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University of British Columbia - MSc in Electrical Engineering

September 2021 - Present

  • Co-supervised by Dr. Purang Abolmaesumi and Dr. Renjie Liao in the Robotics and Control Lab.

  • Research topics: Machine Learning, Graph Neural Networks, Medical Imaging

  • Expected Graduation: May 2023

University of British Columbia - BASc in Electrical Engineering

September 2016 - April 2021

  • Graduated with distinction and Co-op designation: 16 months of industry experience

  • Capstone project: High-Speed Data Acquisition System for Subatomic Physics Experiments

Work Experience

Amazon - Applied Scientist Intern

May 2022 - September 2022

  • Proposed, developed and evaluated a generative adversarial network-based model addressing identity preservation in facial image to image translation, demonstrating superior performance to prior works through qualitative and quantitative results as well as an exhaustive user study

  • Drafted a paper to be submitted to CVPR

TRIUMF - Firmware Engineer Intern

January 2020 - August 2020

  • Designed, developed and tested a data processor on FPGA fabric for the DarkSide 20K detector

  • Built an easily configurable Data Acquisition System supporting LVDS-type input data with up to 46 different configurations and speeds of up to 125 MSPS on a Xilinx SoC board

  • Developed Linux device drivers to control hardware modules from an ARM processor and created a remote command interface application to enable control over the system

Intel - Firmware Engineer Intern

May 2019 - December 2019

  • Addressed various firmware bugs and implemented new features in C, building familiarity with best coding standards and Agile Scrum methodology

  • Used clustering algorithms such as Affinity Propagation on Design Structure Matrices (DSM) clustering modules and measuring degree of dependency, detecting anomalies in the code base

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