysAdmin experience is a notable hard skill gap.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical domain mismatch. The candidate is a Systems Engineer and Solutions Architect applying for a Creative Marketing/Content Strategist role. While the candidate possesses deep subject matter expertise in AI (hosting LLMs, infrastructure), they lack the fundamental functional hard skills required for this role: copywriting, video editing, and social media growth strategy. The candidate's technical 'Fast Learner' trait allows for tool mastery, but the role requires an existing portfolio of creative work ('receipts') which is absent.

[ANALYSIS_REPORT] [Model: gemini-cli] Major stack mismatch. The candidate is a Modern DevOps/AI Engineer (Python, Docker, Terraform, Automation) applying for a Traditional SysAdmin/Support N3 role (Windows Server, Active Directory, Firewalls). While the candidate's strong automation skills (Python) directly address the JD's need to 'automate activities', they lack the core enterprise IT administration experience (AD, GPO, Exchange, Appliance Firewalls) required for Senior Level 3 support. They are a builder/architect, not an IT support specialist.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is a strong match for the architectural and 'nice-to-have' requirements (Docker, CI/CD, Automation, Complex Systems Logic). However, there is a distinct language mismatch: the role strictly requires Nest.js (Node.js/TypeScript) experience, while the candidate is a specialist in Python. Given his 'Fast Learner' track record (self-hosting LLMs, building JIT systems), he can likely bridge this gap, but he lacks the specific hard skills requested for immediate productivity in the requested stack.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate demonstrates exceptional 'figure it out' capability and strong alignment with the Engineering/AI culture (Self-hosted LLMs, JIT systems, Python automation). Their background in 'Metal-up' architecture and Terraform mitigates the 'Basic AWS' self-assessment, suggesting rapid upskilling capability for cloud services. However, strictly for a 'Full Stack' role, there is a significant gap in modern Frontend frameworks (React/Vue/Angular) which are not mentioned, and specific AWS managed services (Lambda/ECS) are listed as 'Basic' versus the required 'Solid' experience.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong match in core Python proficiency, System Design, and applied AI (Self-hosted LLMs, Algorithmic Trading). The candidate's background in building 'Automated JIT engines' and 'Crypto Trading Bots' serves as a strong proxy for the required algorithmic depth. However, the resume specifically lacks the requested 'Proven track record' on competitive platforms (LeetCode/Kaggle) and explicit mention of AsyncIO, which are strictly listed requirements.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is significantly overqualified for this entry-level administrative role. The required hard skills (spreadsheets, file control, administrative routines) are a subset of his advanced capabilities in Supply Chain Analytics, ERP modeling, and Financial Analysis. His ability to automate complex logistics implies he can effortlessly handle manual administrative tasks.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong domain match. The candidate possesses the specific Educational (Mechatronics Engineering) and Supply Chain (MITx) background required for a manufacturing marketplace like Xometry. Previous experience as a Procurement/Production Planner directly translates to 'Manufacturing processes' and 'Sourcing Barrier Resolution'. The primary gap is functional alignment: the role is 'Case Management' (high-touch customer service/coordination), while the candidate's recent resume highlights 'Engineering/Automation' (building systems to remove manual coordination). However, the foundational hard skills are present.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate demonstrates strong proficiency in core DevOps practices (IaC with Terraform, CI/CD, Docker) and robust architectural experience. The primary gap is the specific cloud platform (Azure/AKS vs. Candidate's AWS/Local context). Given the 'Fast Learner' profile and transferability of Terraform/Container skills, the transition to Azure is a low barrier.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical domain mismatch. The candidate is a Systems Architect/Engineer applying for a Senior Fashion Product/Collection Management role. While the candidate possesses transferable 'Industrial' and 'Supplier Management' experience from previous roles, they lack the non-negotiable hard skills specific to the fashion industry: Creative Direction, Textile knowledge, and Pattern Making.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is a highly capable Systems Architect and Automation Engineer but is a significant mismatch for a Senior Full Stack Web/Mobile role. He lacks the entire frontend technology stack (React, TypeScript, CSS) and the specific web-backend frameworks (Node.js, PHP/Laravel) required. While he has strong foundational skills in Infrastructure (AWS, Terraform), SQL, and logic (Python), he would require substantial retraining to perform the core daily tasks of building web and mobile user interfaces.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is significantly overqualified for a Junior role (10+ years exp vs Junior) but matches all core functional requirements. He possesses proven Financial Analyst experience, invoice/procurement management skills, and the required fluent English. The only gaps are the specific academic degree in Finance/Accounting (he holds an Engineering degree) and specific domain knowledge in Health Insurance Claims, which his 'Fast Learner' profile suggests he can master immediately.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong domain overlap in Supply Chain/ERP business logic, but a critical platform mismatch. The candidate is an Architect/Builder in the Python/Linux/AI ecosystem, whereas this role demands a 'Senior Specialist' in the Microsoft Dynamics ecosystem (likely requiring C#/.NET stack knowledge). While the candidate has high aptitude and SQL skills, the specific requirement for 'Extensive experience' in Dynamics customization and maintenance prevents a higher score for a Senior role.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong architectural and engineering foundation. The candidate's experience building critical, automated systems (JIT inventory, Algo trading) and self-hosting complex AI infrastructure demonstrates the required 'Senior' depth and 'Fast Learner' trait. While specific keyword matches for standard backend frameworks (Django/FastAPI) and enterprise messaging (Kafka) are missing, his ability to architect 'metal-up' solutions and work with APIs/CI/CD suggests these are trivial gaps he would bridge immediately.

