Experience

  • June 2023 - Present
    Senior Research Scientist and Manager
    NVIDIA Research - Santa Clara, CA - USA
  • January 2022 - June 2023
    Research Scientist
    NVIDIA Research - Santa Clara, CA - USA
  • March 2021 - September 2021
    Research Scientist Intern
    NVIDIA Research - Santa Clara, CA - USA
  • June 2020 - September 2020
    Research Scientist Intern
    Toyota Research Institute - Los Altos, CA - USA
    • Worked with the Head of Machine Learning Research, Adrien Gaidon, on novel trajectory forecasting methods.
  • June 2017 - September 2017
    Prime Air SDE Intern
    Amazon.com - Seattle, WA - USA
    • Worked with Principal Research Scientist Ishay Kamon in the Autonomy team.
    • Designed and implemented a novel state-of-the-art deep learning approach for a specific computer vision task within the team, outperforming existing models by 10x.
    • The project was completed successfully and a full-time Research Scientist return offer was extended.
  • April 2017 - June 2017
    CS231A Course Assistant
    Stanford University - Stanford, CA - USA
  • May 2016 - August 2016
    Prime Air SDE Intern
    Amazon.com - Seattle, WA - USA
    • Worked with former NASA Astronaut Neil Woodward in the Flight Test team.
    • Designed and built fault-tolerant, scalable software and hardware to autonomously collect and process relevant flight test data from numerous locations for internal consumption.
    • The project was completed successfully and a return offer was extended.
  • January 2016 - May 2016
    CSC411 Teaching Assistant
    University of Toronto - Toronto, ON - Canada
  • May 2015 - August 2015
    Summer Research Intern
    ETH Zurich - Zurich - Switzerland
    • Worked with Professor Raffaello D’Andrea in the Institute for Dynamic Systems and Control, specifically the Flying Machine Arena.
    • Removed superfluous code from an open source motor controller and implemented new features such as motor calibration, emergency safety states, and a better motor startup routine in C.
    • Simulated dynamic motor and propeller system responses in Python.
    • Technology used: STM32 C Code, Motor Controller PCB Chips, Quadrotor Flying Vehicles.
  • May 2014 - July 2014
    SDE Intern
    Amazon.com - Seattle, WA - USA
    • Worked in the Demand Forecasting team creating a real-time simulation tool. The project was completed successfully and a return offer was extended.
    • Worked with Big Data, using the Hadoop framework (MapReduce, HDFS, etc.) to process large amounts of simulation data generated by a machine learning module.
    • Created a web service with Spring, designed and implemented a website UI with GWT, and used the AWS SDK to store and retrieve data from S3.
    • Gave a presentation to 100+ Amazon employees regarding my project and its design, implementation, and performance.
    • Concepts employed: Big Data, Highly Scalable Distributed Systems, and Data Mining.
  • May 2013 - August 2013
    Agile Engineer Co-op
    Xtreme Labs (now Pivotal) - Toronto, ON - Canada
    • Learned Agile development methodologies and applied them to real-world projects.
    • Provided input on and developed an app that has 1,000,000+ installs.
    • Technology used: Android SDK for apps and HTML/CSS3/PHP for website development.