03 / About
From physics to data systems
I trained as an Industrial Physics Engineer, with a concentration in Data Science — machine learning, data-science principles, and the math and infrastructure around them. Physics still shapes how I work with data: understand the system, identify its constraints, measure, then decide.
I sit between engineering, analytics, and the business question. Pipelines and models are the medium. The point is a decision someone can defend: who to call, what to recommend, what to stop doing.
I care more about grain, incrementality, and whether a number can be reproduced than about collecting tools. Data engineering is how I practice that now. It does not have to be the whole identity.
Outside data: travel, business, cities, science and the systems behind them.
I also help organize Graffito Fest, a hip-hop and rap festival and freestyle tournament in Monterrey. It started in 2025 with Melissa Corona; we've had Eptos and Bizor.

2018
Physics
Tecnológico de Monterrey · Industrial Physics Engineering · Data Science concentration
2023
Data / analytics
Product, outbound and finance teams
2025
M.Sc. Data Engineering
Universidad Complutense de Madrid · Azure (Storage, Catalog, OpenAI, Databricks)
Now
Data systems
Engineering as the main medium
- → Reliability over cleverness
- → Understand the grain
- → Build for decisions, not dashboards
- → Measure before optimizing
- → Systems > tools