{
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  "basics": {
    "name": "Thiago Antas",
    "label": "Principal AI Solutions Architect | Agentic AI, RAG & LLMOps",
    "image": "https://www.tfantas.io/profile.jpg",
    "email": "thiago@thiago.pt",
    "url": "https://www.tfantas.io/",
    "summary": "I design and ship agentic AI systems that run in production — not demos. Principal-level Solutions Architect with 21+ years across insurance, financial services, energy, and public sector, including Fortune 500 client delivery at Capgemini. Over the last 3 years, my focus has been end-to-end GenAI delivery: multi-agent systems with LangGraph, MCP, and A2A; production RAG; LLMOps and evaluation harnesses; and AWS Bedrock and Azure AI Foundry on multi-cloud Kubernetes (EKS, AKS). I have delivered cloud-native platforms processing 2M+ events/day and cloud migrations that reduced infrastructure costs by 45%. I also co-founded a startup that scaled to 50,000+ active users. Available for remote B2B consulting and Staff/Principal AI Platform roles worldwide, with EU/US time-zone coverage. On the Microsoft stack specifically, I have delivered production conversational AI on Azure AI Foundry with Azure AI Search as the retrieval and grounding layer — including a Portuguese public-sector assistant and a telecom enterprise agent — industrialized through Azure DevOps CI/CD and signed off on latency, answer quality, and cost before launch. I work end to end across pre-sales, POCs, pilots, and production delivery, translating business requirements into Azure-native solution architectures.",
    "location": {
      "city": "Lisbon",
      "countryCode": "PT"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "tfantas",
        "url": "https://www.linkedin.com/in/tfantas"
      },
      {
        "network": "GitHub",
        "username": "tfantas",
        "url": "https://github.com/tfantas"
      },
      {
        "network": "HackerRank",
        "username": "tfantas",
        "url": "https://www.hackerrank.com/profile/tfantas"
      },
      {
        "network": "ORCID",
        "username": "0009-0000-9408-5663",
        "url": "https://orcid.org/0009-0000-9408-5663"
      }
    ]
  },
  "work": [
    {
      "name": "Capgemini",
      "position": "Senior AI & Software Architect / Tech Lead",
      "summary": "Designed multi-agent architectures with LangGraph, MCP, and A2A, including guardrails, evaluation, and observability for enterprise production environments Delivered production RAG pipelines with vector and hybrid retrieval, context engineering, and cost/latency optimization on AWS Bedrock and multi-cloud Kubernetes Implemented LLMOps foundations and evaluation harnesses to support safer, measurable GenAI delivery Built cloud-native, event-driven platforms processing 2M+ events/day Led cloud migration and platform modernization initiatives that reduced infrastructure costs by 45% Advised senior stakeholders on AI roadmaps, EU AI Act alignment, build-vs-buy decisions, and enterprise governance Applied deep enterprise architecture, distributed systems, Java/Spring, and Python experience across regulated public-sector, insurance, financial-services, and energy programs Led a technical team of 16 engineers across enterprise delivery programs Mentored engineering teams in cloud architecture, platform engineering, DevOps, and production AI delivery Designed and delivered a Microsoft-based conversational assistant for a Portuguese public-sector client on Azure AI Foundry with Azure AI Search, focused on secure enterprise retrieval, controlled access, and compliance Built a telecom enterprise conversational agent on Azure AI Foundry with Azure AI Search, combining retrieval-augmented generation, agent orchestration, and guardrails so the agent returns grounded, enterprise-safe responses from only the most relevant sources Mapped business requirements to Azure-native solution architectures and industrialized delivery through Azure DevOps pipelines covering CI/CD, automated testing, and deployment Owned engagements end to end across pre-sales, POCs, pilots, and production delivery, validating RAG and agent flows and gating launch on latency, answer quality, and cost",
      "location": "Lisbon, Portugal",
      "startDate": "2018"
    },
    {
      "name": "Above-Net",
      "position": "Solutions Architect",
      "summary": "Solution architecture for Java SE and AWS-based enterprise systems (EC2, ELB, RDS)",
      "location": "Rio de Janeiro, Brazil",
      "startDate": "2018",
      "endDate": "2018"
    },
    {
      "name": "Druid",
      "position": "Java Architect / Solutions Architect",
