Developed unified routing system for all recruiting tools at Facebook, enabling over 50 separate applications to function seamlessly as a single-page app. Became a React & ReactRouter expert and coordinated with multiple teams across different offices to make this happen.
Developed C++ client for optimized reading of the internal-to-Facebook fork of the Apache Hadoop ORC file format. Benchmarks showed as much as 50% improvement in CPU time on local file reading speed against existing Java implementation.
Worked with Princeton professor Matt Weinberg to prove a theorem showing how an auctioneer running a repeated auction (e.g. a Google ad auction) can exploit bidders running common no-regret learning algorithms to extract full utility from them.
HackMIT winner (Baidu's $10,000 prize for Best Paddle Hack). Developed a model for identifying social media comments as containing personal attacks using Baidu's Paddle Deep Learning framework to call attention to online harassment and its biases.
Platform for Princeton University students and faculty to buy and sell goods. Developed with React/Redux on the frontend, and Go on the backend.
React(Router), Redux, Node, NumPy, Android
My team won the Google-sponsored coding/puzzle/trivia/word-association competition twice.