Currently at Google, previously at Bloomberg. I build machine-learning solutions and full-stack data platforms — and I'm pursuing a Masters in Computer Science at UIUC.
I build software that turns complex data into products people can actually use — with a bias for simplicity, measurable impact, and code that outlives its author.
At Google, I apply machine learning to help clients solve large, ambiguous problems — designing end-to-end solutions that take models from idea to production, at a scale where small improvements translate into significant impact.
Previously at Bloomberg, I built full-stack web applications and data-management solutions for enterprise clients — owning everything from backend services and APIs to polished, client-facing interfaces in one of the industry's most demanding engineering environments.
I'm also pursuing a Masters in Computer Science at the University of Illinois Urbana-Champaign.
role Software Engineer current Google previous Bloomberg LP education Masters in Computer Science UIUC — in progress domain Machine Learning Full-Stack Development Data Systems languages Python / C++ / TypeScript location San Francisco — open to remote
Software Engineer — Machine Learning
Software Engineer — Full Stack
Masters in Computer Science — University of Illinois Urbana-Champaign
Python · C++ · TypeScript
Java · Go · SQL
Model development
Data pipelines
Production ML · MLOps
React · Node · APIs
Postgres · Cloud
CI/CD · Monitoring
System design · TDD
Code review culture
Client collaboration