Fabio Nonato
de Paula
Simple systems that reason and act
Principal Applied Scientist @ AWS
Simple systems that reason and act
Principal Applied Scientist @ AWS
I build AI systems that reason, remember, and act — with a bias toward simplicity and local-first design. At AWS, I work on the Agentic AI org. Outside of work, I build custom agents, MCP servers, developer tools, and the occasional game — all guided by the principle that if you can't audit it, you shouldn't ship it.
Custom minimal AI agent with persistent memory, MCP tools, and Discord — zero frameworks
Local FAISS vector store as an MCP server — drop-in semantic search for Claude / Copilot / Agents
Terminal UI for browsing, searching, and resuming Claude Code sessions
A quiet place to read Markdown — native macOS e-reader with highlighting, annotations, and GFM support
Live transcription with Whisper — microphone and system audio capture
Grimdark twin-stick shooter with procedural arenas and adaptive AI director
Building AI agents that reason, plan, and act autonomously — from custom frameworks to production systems at AWS.
MCP servers, FAISS vector stores, graph retrieval. Local-first tooling for semantic search and agent memory.
eBPF-based guardrails, threat intelligence, and securing AI systems — from kernel-level monitoring to policy enforcement.
TUIs, hardware drivers, and productivity tooling for AI-augmented workflows. Building the tools that build the tools.