      "summary": "Designed Netflix OSS microservices architecture (Eureka, Hystrix, Config Server, API Gateway) on AWS, with Docker and Jenkins CI/CD",
      "location": "Rio de Janeiro, Brazil",
      "startDate": "2017",
      "endDate": "2018"
    },
    {
      "name": "Urban Mobility Startup",
      "position": "Co-Founder & CTO",
      "summary": "Scaled platform from MVP to 50,000+ active users within 18 months, securing R$100K seed funding Built real-time geolocation system with ML-powered route optimization, reducing delivery times by 30% Led technical team of 8 engineers; designed full-stack architecture (React Native, Node.js, PostgreSQL, Redis)",
      "location": "Rio de Janeiro, Brazil",
      "startDate": "2016",
      "endDate": "2016"
    },
    {
      "name": "Noorden Group",
      "position": "Java Architect & Agile/DevOps Coach",
      "summary": "Led SCRUM adoption and CI/CD standardization (Maven, Jenkins) on-site at SulAmérica Seguros, with TDD coaching using JUnit, XMLUnit, and Selenium",
      "location": "Rio de Janeiro, Brazil",
      "startDate": "2015",
      "endDate": "2017"
    },
    {
      "name": "Petrobras",
      "position": "Senior Software Engineer",
      "summary": "Delivered a corporate land-control system at TIC-ENG (Engineering IT & Telecommunications)",
      "location": "Rio de Janeiro, Brazil",
      "startDate": "2012",
      "endDate": "2015"
    },
    {
      "name": "Gazeus Games",
      "position": "Senior Software Engineer",
      "summary": "Senior Java engineering for online gaming platforms",
      "startDate": "2011",
      "endDate": "2012"
    },
    {
      "name": "ProBid Consultoria e Serviços",
      "position": "Senior Developer Analyst",
      "summary": "Senior Java development and systems analysis across consulting engagements",
      "startDate": "2010",
      "endDate": "2011"
    },
    {
      "name": "Politec Global IT Services",
      "position": "Senior Software Engineer",
      "summary": "Senior Java engineering on large-scale IT outsourcing programs",
      "startDate": "2008",
      "endDate": "2010"
    },
    {
      "name": "Tools Software / TOTVS Financial Services",
      "position": "Systems Analyst",
      "summary": "Systems analysis and Java / PL-SQL development for financial services products",
      "startDate": "2004",
      "endDate": "2008"
    }
  ],
  "education": [
    {
      "institution": "Purdue University",
      "area": "AI and Machine Learning",
      "studyType": "Professional Certificate (PCP AIML, Cohort 82)",
      "startDate": "2025-07",
      "endDate": "2026-02"
    },
    {
      "institution": "UFRJ - Federal University of Rio de Janeiro",
      "area": "Software Engineering",
      "studyType": "MBA",
      "startDate": "2013",
      "endDate": "2014"
    }
  ],
  "skills": [
    {
      "name": "Agentic AI & Multi-Agent Systems",
      "keywords": [
        "LangGraph",
        "MCP",
        "A2A",
        "agent orchestration",
        "tool calling",
        "guardrails",
        "evaluation",
        "and observability"
      ]
    },
    {
      "name": "Production RAG & LLMOps (3+ years in production)",
      "keywords": [
        "Vector and hybrid retrieval",
        "context engineering",
        "evaluation harnesses",
        "prompt engineering",
        "cost/latency optimization",
        "and AI FinOps"
      ]
    },
    {
      "name": "Cloud AI Platforms",
      "keywords": [
        "AWS Bedrock",
        "Azure AI Foundry & Azure OpenAI",
        "GCP Vertex AI",
        "AWS EKS",
        "AKS",
        "Kubernetes",
        "Terraform",
        "and multi-cloud platform engineering"
      ]
    },
    {
      "name": "Microsoft Azure AI Stack",
      "keywords": [
        "Azure AI Foundry",
        "Azure AI Search (vector",
        "semantic",
        "and hybrid retrieval with grounding)",
        "Azure OpenAI",
        "Azure Functions",
        "Cosmos DB",
        "Entra ID",
        "Bicep",
        "and Azure DevOps CI/CD for enterprise-grade",
        "compliance-aware AI delivery"
      ]
    },
    {
      "name": "Pre-Sales & End-to-End Delivery",
      "keywords": [
        "Solution discovery and architecture",
        "POCs and pilots taken through to production",
        "decomposition into ingestion",
        "retrieval",
        "orchestration",
        "and guardrail layers",
        "and launch readiness measured on latency",
        "answer quality",
        "and cost"
      ]
    },
    {
      "name": "Executive Advisory",
      "keywords": [
        "AI roadmaps",
        "EU AI Act alignment",
