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bhairavmehta95/README.md

Hi there, I'm Bhairav 👋

Nowadays, I'm building in the cross-section of generative ai + business workflows, whatever that means.

Previously, I was the founder and CEO of Buzzle, a YC-backed platform to help strategic teams get more out of their call recording libraries. I was a PhD student at the Massachusetts Institute of Technology, studying the effect of data distributions on deep learning and multi-task learning algorithms. I have a Masters in Deep Learning from Mila, and a Bachelors in Computer Science from the University of Michigan. Before q&ai, I worked as a research intern at NASA's Jet Propulsion Laboratory and NVIDIA's Seattle Robotics Lab. My LinkedIn is the most up-to-date, but you may also be looking for my old academic site or my Google Scholar profile.

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  1. duckietown-udem/udem-fall19-public duckietown-udem/udem-fall19-public Public

    Public accompanying repository for Universite de Montreal's IFT 6757: Autnonomous Vehicles, Fall 2019.

    Jupyter Notebook 11 37

  2. montrealrobotics/active-domainrand montrealrobotics/active-domainrand Public

    Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)

    Python 95 18

  3. montrealrobotics/domain-randomizer montrealrobotics/domain-randomizer Public

    A standalone library to randomize various OpenAI Gym Environments

    Python 60 11

  4. depthfirstlearning/depthfirstlearning.com depthfirstlearning/depthfirstlearning.com Public

    TeX 195 29

  5. NVlabs/sim-parameter-estimation NVlabs/sim-parameter-estimation Public

    The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), from NVIDIA Research Seattle.

    Python 29 3