[ANALYSIS_REPORT] [Model: gemini-cli] Major Domain Mismatch. The candidate is a strong Systems/AI Architect with excellent Python and Infrastructure skills, but the role requires a 'Salesforce Specialist'. While the candidate has transferable engineering skills (CI/CD, APIs, Automation) and is a proven fast learner, the lack of specific Salesforce ecosystem experience (Apex, LWC, Visualforce) is a critical blocker for a Specialist-level role which typically demands immediate expertise.

[ANALYSIS_REPORT] [Model: gemini-cli] Major role and seniority mismatch. Candidate is a Senior Solutions Architect/Founder with deep technical expertise (Python, DevOps, JIT), while the role is for a Junior Scrum Master (process-focused, student level). Although his Supply Chain/JIT background is the theoretical foundation of Kanban, the specific Agile software management keywords are absent.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is an exceptional match, technically exceeding the requirements. His background in Algorithmic Trading and Self-Hosted LLMs demonstrates the exact 'System Thinking', 'Edge Case' detection, and 'Structured Data' (JSON/YAML) proficiency required. While the role focuses on manual QA, his engineering background guarantees a deep understanding of the 'logic' and 'complex systems' mentioned.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical Mismatch: The candidate is a Senior/Lead professional (10+ years experience) applying for an entry-level Student Internship. While technically overqualified in AI/Python, the candidate fails the mandatory administrative 'hard requirements' for eligibility: they are not currently enrolled in a degree program with the specific graduation window required (Dec 2026 - July 2027).

[ANALYSIS_REPORT] [Model: gemini-cli] Significant domain mismatch. The candidate is a highly capable Systems Architect and Python/AI specialist, but the role strictly requires a Java/Spring ecosystem expert with niche Adobe Experience Manager (AEM) proficiency. While the candidate's engineering background and 'fast learner' trait are evident, the lack of Java and AEM experience constitutes a fundamental gap for this specific position.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong match based on engineering maturity and 'Fast Learner' profile. The candidate has architected complex, production-grade systems (JIT Inventory, AI Clusters) using Python, demonstrating deep problem-solving and system design capabilities significantly above a standard developer. While the resume emphasizes 'Automation/Data' (Pandas) over 'Web Backend' (Django/FastAPI) and lacks specific enterprise middleware keywords (Kafka, ORMs), his experience building end-to-end solutions implies high aptitude to bridge these specific tooling gaps rapidly.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong strategic match. The candidate excels in the core requirement of 'bridging business to technical AI infra' and possesses proven hands-on experience with self-hosted LLMs and Python automation. While he lacks specific enterprise-scale orchestration (Kubernetes/OpenShift) and big data streaming (Kafka/Elasticsearch) keywords, his 'metal-up' architecture experience and Docker expertise indicate a high potential to master these adjacent technologies quickly.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong match for the core mandate of building a new AI product. The candidate's 'metal-up' experience with self-hosted LLMs and 'founder' mindset aligns perfectly with the requirement for autonomy and deep technical understanding (often exceeding the depth of simple API integrators). Gaps are primarily specific enterprise middleware (Kafka/SQS) and framework keywords (LangChain), which are easily bridgeable given his proven 'Fast Learner' ability and architectural background.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate possesses strong foundational automation and infrastructure skills (Terraform, Docker, Python, CI/CD) and demonstrates high 'Fast Learner' potential via self-hosted AI work. However, there are significant gaps for a 'Senior' role: 'AWS Basics' falls short of required expertise, and there is no direct evidence of Kubernetes orchestration or Apache Airflow experience, though these are adjacent to current skills.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a strong conceptual match, exceeding the '1-3 years' experience requirement with over 10 years of systems engineering. Direct hits on critical modern protocols (OIDC, SAML), RBAC, and automation (Python). 'Missing' skills are specific enterprise platforms (Active Directory, CyberArk) which are low-barrier to learn for a candidate who self-hosts AI clusters and builds algorithmic trading bots.

