About
I build software that real businesses run on.
Founding Software Engineer at Lee's Noodle, where I solo-built the entire operations stack — a web order management system, an offline-first mobile delivery app used by 15 drivers daily, and an automated QuickBooks sync that saves 90 minutes of manual work every day. The system processes 10,000+ transactions every month with 99.999% uptime.
I built all of this as a student, and finished my CS degree at UC Riverside in 2026. Along the way I did ML research through an NSF fellowship — where I caught a data leakage bug that dropped a model's real accuracy from 95% to 60% — and led a team building a parking prediction app with live ML forecasts. Next up is an M.S. in Computer Science at Georgia Tech, specializing in machine learning, starting Spring 2027.
I learn fast, build faster, and ship things people actually use.
> bensonnlee/contributions
Experience
Apps Software Development Engineer
·Western DigitalJul 2026 — Present
Owning automated testing for an internal web application, building the test infrastructure and writing the test suite that runs on it, and improving the framework as the suite grows.
Full-Stack Developer
·The ReallistMay 2026 — Present
Primary developer behind RealList's e-commerce and operations infrastructure. Sole engineer owning a full-stack inventory management platform (React, TypeScript, PocketBase), working directly with the founders to ship features spanning inventory workflows, lending and repair operations, invoicing, and financial analytics.
Founding Software Engineer
·Lee's NoodleSep 2024 — Present
Founding engineer with complete codebase ownership of end-to-end business operations platform including web-based order management, mobile delivery application with offline capabilities, and automated QuickBooks synchronization, handling 500+ orders across 1,500+ customers daily.
NSF Data Science Fellow
·University of California, RiversideJun 2025 - Aug 2025
Discovered data leakage in ML course enrollment prediction system that inflated accuracy from actual 60% to reported 95%. Presented findings to IT stakeholders, preventing flawed model from reaching production deployment.
Education
M.S. Computer Science
·Georgia Institute of TechnologyIncoming Spring 2027
Specialization in Machine Learning.
B.S. Computer Science
·University of California, Riverside2022 — 2026 · Graduated
GPA: 3.9/4.0. Coursework in ML, deep learning, security, networks, databases, OS, and software engineering.
Technologies I've worked with
Languages
Frontend
Backend
ML / Data
Infrastructure