I'm a software engineer at Robust Intelligence, an awesome startup focused on safe deployment of AI. I graduated from Princeton University with a degree in electrical engineering, focusing on applied computing and signal processing. I've worked on performance systems engineering, data infrastructure, and ML infrastructure. I also have worked on a few side projects, which you can find below.
Here are some of the things I've worked on. These include side projects, class-related projects, and my undergraduate senior thesis.
A sensor system designed to diagnose issues with squat technique during exercise. A model classifies errors using data from pressure-sensitive insoles and a depth sensor, feedback is displayed to the user.
Jan 2017 - Present
An augmented reality music production environment for iOS created with ARKit that allows the user to arrange sound clips in 3D and walk through the playback. It connects to a Bluetooth shoe peripheral to register sound hits when the user taps their foot. Started off as a hackathon project for Reality, Virtually Hackathon 2017 at the MIT Media Lab
A 3D filming system in which the left and right perspectives are shot from independent UAVs. Allows for novel, depth-perception enhancing effects.
Senior Thesis, 2015
A rover-like robot controlled by a fish inside of an onboard fishtank. A camera detects the fish's movements and translates them into robot motion. Essentially a hamster ball for a goldfish. No fish were harmed.
First Place, HackPrinceton Spring 2015
An automatic bike transmission system mounted on a bike that changes gears to maintain the biker's cadence.
Second Place, HackPrinceton Fall 2014
A plug-and-play system for Arduino equipped with a board to auto-detect sensors and configurations, as well as a visual programming language that compiles into C++.
Second Place, Greylock Hackfest, Summer 2014
A webapp that generates graphs based on a user's browsing history. Recommendations for other websites are also generated using collaborative filtering. Not creepy at all.
Final Project, COS 333, Spring 2014
A vehicle built on an RC-chassis that is controlled by a virtual reality station. Built over the course of of 6 weeks in a team of two.
Final Project, ELE 302, Spring 2014
A Raspberry Pi based sound trilateration system that dynamically approximates the location of a given sound source. Built in 24 hours in a team of four.
Finalist, Greylock Hackfest Summer 2013
A rover-like robot that is controlled using hand gestures read by a Microsoft Kinect. Built in 48 hours in a team of four.
First Place, HackPrinceton Spring 2013
A sound synthesizer with lasers as the human interface. Plays dubstep at various frequencies based on which laser beam is hit and hand position. Built in 48 hours in a team of four.
First Place, HackPrinceton Fall 2012