About
A bit more context.
I study applied and computational mathematics at the University of Washington. I've taken a lot of math and CS classes I've liked — Probability, Stochastic Processes, and Optimization are some of my favorites.
Timeline
How I got here.
Sep 2026 — Dec 2026
Post
SDE Intern
AWS
May 2026 — Present
Post
ML Researcher, Diffusion Models
University of Washington
Working with Professor Soumik Pal. I'm interested in how neural networks represent curved spaces, and in pushing the current work toward Riemannian settings and robotics.
Jan 2026 — Present
Post
Machine Learning Engineer
SRLC
Built a natural-language image retrieval system for a nonprofit — search thousands of event photos by describing them, instead of scrolling.
Feb 2026
Mark
Third place, UW × Databricks Hackathon
CropCast
A crop yield prediction platform, forecasting end-of-season yield for farmers 60–90 days out.
Sep 2024 — 2027
Study
B.S., Applied Computational Mathematical Sciences
University of Washington, Seattle
I love participating in competition math and programming.
2020 — 2024
Study
Redmond High School
Redmond, Washington
Where it started. Math was my favorite subject, and combining it with building new technology is what really interested me. It is also where I found training.