Incoming SDE Intern @
Amazon
I previously interned at 2 startups, launched my own, and did ML research
I study Computer Science and Philosophy at UT Austin. I am particularly interested in metaethics, philosophy of mind, and the intersection of technology with morality.
Platform that uses a preference-weighted variant of the Gale-Shapley algorithm to optimally match undergraduate students to research labs.
Uses TensorFlow, MobileNet V2, and Adam optimization to predict dog breeds from images. Trained on Stanford's Dog Breed dataset. 81.12% accuracy.
Analyzed ways machine learning models could be biased against racial minorities and built statistical methods to mitigate that.