- 🔭 Currently building Vatia — a simulation and optimization tool for solar + battery storage sizing at industrial plants in northern Mexico, tackling grid instability from the local utility.
- 🧠 Into startups and building — I'd rather ship something small and real than plan something big and theoretical.
- 🎓 Heading toward a degree in AI Engineering.
- 📊 I write up my ML projects with an emphasis on honest validation — every reported improvement gets checked against noise before I trust it, and every leaderboard gap gets diagnosed with numbers, not guesses.
- 💬 Ask me about feature engineering gone wrong, leakage-safe validation, or why your CV score doesn't match your leaderboard score.
titanic-ml — 0.79665 on the public leaderboard. Five improvement attempts tried, one confirmed real (leave-one-out group survival rate) after ruling out feature engineering, hyperparameter tuning, and ensembling as noise.
houseprices-ml — Top 8.5% (310/3655) without external data leakage. Diagnosed a CV-to-leaderboard gap down to a single mispriced outlier — then found the diagnostic metric itself had a blind spot and corrected it on the record.
Building things, shipping them, and writing down when I was wrong.