About me

I'm an AI engineer and backend automation specialist based in Madrid, turning messy, unstructured inputs into APIs, datasets, and decision-ready artifacts.

Right now I focus on authority-driven delivery with my CLI Ethos workflow, AI-enhanced data pipelines that pair ingestion with validation, and lean FastAPI backends with structured logging, retries, and cost-aware LLM usage.

I thrive on deterministic systems with AI where it adds leverage: schema-first design, web data collection at scale, and repeatable analytics built on Postgres, Supabase, DuckDB, and lightweight orchestration.

Expect short feedback loops, rigorous documentation, and cost-aware choices. I prefer starting with a paid pilot to de-risk collaboration before scaling.

What I'm Doing

  • AI-Verified Data Pipelines

    Scrape, normalize, and validate external data sources with AI-assisted quality checks to power trustworthy analytics and operations.

  • Production LLM Systems

    Design RAG workflows, prompt libraries, and evaluation loops that keep AI features accurate, observable, and cost-aware.

  • Reliable Backend Automation

    Ship FastAPI services, background workers, and idempotent jobs with structured logging, retries, and clear SLAs.

  • Lean Ops & Strategy

    Documented runbooks, deterministic workflows, and cost-conscious infrastructure choices that make scaling feel simple.