I currently work as a Senior Embedded Systems Engineer at Magnus Medical in Burlingame, CA. Prior to this I worked as a Sensor Engineer at Zoox in Foster City, CA, and as a Hardware Engineer at Metawave Corporation in Palo Alto, CA. I received a Master's degree in Electrical Engineering and Computer Science (EECS) from University of Califorrnia, Berkeley in 2018, and I graduated with a Bachelor's of Science in EECS from Berkeley in 2017.

I have always worked at the intersection of hardware and software. Currently I work on firmware and software for SAINT, a revolutionary new depression treatment developed at Stanford University and being commercially developed by Magnus Medical. SAINT is a form of transcranial magnetic stimulation (TMS) that has demonstrated striking effectiveness for treatment-resistant depression in double-blind studies.

My previous work largely focused on sensor systems and sensor fusion in self-driving cars. My work at Metawave concerned high-frequency steerable radar, an essential part of sensor fusion systems in self-driving cars. At Zoox, I worked on camera calibration, lidar testing, and custom sensor development. I have worked with all three of the main self-driving sensor modalities--camera, radar, and lidar. My graduate research was in the Salahuddin Group, in the Laboratory for Emerging and Exploratory Devices (LEED), working in the field of spintronics. and using techniques such as ferromagnetic resonance, multiferroics, and spin torque.

I also have computer science experience from working on research for Lawrence Berkeley National Lab. During my time at Berkeley I was also involved with the Cal Solar Car team, building a competitive solar-powered race car, and the ASUC Office of the CTO, leading a project to create a system of campus-wide density scanners.