I build systems that find the answer in noisy data.
Some answers are buried because no one's looked hard enough.
I like making sense of things that are hard to make sense of, when getting it right actually counts.
I build the systems that keep data reliable at scale: distributed architectures, high-throughput pipelines, telemetry ingestion, fault tolerance, observability, and the ML that runs in production on top of them. Before this, predictive maintenance and robotics. Same instinct, different problem each time.
That mix of distributed backend, real-time telemetry, ML in production and reliability engineering is the backbone of any system where data has to move fast and stay reliable: space, energy, mobility, industrial systems. That's the kind of problem I like to work on.
I take on selective consulting when the problem is interesting and the fit is right. If you're building something where data has to move fast and stay reliable, get in touch.
- Distributed systems & backend
- Architectures built to move data fast and stay reliable, with queues, fault tolerance and observability.
- Data infrastructure & telemetry
- High-throughput pipelines for ingestion, transformation and serving, designed as one system.
- ML & AI in production
- From model development to deployment and monitoring. Anomaly detection, time-series, and the MLOps around it.
- Technical decision-making
- The architectural trade-offs that are cheap to make early and expensive to undo.
I also write about tech & culture in Spanish at Adiós Humanos ↗.
Outside work I'm a space enthusiast and member of the Valencia Astronomical Association. I run Fonoteca Sincrotrón, a Hardcore Techno label (check it if you like weird and noisy music), rooted in years of DJing. I toured in a screamo band and promoted shows, and these days I make music at the intersection of emo and breakcore.