// Hi, I'm |
Full-Stack & AI Engineer with 15+ years of experience. Specialized in GenAI, LLMs, RAG, DevOps, MLOps and Cloud-Native architectures. Currently AI Specialist / AI Executive at Vivo (Telefonica Brazil).
Open-source CLI (agf, v0.20) that turns requests into persistent execution graphs and runs an autonomous SHAPE → BUILD → SHIP cycle with non-negotiable guardrails: WIP=1, TDD, Definition of Done, Provenance. Skill precision via ACO (Ant Colony Optimization). Local-first, no Docker.
Free, open-source temporary email platform for developers. Disposable emails, REST API, webhooks and automatic encryption.
It is not a bubble. AI's individual gain is real and measured, but it leaks on the way to the company's bottom line. With data from WRITER, MIT, Gartner, Goldman, Forrester and Google DORA, I show where the money disappears and what separates the 29% who capture value.
A real reward hacking case in mcp-graph: how feature-depth became an optimization target and why static analysis needs behavioral validation in agentic loops.
AISE is the emerging discipline of 2026. I prove with the repo and the DORA Report 2025 that mcp-graph v12 is the runtime layer where Specification-Driven Development meets Context-Driven Engineering.