Hugging Face - Research Intern
June 2022 - December 2022
Helped develop Sample-Factory version 2.0; an open source Python library for high throughput asynchronous reinforcement learning.
I am a Masters student studying Computer Science at USC graduating in May 2023. I am interested in machine learning for computer vision and reinforcement learning for robotics. Before my Masters degree, I studied Engineering Physics at the University of British Columbia.
Helped develop Sample-Factory version 2.0; an open source Python library for high throughput asynchronous reinforcement learning.
Developed interactive educational resources for teaching math and science for high school students using Jupyter Notebooks for PIMS' Callysto program.
Taught calculus tutorials to first year students over Zoom. Reviewed lecture content and worked through practice problems.
Full stack developer internship at email spam filtering company MailChannels. Designed client signup webpages and improved performance by implementing caching on address fetching.
Developed computer vision models for censoring faces and text in videos and models for identifying colon cancer from videos. Also developed signal processing models for classifying weapons based on magnetic signals.
Wrote assembly guide and performed quality assurance on Seal Trak units used to secure and track shipping containers.
Developed web page using Angular to search for businesses and book reservations.
Chassis subteam lead for UBC Solar, which designs and builds a solar powered race car to compete in the American Solar Challenge.
Sponsored by Iris Automations. Worked in team of four to build a reinforcement learning solution for steering a fixed wing drone to avoid flying obstacles.
Sponsored by Osensa Innovations. Worked in team of four to build and test an optic fiber solution for detecting arc flashes in power stations.
Built autonomous robot to navigate obstacle course and retrieve objects. Placed 4th out of 16 in ENPH robot competition.