About me
A little more context
My projects
My projects are a reflection of my interests in the moment. Some are born out of a particular problem I'm facing, others are a way to explore a new technology or idea, some are a creative submission for a class project, and some others yet are just made for fun.
How did we get here?
From a young age, I've always been interested in building things. It started with Lego and Minecraft, but when I started coding in middle school, it was love at first sight. After being accepted into my dream school, Cornell, I've been able to explore my interests in a more structured way, and I've been able to build some really cool things.
My hobbies
In my free time, I like to hang out with my friends, play video games, learn new instruments, and explore the beauty of creation. Above all, I enjoy the process of creating and learning new things, and making meaningful connections with others.
Featured projects
Some highlights from my time as a dev. Full list of projects below!
FEATURED
Hudson Valley Textile Project
Hack4Impact Cornell — software for HVTP / NEFX, a nonprofit building a sustainable Northeast fiber supply chain.
FEATURED
MedExplain
Hack4Impact Cornell — led backend and UI overhaul for a nonprofit platform that delivers free, accessible medical information.
FEATURED
MajorScout
College major matching site — a categorized quiz maps you to ~2,000 programs across 25 top U.S. universities with real acceptance rates.
FEATURED
Captain
Lightweight AI-driven DaVinci Resolve plugin — local Whisper transcription, text-edit cuts, and apply back to the timeline on Free or Studio.
FEATURED
Burger.AI
Finalist at the 2026 Cornell AI NYC Hackathon — automated pipeline to stress-test agentic financial AI against OWASP-style expectations.
FEATURED
PrairieMap
Mapping video creation tool — import map frames, draw territories, document events, and compile timelapse video.
FEATURED
Debately
Claude Builder's Club Hackathon 2025 — structured, fact-based debate with Claude summaries, source checks, and Tavily-backed verification.
FEATURED
Independent research — DDoS amplification
May–July 2024 analysis of CIC-DDoS2019: supervised ML for amplification traffic at 99%+ accuracy, Vaex plots over 5M rows.
Download my resume
A synopsis of my work experience and projects.