I help decide when a self-driving car is ready to drive.

I'm a systems engineer at Waymo, working on sensing and perception in the San Francisco Bay Area. My work covers lidar hardware, firmware, and perception software: building test frameworks, running large test campaigns, and checking sensor data quality before a release ships.

mmWave radar perception for factory robots

A radar-only perception system that lets an indoor factory robot detect and avoid obstacles in real time, with no camera or lidar.

2019

A bench-top atmosphere for laser internet

A bench-top rig that recreates atmospheric conditions indoors, so an optical link can be tested without waiting on the weather.

2018

Eight floating robots that dance

Eight autonomous floating robots that move in formation and run a synchronized light show.

2018

A $15 network analyzer

A low-cost, open-source network analyzer that measures the resonant frequency of MEMS cantilevers for a lab-on-a-chip system, for about $15.

2017
2019 — present

Systems Engineer — Sensing & Perception

Waymo

2022 — 2023

Product — Fleet & Calibration

Waymo

2018

Hardware Intern — Project Taara

X, the moonshot factory

2019

Open-source HSPICE parser

Harvey Mudd · ACE Lab (Prof. Spencer)

2017

Open-source lab instrumentation

Harvey Mudd · ODE Lab (Prof. Bryce)

Case study →
2013

Biomass & solar feasibility

AllGreen Energy (Bengaluru)

2013

Seaweed-to-biofuel research

Sea6 Energy (Bengaluru)

2014 — 2019

Harvey Mudd College

B.S. Engineering (Electrical & Robotics)

2015 — 2016

Gap Year

Explored the world

2012 — 2014

Mallya Aditi International School

Cambridge AICE Diploma (A Levels)

If you're working on something in robotics, sensing, or hardware, I'd like to hear about it. Reach me on LinkedIn.