Real Estate Valuation Engine
5-year hyper-local property valuations & rental yields across U.S. zip codes.
Computer Science & Data Science · Rutgers ’27
Machine Learning & Data Science Engineer
I build systems that make complex data actionable — the layer between rigorous machine learning and elegant software.
Selected Work
From hybrid forecasting engines to on-device semantic search — keep scrolling to move through the work horizontally.
5-year hyper-local property valuations & rental yields across U.S. zip codes.
Privacy-first, on-device natural language search across large local codebases.
Multi-class neurological tumor classification from 2D MRI scans.

A full-stack platform teaching quantitative finance fundamentals.

AI-powered, multi-category recommendation social app.

An event-driven Pomodoro productivity Chrome extension.

About
Anyone can train a model. The real engineering challenge is what happens next — serving it through low-latency APIs, building fault-tolerant data pipelines, and wrapping it in a seamless experience. I bring that product-first mindset to every system I build, from hybrid Prophet/XGBoost forecasting engines to privacy-first semantic search.
Education
B.A. Computer Science & Data Science — Rutgers
Graduating
2027
Based in
New Brunswick, NJ
Seeking
Summer 2027 ML / Data Science Internship
Experience
Rutgers BITS · Business Information Technology Society — New Brunswick, NJ
United Window & Door — Springfield, NJ
United Window & Door — Springfield, NJ
Contact
Currently looking for a Summer 2027 Machine Learning or Data Science internship — tackling massive, messy datasets and AI infrastructure that scales.
patelrudrab8@gmail.com