About
I'm a computer science student at Columbia University who enjoys building software that's clean, useful, and grounded in real impact.
I'm interested in full-stack development and machine learning, especially when they come together in projects involving performance, finance, or real-world problem solving. I care a lot about making things work well technically, but also making them feel easy and natural to use.
I've taught computer science to over 150 students, worked on AWS systems at Amazon that improved performance by 800×, and built everything from neural networks to finance dashboards. I like the challenge of taking complex ideas and turning them into something practical, reliable, and user-friendly.
I'm also a proud member of SHPE and ColorStack, and I'm always learning, whether that means picking up a new technology or just finding a cleaner way to build.
Outside of tech, I like solving my Rubik's Cube and watching a lot of movies.
Experience
Projects