Open to AI/ML Engineer & Data Scientist roles · Jersey City, NJ (NYC metro)
Building reliable, auditable data & ML systems.
MS in Data Science (Stevens Institute of Technology, 2026). I build ETL pipelines, time-series forecasting models, and governed cloud data platforms with Python, SQL, and Azure.
“A pipeline that moves data isn't finished until it validates that data; a forecast isn't useful until it's been tested against data it hasn't seen.”
The conviction behind everything I build.
Selected work
Four systems, one thread: data no one has to double-check.
Data Science / Machine Learning
Statistically validated time-series forecasting on BlackRock equity prices and 50 years of macroeconomic data.
1976–2025 · 50 years of data
Cloud Engineering
An Azure platform where data reaches consumers only after role-gated, human-approved validation.
3-role access · 0 hard-coded credentials
Data Engineering
Python/SQL ETL with data-quality checks that catch pipeline issues before they reach reports.
Null · outlier · distribution-shift checks
AI Engineering / Software Engineering
This site — a production Next.js application built spec-first with an AI coding agent working under human review gates.
19 spec docs before code · strict TypeScript
Capabilities
The toolset behind trustworthy data — grouped by how it's used, not by logo.
Next step
I'm currently looking for AI/ML Engineer and Data Scientist roles. If you're hiring — or just want to talk about data systems — email is the fastest way to reach me. I typically respond within a day.