I'm a Data Scientist at Clever, where I build models that forecast how much energy EVs and homes are going to need. I love finding ways to turn complex systems into LEGO blocks — modular components that are easier to handle, maintain, and scale.
Outside of work I'm a dad, a musician, and someone who loves building apps and electronics projects — for fun, for learning, and to fix things that bother me.
Building forecasting models for energy consumption across EV charging networks and residential homes.
Developed and deployed NLP models for automatic classification of job ads — detecting categories, skills and job titles at scale.
NLP-based analyses and a large web scraping project mapping companies' sustainability profiles.
Projects
An end-to-end MLOps setup for time-series forecasting on Databricks, using the mlforecast library from Nixtla. The goal is a modular pipeline where data ingestion, feature engineering, training, and retraining are independent pieces you can swap and compose. repo
- 💡Bulb
A web app for capturing quick ideas and turning them into concrete next actions before they slip away. Built around the frustration of good ideas that go nowhere because there was no easy place to put them. repo
A practice tool for musicians. Plays intervals, chords, and progressions and asks you to identify them by ear. Tracks what you get wrong so you practice the things that actually need work. repo
A mobile app for saving dishes you come across in YouTube videos, Instagram reels, or blog posts. Paste a link, get back the recipe, and keep a personal list of things you actually want to cook. repo