I built AILIENANT, an open-source VS Code agent with a FastAPI backend that coordinates specialized agents through LangGraph. Its code-indexing pipeline uses Tree-sitter, LanceDB embeddings, and PageRank, with SQLite for audit records and checkpoints.
For AILIENANT, I wrote the specifications and acceptance criteria, then reviewed every AI-proposed change as the human in the loop. The project includes more than 250 pytest test files and GitHub Actions CI gates; an automated test enforces a reduction of 70% or more in the tool-definition payload sent to the model.
At Tecnoguía Empresarial, I advised IT, cybersecurity, and infrastructure managers and directors on technology solutions for renewal projects. I analyzed infrastructure and cybersecurity solutions and translated business requirements into technology specifications.
I’m completing a Bachelor’s in Systems Engineering at Universidad Ukuepa, expected mid-2027. I’m particularly interested in AI data systems and automation that keeps data accurate, and I also developed Guala Studio, an early-stage React and TypeScript component kit.
