I'm currently a Machine Learning Engineer at Tesla working with a super talented team of engineers on future products and computer vision systems for Tesla's vehicles. As a graduate student advised by Dr. Graham W. Taylor, I am working towards an MASc at University of Guelph's Machine Learning Research Group (MLRG). I completed my BEng. in Engineering Systems and Computing, along with four awesome internships at Scotiabank, ON Semiconductor, Evertz Microsystems, and Jamdeo.
As a Machine Learning Researcher, I am interested in developing Continual/Lifelong Learning algorithms that allow Deep Neural Networks to continually evolve over time and dynamically adapt to unseen real-world environments at test time, and improve as they operate. I enjoy bridging the gap between machine learning research and engineering — combining my technical knowledge with my keen eye for design to create a beautiful product. My goal is to always build applications that are scalable and efficient under the hood while providing engaging, streamlined user experiences.
When I'm not in front of a computer screen, I'm probably playing basketball, working out at the gym, or drawing beautiful landscapes, architectures or cars with pencil.