https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.jsonThiago AntasPrincipal AI Solutions Architect | Agentic AI, RAG & LLMOpshttps://www.tfantas.io/profile.jpgthiago@thiago.pthttps://www.tfantas.io/

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.

LisbonPTLinkedIntfantashttps://www.linkedin.com/in/tfantasGitHubtfantashttps://github.com/tfantasHackerRanktfantashttps://www.hackerrank.com/profile/tfantasORCID0009-0000-9408-5663https://orcid.org/0009-0000-9408-5663CapgeminiSenior AI & Software Architect / Tech Lead

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

Lisbon, Portugal2018Above-NetSolutions Architect

Solution architecture for Java SE and AWS-based enterprise systems (EC2, ELB, RDS)

Rio de Janeiro, Brazil20182018DruidJava Architect / Solutions Architect

Designed Netflix OSS microservices architecture (Eureka, Hystrix, Config Server, API Gateway) on AWS, with Docker and Jenkins CI/CD

Rio de Janeiro, Brazil20172018Urban Mobility StartupCo-Founder & CTO

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)

Rio de Janeiro, Brazil20162016Noorden GroupJava Architect & Agile/DevOps Coach

Led SCRUM adoption and CI/CD standardization (Maven, Jenkins) on-site at SulAmérica Seguros, with TDD coaching using JUnit, XMLUnit, and Selenium

Rio de Janeiro, Brazil20152017PetrobrasSenior Software Engineer

Delivered a corporate land-control system at TIC-ENG (Engineering IT & Telecommunications)

Rio de Janeiro, Brazil20122015Gazeus GamesSenior Software Engineer

Senior Java engineering for online gaming platforms

20112012ProBid Consultoria e ServiçosSenior Developer Analyst

Senior Java development and systems analysis across consulting engagements

20102011Politec Global IT ServicesSenior Software Engineer

Senior Java engineering on large-scale IT outsourcing programs

20082010Tools Software / TOTVS Financial ServicesSystems Analyst

Systems analysis and Java / PL-SQL development for financial services products

20042008Purdue UniversityAI and Machine LearningProfessional Certificate (PCP AIML, Cohort 82)2025-072026-02UFRJ - Federal University of Rio de JaneiroSoftware EngineeringMBA20132014Agentic AI & Multi-Agent SystemsLangGraphMCPA2Aagent orchestrationtool callingguardrailsevaluationand observabilityProduction RAG & LLMOps (3+ years in production)Vector and hybrid retrievalcontext engineeringevaluation harnessesprompt engineeringcost/latency optimizationand AI FinOpsCloud AI PlatformsAWS BedrockAzure AI Foundry & Azure OpenAIGCP Vertex AIAWS EKSAKSKubernetesTerraformand multi-cloud platform engineeringMicrosoft Azure AI StackAzure AI FoundryAzure AI Search (vectorsemanticand hybrid retrieval with grounding)Azure OpenAIAzure FunctionsCosmos DBEntra IDBicepand Azure DevOps CI/CD for enterprise-gradecompliance-aware AI deliveryPre-Sales & End-to-End DeliverySolution discovery and architecturePOCs and pilots taken through to productiondecomposition into ingestionretrievalorchestrationand guardrail layersand launch readiness measured on latencyanswer qualityand costExecutive AdvisoryAI roadmapsEU AI Act alignmentbuild-vs-buy decisionsplatform operating modelsand enterprise governanceApple Platform & Native DevelopmentSwift 6.2SwiftUILiquid GlassAppKitOn-Device LLM/STTReal-Time Transcription & Translation (iOS 26 / macOS)Architecture & DevelopmentEvent-Driven ArchitectureMicroservicesCQRSDDDAPI Design (RESTGraphQLgRPC)AI-Native Daily WorkflowClaude 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 GitHubVerceland Cloudflare; every production change gated by agent-driven triple validation (API + checksum + visual)Languages & FrameworksPython (15+ years)RustTypeScriptJavaGoLangChainFastAPISpring BootNode.jsReactPortugueseNativeEnglishFluent — C1, daily EU/US client-facing deliverySpanishBasicAutonomous Code & Docs Agent Fleet (personal production infra, 2024–present)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 operatorAzure Public-Sector Conversational Assistant (Portugal)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 deploymentTelecom Enterprise Conversational Agent (Azure AI Foundry + Azure AI Search)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 launchSecond Brain — iOS 26 Native AppReal-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 architectureBrain Core EngineHigh-performance retrieval core powering Second Brain — Voyage 3.5 embeddings with a Qdrant vector database and HNSW indexing, delivering sub-200ms semantic searchmacOS Native Development BlueprintHardware-aware, AI/LLM-optimized blueprint for native macOS development, tuned for Intel MacBook Pro 16,4 (Late 2019 — Core i9, Radeon Pro 5600M)Enterprise RAG PlatformProduction-grade retrieval system using LangChain, Pinecone, and OpenAI embeddings for a 100K+ document corpus with semantic searchAI Agent Orchestration FrameworkCustom LangGraph framework for autonomous multi-step task execution with human-in-the-loop governanceCloud Migration & Platform ModernizationLed Kubernetes-based migration and modernization initiatives that reduced infrastructure costs by 45%1,300+ Private GitHub RepositoriesContinuous innovation portfolio across AI/ML, Agentic AI, DevOps, and enterprise architecturehttps://www.tfantas.io/resume.jsongenerated by scripts/sync_resume.py from docs/2026/index.html