Jan 2021 – Oct 2021 · 9 mos

• Led the Autonomy team (70+ engineers). We are building a machine learning first Autonomy stack, all the way from Perception to Prediction to Motion Planning. My team is responsible for all the neural networks running on our Autonomous Vehicles, and the machine learning platform to train them. If you are interested in working on the cutting edge of deep learning, consider applying.
• Toyota Woven Planet acquired the Level 5 team for $550M.

Jan 2020 – Jan 2021 · 1 yr

Jan 2018 – Jan 2020 · 2 yrs

Jul 2016 – Dec 2017 · 1 yr 5 mos · San Francisco Bay Area

• Started as IC, grew to TL, and then to TLM. Led the sensor fusion and 3D tracking team at Zoox. Team delivered the following aspects of the autonomy stack:
• Sensor fusion for lidar, vision, and radar. (Video of our stack from San Francisco: https://bloom.bg/2AdxvbX).
• Machine learning infrastructure and algorithms for deep sensor fusion (https://arxiv.org/abs/1711.10871).
• Tools and infrastructure to increase developer productivity.

Jan 2014 – May 2016 · 2 yrs 4 mos · Stanford, CA

• Started and led Brain4Cars (http://brain4cars.com) and RoboBrain (http://robobrain.me) projects at the Stanford AI lab. Won the best student paper award at CVPR 2016.

Sep 2012 – Feb 2016 · 3 yrs 5 mos · Ithaca, New York Area

• Specialization: Machine Learning, Robotics, and Computer Vision.
• Best student paper award at CVPR 2016
• Awarded orals at CVPR and SIGKDD.
• First author papers at: NIPS, CVPR, ICCV, SIGKDD, ISRR, ICRA, IJRR.
• Covered by MIT Technology Review, Wired, Techcrunch, BBC World news, NY Times, Discovery News, Forbes, CNN Money, and many others.
• Spent final two years of PhD at the Stanford AI Lab.