Roboticist and machine learning engineer, with experience at Tesla AI, FAIR, Google Research and Amazon. Interested in self-supervised learning and fast neural network inference.
Work History
K-Scale Labs
Palo Alto, January 2024 - present
Founded a company to build a developer platform for humanoid robots
Meta AI
New York, October 2022 to May 2023
Research engineer, working on open-ended real-world robotics
Tesla AI
Palo Alto, March 2021 to May 2022
Machine learning engineer, working on AI for perception
Wrote CUDA kernels for the voxel occupancy network project
Worked with a coworker to make a language model drive a car which was the main model behind the v11 autopilot release
Facebook AI
Seattle, May 2018 to February 2021
Research engineer, worked on representation learning for speech
Coauthored multiple high-impact papers (available through my Google Scholar page)
Facebook, Care Machine Learning (Intern)
Seattle, Summer 2017
Built tools for automatically evaluating and deploying objectionable content classifiers
Tripled model refresh rate and eliminated several hours of manual work per refresh
Google Research, Handwriting Recognition (Intern)
Mountain View, Fall 2016
Improved mixed-script online handwriting recognition system for Chinese-English and Devanagari-English language pairs
Trained a GAN for producing handwriting using recurrent neural networks with attention components
Amazon, India Invoicing (Intern)
Seattle, Summer 2016
Build APIs and web services for interacting with Amazon’s invoicing system
Diagnosed and fixed multiple incidents which cumulatively affected millions of dollars in transactions
Education
Emory University, BS in Mathematics and Computer Science