Contributed to groundbreaking projects at Cerebras Systems, Uber AI Labs, and Tesla, pushing the boundaries of neural network training, computer vision, and deep learning algorithms.
Education
Master of Applied Science from the University of Guelph, focusing on lifelong learning algorithms.
Background
Deeply passionate about neural network compression, large-scale foundation models, and enhancing the efficiency of training large neural networks, with a keen interest in generative AI.
Miscellany
Hobbies include playing basketball, working out at the gym, and drawing landscapes, architectures, or cars with pencil.