AI Engineer at Ambev | Brazilian–Luxembourgish dual citizen (EU citizen) | UK EU Settlement Scheme status valid through 2030

I build and deploy reliable, production-ready AI agents using orchestration, tool use, MCP integrations, memory, state, and secure execution workflows. My focus is turning AI into measurable business value through ROI, AI-driven savings, observability, evaluation, safety, latency, cost efficiency, and maintainability.

• ⚖️ Combinado Não Sai Caro - Plain-language contracts with CrewAI Flow; 3rd-place hackathon project.
• 🧵 Texfy.AI - AI textile production planning with Agno and LangChain; 2nd-place hackathon project.
• 🤖 Spec Crew - Spec-driven CrewAI toolkit for Claude Code and OpenCode.
• 🧰 Agent Skills - Reusable skills for AI coding agents.
• 🧉 Mate Loop - Gated agent-loop workflow for OpenCode.
• 📄 Docling Converter - Batch document-to-Markdown conversion with Docling.
• 💬 WhatsApp AI - Personal AI assistant for WhatsApp. Work in progress.

• 📊 Power BI Financial Control Dashboard - Financial control and reporting in Power BI.
• 🚢 Kaggle Titanic Competition - Survival prediction model for Kaggle's Titanic challenge.
• 🗄️ Oracle Tuning Queries - Practical Oracle performance-tuning scripts.
• 🚗 Code-first ASP.NET MVC - Parking management with ASP.NET MVC and Entity Framework.
• 🅿️ ParkSystem App - Layered C# parking system using ADO.NET.

• Agent Systems Engineering: Designing execution loops, workflow orchestration, state management, secure permission boundaries, sandboxed environments, and human-in-the-loop controls.

• Context Engineering: Building prompts, retrieval pipelines, memory systems, and model interfaces that provide agents with the right context at the right time.

• AI Agents, MCP, and Tooling: Developing multi-agent workflows, MCP servers, connectors, APIs, tool-routing strategies, and production integrations across agent ecosystems.

• Evaluation and Reliability: Applying evaluations, ablation testing, regression checks, tracing, observability, and failure analysis to improve accuracy, safety, latency, and cost.

• AI Productization: Turning complex business workflows into reusable agent capabilities, production services, CLIs, frameworks, documentation, and measurable automation outcomes.