THIAGO ANTAS
Principal AI Solutions Architect | Agentic AI (LangGraph, MCP) · Production RAG · LLMOps | AWS Bedrock & Multi-Cloud
Lisbon, Portugal · thiago@thiago.pt · Remote B2B worldwide · EU/US time-zone coverage · B2B via Thiago Antas Unip LDA
linkedin.com/in/tfantas · github.com/tfantas · hackerrank.com/profile/tfantas · www.tfantas.io · ORCID 0009-0000-9408-5663
Professional 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 on multi-cloud Kubernetes. 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.
Core Competencies
- Agentic AI & Multi-Agent Systems: LangGraph, MCP, A2A, agent orchestration, tool calling, guardrails, evaluation, and observability
- Production RAG & LLMOps: Vector and hybrid retrieval, context engineering, evaluation harnesses, prompt engineering, cost/latency optimization, and AI FinOps
- Cloud AI Platforms: AWS Bedrock, GCP Vertex AI, Azure OpenAI, AWS EKS, Kubernetes, Terraform, and multi-cloud platform engineering
- Executive Advisory: AI roadmaps, EU AI Act alignment, build-vs-buy decisions, platform operating models, and enterprise governance
- Apple Platform & Native Development: Swift 6.2, SwiftUI, Liquid Glass, AppKit, On-Device LLM/STT, Real-Time Transcription & Translation (iOS 26 / macOS)
- Architecture & Development: Event-Driven Architecture, Microservices, CQRS, DDD, API Design (REST, GraphQL, gRPC)
- Languages & Frameworks: Python, Rust, TypeScript, Java, Go | LangChain, FastAPI, Spring Boot, Node.js, React
Professional Experience
Capgemini — Lisbon, Portugal
Senior AI & Software Architect / Tech Lead | 2018 – Present (7+ years)
- 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
- Mentored engineering teams in cloud architecture, platform engineering, DevOps, and production AI delivery
Urban Mobility Startup — Rio de Janeiro, Brazil
Co-Founder & CTO | 2016 (1 year)
- 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)
Earlier Career | 2004 – 2017 (13 years)
- Progressive technical leadership at Above-Net, Druid, Noorden Group, Petrobras, Gazeus Games, ProBid, Politec, and TOTVS, including insurance delivery for SulAmérica in the Noorden client context
- Architected high-availability trading systems, led SOA and microservices implementations, and managed offshore development teams across Energy, Insurance, Gaming, and Financial Services
Key Projects & Achievements
- Second Brain — iOS 26 Native App: 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
- Brain Core Engine: High-performance retrieval core powering Second Brain — Voyage 3.5 embeddings with a Qdrant vector database and HNSW indexing, delivering sub-200ms semantic search
- macOS Native Development Blueprint: Hardware-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 Platform: Production-grade retrieval system using LangChain, Pinecone, and OpenAI embeddings for a 100K+ document corpus with semantic search
- AI Agent Orchestration Framework: Custom LangGraph framework for autonomous multi-step task execution with human-in-the-loop governance
- Cloud Migration & Platform Modernization: Led Kubernetes-based migration and modernization initiatives that reduced infrastructure costs by 45%
- 1,300+ Private GitHub Repositories: Continuous innovation portfolio across AI/ML, Agentic AI, DevOps, and enterprise architecture
Education & Certifications
- Professional Certificate in AI and Machine Learning — Purdue University | Jul 2025 – Feb 2026
Purdue PCP AIML Cohort 82 — Applied Data Science, ML, Deep Learning, GenAI, RAG, Prompt Engineering
- MBA in Software Engineering — UFRJ, Federal University of Rio de Janeiro | 2013 – 2014
- Bachelor’s in Information Systems | 2007 – 2011 · Technical Degree in Computer Science | 2003 – 2005
- Core Expertise Areas: AWS Solutions Architecture | Kubernetes Administration | Agile (Scrum Master, Scrum Developer) | DevOps & CI/CD
- AI/ML (Purdue 2025–2026): Deep Learning | ML with Python | TensorFlow | GANs | Supervised/Unsupervised ML | Prompt Engineering | RAG | Databricks | ChatGPT Advanced
Technical Stack
- AI/LLM: GPT-4, Claude, Llama, Mistral, DeepSeek | LangChain, LangGraph, CrewAI, AutoGen | RAG, Vector DBs (Pinecone, Weaviate, ChromaDB, Qdrant) | Voyage embeddings, HNSW | LoRA/QLoRA Fine-tuning | LangSmith, W&B
- Cloud: AWS (Bedrock, SageMaker, EKS, Lambda) | GCP Vertex AI | Azure OpenAI | Cloudflare Workers | Vercel, Supabase
- Infrastructure: Kubernetes, Docker, Terraform, Helm, ArgoCD | GitHub Actions, GitLab CI/CD | Kafka, RabbitMQ, Redis
- Apple Platforms: Swift 6.2, SwiftUI, Liquid Glass, AppKit | On-Device LLM/STT, Real-Time Transcription & Translation (iOS 26 / macOS)
- Languages: Python, Rust, TypeScript, Java, Go, SQL | FastAPI, Spring Boot, Node.js, React, Next.js
Languages
Portuguese (Native) · English (Fluent) · Spanish (Basic)
Online Profiles & Competitive Programming
- GitHub — github.com/tfantas
1,300+ private repositories (AI/ML, Agentic AI, DevOps, enterprise architecture) · GitHub Developer Program Member · Achievements: Pull Shark ×3, Pair Extraordinaire, Quickdraw, YOLO
- HackerRank — hackerrank.com/profile/tfantas
Badges: Problem Solving 6★ · Java 5★ · Python 5★
14 verified certifications — Problem Solving (Basic, Intermediate); SQL (Basic, Intermediate, Advanced); Python (Basic); Java (Basic); JavaScript (Basic, Intermediate); React (Basic); Node (Basic); REST API (Intermediate); CSS (Basic); Software Engineer (Role)
- Professional Certifications (2025): Purdue PCP AIML (Cohort 82) · 16× Simplilearn SkillUp — Generative AI, Deep Learning, ML with Python/R, TensorFlow, GANs, Prompt Engineering, RAG, DeepSeek, Mistral AI, ChatGPT Advanced, Data Analytics · 3× Databricks — SQL Analytics & BI, Generative AI, for Business Leaders
- ORCID — 0009-0000-9408-5663
Last updated: 31 July 2026