I build data, cloud, and AI systems designed to still make sense once the hype fades.
I work where data platforms, cloud infrastructure, and AI meet — mostly on the part that has to keep working long after the launch.
Most of my time goes to data engineering. I also make music, and occasionally drive a sim rig.
I'm also studying Philosophy at UNED, which is where most of my writing comes from: how these systems shape the people who end up using them.
- 03
AI in production
Taking AI from a promising demo to something people rely on every day, with evaluation, guardrails, and a clear owner.
- 02
Cloud architecture
Infrastructure on Google Cloud that is boring in the best way: observable, cost-aware, and easy to change.
- 01
Data platforms
Pipelines, models, and governance that teams can trust today and still understand a year from now.
- More about what I do →
- The hidden politics of convenienceConvenience often arrives as a neutral improvement, but it quietly changes who has agency and who becomes optimized.
- When speed becomes cultureFaster output does not only change productivity. It changes expectations, pressure, and the meaning of good work.
- Trust after infinite contentWhen content becomes cheap, trust becomes the scarce material.
- The right to remain human-scaleSome parts of life should resist acceleration because their value depends on time, ambiguity, and presence.