Data scientist at Ecolab and a graduate student at RIT.
I build end-to-end decision machines: from data pipelines that process scale, to epistemic models which understand, to user interfaces that convey.
Primary model developer on RushReady at Ecolab: explainable anomaly
detection with XGBoost and SHAP, plus brand-configurable recommendations
for quick-service restaurants, all running on a near-real-time Delta
Live Tables platform.
At school
M.S. in Data Science at Rochester Institute of Technology, focused on
probability theory, statistical learning, and Bayesian methods.
Capstone in fall 2026.
At home
Running a two-GPU homelab
that serves Mixture-of-Experts models to coding agents over local
endpoints, and using the same rig to fine-tune small models.
On the shelf
{% for title in var.books.selection[:5] %}
{% set book = var.books.books[title] %}