        "build-vs-buy decisions",
        "platform operating models",
        "and enterprise governance"
      ]
    },
    {
      "name": "Apple Platform & Native Development",
      "keywords": [
        "Swift 6.2",
        "SwiftUI",
        "Liquid Glass",
        "AppKit",
        "On-Device LLM/STT",
        "Real-Time Transcription & Translation (iOS 26 / macOS)"
      ]
    },
    {
      "name": "Architecture & Development",
      "keywords": [
        "Event-Driven Architecture",
        "Microservices",
        "CQRS",
        "DDD",
        "API Design (REST",
        "GraphQL",
        "gRPC)"
      ]
    },
    {
      "name": "AI-Native Daily Workflow",
      "keywords": [
        "Claude Code / Claude Cowork as primary engineering environment; custom MCP servers built and operated (docs-mirror agent exposed via MCP stdio + A2A HTTP); multi-agent orchestration with model-family separation (Opus/Sonnet/Haiku critics); Composio tool routing across GitHub",
        "Vercel",
        "and Cloudflare; every production change gated by agent-driven triple validation (API + checksum + visual)"
      ]
    },
    {
      "name": "Languages & Frameworks",
      "keywords": [
        "Python (15+ years)",
        "Rust",
        "TypeScript",
        "Java",
        "Go",
        "LangChain",
        "FastAPI",
        "Spring Boot",
        "Node.js",
        "React"
      ]
    }
  ],
  "languages": [
    {
      "language": "Portuguese",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "Fluent — C1, daily EU/US client-facing delivery"
    },
    {
      "language": "Spanish",
      "fluency": "Basic"
    }
  ],
  "projects": [
    {
      "name": "Autonomous Code & Docs Agent Fleet (personal production infra, 2024–present)",
      "description": "Designed, built, and operate a fleet of autonomous agents maintaining a 1,300+ repo portfolio: a dual-agent documentation system (evaluator + executor) that audits repos and autonomously writes and refactors documentation, and a machine-enforced adversarial review coordinator — architect/critic/verifier agents on distinct LLM families with a hash-chained audit ledger, where deploy hooks fire only on a cryptographically verified approved state. In its latest production run, the critic layer caught 7 defects in a deploy plan before it reached production. Sole architect and operator"
    },
    {
      "name": "Azure Public-Sector Conversational Assistant (Portugal)",
      "description": "Microsoft-stack enterprise assistant built on Azure AI Foundry with Azure AI Search for retrieval and grounding — secure knowledge access with controlled permissions, compliance alignment, and a hardened cloud architecture for scalable deployment"
    },
    {
      "name": "Telecom Enterprise Conversational Agent (Azure AI Foundry + Azure AI Search)",
      "description": "Production RAG agent with orchestration and guardrails that retrieves only the most relevant enterprise sources, delivered through Azure DevOps CI/CD and evaluated on latency, answer quality, and cost before launch"
    },
    {
      "name": "Second Brain — iOS 26 Native App",
      "description": "Real-time cognitive-augmentation app for Apple platforms — Swift 6.2, SwiftUI, Liquid Glass — featuring on-device speech-to-text, LLM reasoning, and live translation through a multi-agent architecture"
    },
    {
      "name": "Brain Core Engine",
      "description": "High-performance retrieval core powering Second Brain — Voyage 3.5 embeddings with a Qdrant vector database and HNSW indexing, delivering sub-200ms semantic search"
    },
    {
      "name": "macOS Native Development Blueprint",
      "description": "Hardware-aware, AI/LLM-optimized blueprint for native macOS development, tuned for Intel MacBook Pro 16,4 (Late 2019 — Core i9, Radeon Pro 5600M)"
    },
    {
      "name": "Enterprise RAG Platform",
      "description": "Production-grade retrieval system using LangChain, Pinecone, and OpenAI embeddings for a 100K+ document corpus with semantic search"
    },
    {
      "name": "AI Agent Orchestration Framework",
      "description": "Custom LangGraph framework for autonomous multi-step task execution with human-in-the-loop governance"
    },
    {
      "name": "Cloud Migration & Platform Modernization",
      "description": "Led Kubernetes-based migration and modernization initiatives that reduced infrastructure costs by 45%"
    },
    {
      "name": "1,300+ Private GitHub Repositories",
      "description": "Continuous innovation portfolio across AI/ML, Agentic AI, DevOps, and enterprise architecture"
    }
  ],
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