[ANALYSIS_REPORT] [Model: gemini-cli] Severe role and domain mismatch. The candidate is a Senior Solutions Architect and Engineering Founder applying for an entry-level Customer Support/Call Center role. While overqualified in general technical literacy, he lacks the specific operational experience in high-volume call centers and the specific software stack (Mindbody) required for this support position.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical domain mismatch. The candidate is a Systems Architect/Software Engineer, while the role is strictly for an Architectural Designer/Drafter. The job explicitly requires prior professional experience with 'SoftPlan' software and U.S. residential design, neither of which appears in the candidate's technical or engineering background.

[ANALYSIS_REPORT] [Model: gemini-cli] Significant domain mismatch. The candidate is a high-level Technical Architect and Engineer, while the role is a non-technical Client Account Manager for Support Operations. Although the candidate possesses general business acumen (Founder/Freelance) and proven 'fast learner' traits, they lack the specific hard skills in Customer Support ecosystems (ticketing systems, support metrics) required for this role.

[ANALYSIS_REPORT] [Model: gemini-cli] Significant domain mismatch. The candidate is a technical Solutions Architect and Engineer, whereas the role is a non-technical Account Manager focused on Customer Support operations. While the candidate is a proven fast learner and could easily master tools like Zendesk (given their experience with complex infrastructure like Docker/AWS), their resume lacks specific experience in client retention, support ticket workflows, and personnel management within a support context.

