Education

University of Toronto2015 - 2020
  • B.S. in Computer Science
  • Focus: Artificial Intelligence, Computer Vision

Experience

Machine Learning Software EngineerFeb 2020 - Present
Qualcomm, IncMarkham, Canada
  • Worked on quantization analysis for Transformer based models
Research AssistantMay 2019 - Sep 2019
Vector InstituteToronto, Canada
  • Collected large-scale high-quality text data (12 billion word tokens)
  • Implemented and trained large-scale Transformer-based language models (GPT-2)
  • Automated distributed training setup and extensive model evaluations
  • Profiled distributed training performance on a shared GPU cluster
  • Supervised by Professor Jimmy Ba
ML Software Engineering InternMay 2018 - Apr 2019
Qualcomm, IncMarkham, Canada
  • Developed and trained quantization-friendly MobileNet for ImageNet dataset
  • Researched on Knowledge Distillation for Image Recognition and Object Detection
  • Researched on deep learning algorithms for Image De-noising using unpaired data
  • Developed an Android App FaceBlock to protect privacy in photos and videos
  • Published a NeurIPS Workshop paper on quantization-friendly MobileNet
Research StudentSep 2018 - Apr 2019
St. Michael's HospitalToronto, Canada
  • Researched on nodule segmentation for lung CT scans
  • Proposed and trained 3D UNet which achieved state-of-the-art accuracy
  • Supervised by Professor Michael Guerzhoy
Teaching AssistantSep 2017 - May 2020
University of TorontoToronto, Canada
  • CSC343 Introduction to Databases, Fall 2017
  • CSC320 Introduction to Visual Computing, Winter 2019
  • CSC384 Introduction to Artificial Intelligence, Winter 2020

About

I am a fourth-year Computer Science student at the University of Toronto, focusing on Artificial Intelligence and Computer Vision.

In the summer of 2019, I worked on Natural Language Processing as a research student at Vector Institute under the supervision of Professor Jimmy Ba.

Prior to that, I worked as a Machine Learning Software Engineering Intern at Qualcomm for 1 year, developing low-power AI solutions. Concurrently, I was a research student at St. Michael's Hospital, working on lung nodule segmentation under the supervision of Professor Michael Guerzhoy.

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