I am a Robotics Software Engineer with a Masters degree in computer science (robotics). During my graduate studies, I worked at Stanford Vision Lab developing action primitives (pick, place, navigate, etc.) on NVIDIA's Omniverse simulation environment using both algorithmic and distributed RL approaches. My worked focused on both engineering for speed via implementing fast collision detection for algorithmic primitives and parallelizable/distributed environments for RL training as well as for the efficacy of the primitives. Previously, I worked 3 years as a Software Engineer at Box working on large scale data processing, developing APIs and building heavily used open source libraries for developers to interact with those APIs. On the side, I like tinkering with hardware and software to build interesting things.