[ANALYSIS_REPORT] [Model: gemini-cli] Major domain mismatch. The candidate is a high-level Technical Architect and Engineer, whereas the role is a non-technical HR/Staffing Operations position. While the candidate's background in Procurement (Electrolux) and Supply Chain offers foundational business logic, they lack the specific Human Capital/Recruitment workflow experience required. The candidate is significantly overqualified technically but underqualified in the specific MSP domain.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is significantly overqualified, holding a 'Head of Engineering' profile with advanced Supply Chain/Automation architecture skills, whereas the role is for an entry-level L1 Monitoring Technician (managing printers/stock). While the candidate possesses superior technical aptitude and could easily perform the tasks (hardware, inventory logic), the resume strictly lacks the specific entry-level L1 administrative tools and the mandatory certifications requested in the job description.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate's 'founder' mindset and proven ability to self-teach complex systems (self-hosted LLMs, algorithmic trading) align perfectly with the 'innovative' and 'ambiguous' nature of the role. However, a significant hard skill gap exists in the required secondary backend language (Golang/Java/Node.js) and specific enterprise AI tooling (Vector DBs), though his Python and Systems background provides a strong foundation to bridge this.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical seniority and eligibility mismatch. The candidate is a Senior Solutions Architect with 10+ years of experience, whereas the role is a student internship (Estágio). The candidate graduated in 2014, failing the strict 'Currently Enrolled' (Cursando ensino superior) requirement needed for internship contracts. While he possesses the bilingual and analytical skills, he is vastly overqualified.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is a strong Backend/Systems Architect with solid Python and Infrastructure skills (Docker, Terraform, CI/CD), matching the backend and DevOps requirements well. However, this is a Fullstack role, and the resume completely lacks Frontend development experience (React), which is a major domain gap. While his 'Fast Learner' profile suggests he could master the AWS specificities (Lambda, EKS) quickly, the absence of web frameworks (Django/FastAPI) and UI skills significantly lowers the immediate match.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a strong Systems Engineer with proven automation (Python, Bash) and Infrastructure-as-Code (Terraform) capabilities. His 'Fast Learner' trait is evident in his self-hosted AI work. However, for a 'Senior' DevOps role, the explicit listing of 'AWS Basics' is a significant weakness against the requirement for solid cloud experience (GCP/AWS). He also lacks explicit mentions of standard enterprise orchestration (Kubernetes), configuration management, and observability tools required for this specific seniority level.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is a highly capable Systems Architect and Python developer with strong automation skills. However, this role strictly requires a Senior Test Engineer with specific domain expertise in OTT/Connected TV and 'Strong Java' coding for automation. The candidate's background is in Supply Chain, Finance, and AI infrastructure using Python. While the 'Fast Learner' trait suggests they could learn Java, the specific requirement for 3+ years of OTT/CTV embedded application testing is a major domain gap that cannot be easily bridged by adjacent skills.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical domain mismatch. The candidate is a Systems Architect and Engineer, whereas the role is strictly for a Legal Professional requiring a Law Degree. While the candidate's Finance and AI background is impressive, they lack the non-negotiable educational and legal domain requirements (Civil/Banking Law) needed to perform the core functions of the job.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong domain fit with the 'Diferencial' requirements (Financial Markets, Trading, Risk Management) and excellent Python/Automation skills. However, the candidate's technical background is heavily focused on Open Source/Linux/Python ecosystems, while the role strictly requires the Microsoft stack (MS SQL, Visual Studio, SSRS). While the candidate is a proven fast learner and understands data deeply (Pandas/NumPy), the specific Microsoft tooling is a hard skill gap.

[ANALYSIS_REPORT] [Model: gemini-cli] Strong match on core Python proficiency, financial domain expertise (algorithmic trading), and infrastructure skills (Docker/AWS). The candidate demonstrates high 'figure it out' potential and math/logic capability essential for the role. However, the profile leans heavily toward Backend Automation/Data Engineering rather than Full-Stack Web Development, lacking explicit experience with the required web frameworks (Django) and frontend technologies.

[ANALYSIS_REPORT] [Model: gemini-cli] Critical domain mismatch. The candidate is a senior Systems Architect and Engineer, whereas the role is for a Music Education Program Coordinator. While the candidate has transferable hard skills in Project Management, Data Analysis, and Fluent English, they completely lack the mandatory domain expertise in Music, the specific academic background required, and experience in Event/Social Media management.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a strong modern automation engineer (Python, Docker, Terraform) with excellent 'figure it out' potential. However, the role requires significant legacy and enterprise on-prem infrastructure experience (Cisco UCS, SAN/NAS, VMware, Perl, gmake) which differs substantially from the candidate's modern, cloud-native, and AI-focused background. While capable of learning, the gap in specific enterprise hardware and legacy build tools is notable.

[ANALYSIS_REPORT] [Model: gemini-cli] The candidate is a high-potential hire with strong domain relevance (FinTech/Crypto) and proven architectural capability (Founder/Self-hosted infra). However, the role is a 'Senior' position specifically demanding 'Strong proficiency' in the Java/Spring ecosystem, whereas the candidate is heavily specialized in Python. While the candidate's 'Fast Learner' trait and backend fundamentals are strong, the immediate language and specific cloud-native SaaS experience gap prevents a higher match for a Senior-level individual contributor role.

[ANALYSIS_REPORT] [Model: gemini-cli] Candidate is a strong Python/Infrastructure Architect, but the role demands a Senior Java/Kotlin Developer with Salesforce specific expertise. While the candidate aligns with the secondary DevOps (Terraform, CI/CD) and Python automation requirements, they lack the strictly required primary languages (Kotlin, Java) and enterprise frameworks (Spring Boot, Salesforce OmniStudio) necessary for the core duties.