Google, Mountain View
Software Engineer
2019 - Present
Experience
Facebook, New York
Software Engineering Intern
2018
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.
Facebook, Seattle
Software Engineering Intern
2017
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.
Education
Princeton University
B.S.E., Computer Science
2015 - 2019
Phi Beta Kappa, summa cum laude.
Projects
Collideoscope: A Kaleidoscopic Infinite Runner
Co-creator
May 2019
Potentially addictive physics-y infinite runner inspired by the idea of endlessly running down the length of a kaleidoscope. Implemented with <a href="https://threejs.org/">ThreeJS</a>.
Auction Theory: Selling to No-Regret Buyers
Researcher
Feb 2018 — Jun 2019
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.
Resent(i)ment Analysis
Developer (ML and Backend)
Sep 2017 — Oct 2017
HackMIT winner (Baidu's $10,000 prize for Best Deep Learning 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.
Skills
I'm currently actively working with...
Haskell Java TypeScript
Also have some fluency in...
Python OCaml Go