I'm an AI Developer with a foundation in Infraestructure. I got here the most practical way possible: I had to put AI systems into production and found that the hard problem is almost never the model, it is the infrastructure holding it up.
At Youlex (legaltech), I work on the production infrastructure: AWS EC2/ECR with GitHub Actions CI/CD, Docker, Cloudflare edge deployment, an async ARQ/Redis queue, SSE streaming, and uptime and latency monitoring. I also maintain the 8-stage data pipeline processing 7.2 GB of TCU open data with automated per-stage quality gates, the discipline that sustained the product's hybrid-RAG search engine at Recall@5 of 94%.
As an independent consultant, I provisioned and operated infrastructure on Linux VPS (DigitalOcean, Contabo, Hetzner) with Docker, Postgres/Supabase, and Redis, running AI agents 24/7 with human handoff and observability, cutting response time from 6-12h to 1-3min. At Outlier, I work freelance on LLM evaluation, authoring weighted rubrics and scoring model trajectories.
I also lead Ares, an extension project at UFC, with a team of ~14 people across 3 squads. Currently preparing for the AWS Cloud Practitioner and the CKA (Certified Kubernetes Administrator).
Feel free to explore my repositories and follow my progress.



