Dexterity is a Series-B startup backed by Kleiner Perkins and Lightspeed Ventures. I joined the company when it was around 30 people and helped it grow to >200 people as we scale to hundreds of robots deployed at customer warehouses. I have worked on algorithms, robot controls, robot applications, UI, simulations, diagnostic tooling, and more.

Motional (previosly Aptiv) is an autonomous vehicle company partnered with Hyundai and now offering driverless rides in Las Vegas with Lyft. I was an intern on their Controls team in Pittsburgh and investigated different ways to improve their vehicle models used in Model Prediction Control and state estimation.

Ford Greenfield Labs is the R&D center in Silicon Valley for Ford, and is where much of their experimental software development occurs. I was an intern on their simulations team, which was using high-fidelity gaming engines to develop photo-realistic simulation environments to be able to test and train ADAS and autonomous vehicle features.

The Model Predictive Control Lab at UC Berkeley is a research lab run by Prof. Francesco Borrelli. I joined the lab as an undergrad research assistant and had the opportunity to work on many exciting projects focused on using MPC for learning-based fuel saving, hardware-in-the-loop testing, and V2V communications for safety.