Open to full-stack roles
Software engineer who ships end-to-end
Full-stack engineer with 1.5 years of professional experience and an M.S. in Computer Science. I've shipped production features in .NET and Angular at a clinical research organization, and I build real-time systems and AI-integrated products on my own time — from schema design all the way to deployed UI.
I'm a full-stack engineer with an M.S. in Computer Science and 1.5 years of professional experience. At Medpace I modernized a legacy HR application used across the company: migrated it to Angular and ASP.NET Core, moved infrastructure to Azure with CI/CD pipelines, and automated onboarding workflows that used to take three days down to two hours.
I like building things from start to finish. I love thinking an idea and turning it into something people can actually open in real life and use. I enjoy working on every part of the stack, from the database and backend to the frontend and the little details people interact with. Lately, AI has become a big part of how I build—not just to help me move faster, but as part of the products themselves. I enjoy experimenting with LLMs and agentic workflows to build applications that feel more intelligent and useful.
I finished my master's at the University of New Haven and I'm looking for software engineering roles.
M.S. Computer Science
University of New Haven
Aug 2024 – May 2026 · GPA 3.7 / 4.0
B.S. Computer Science
Northern Kentucky University
Jan 2020 – Dec 2023 · GPA 3.7 / 4.0
STEM OPT authorized — no sponsorship needed for up to 3 years.
Real-time multiplayer cricket auction with AI bidding opponents
A live multiplayer auction game where up to 8 teams bid on real Nepal Premier League players. Built on a server-authoritative state machine over WebSockets, with AI bots that each bid with a distinct personality.
iOS lost & found app for university students
One trusted place for students to post and search lost and found reports, with Firebase Auth, Firestore, Cloud Storage, and in-app messaging so finders and owners can coordinate a handoff.
Multi-agent tournament comparing five AI algorithms
Five AI agents play a full round-robin tic-tac-toe tournament to compare performance, learning efficiency, and computational cost across fundamentally different approaches to game-playing intelligence.
Auto-generated changelog of what I've shipped across my connected repositories.
Aug 2022 – Dec 2023
Cincinnati, OH
Dec 2021 – May 2022
Cincinnati, OH