Hello! I'm a Computer Science student at the University of Toronto with a passion for technology and Software Development.
In my spare time, I work on projects ranging from Cryptographic locks to award-winning competition robots.
Although I primarily work with software, I also enjoy experimenting and using it with hardware to create something awesome.
I worked on integrating PyTorch with the world's fastest AI accelerator at Cerebras Systems.
I contributed to the Lazy Tensor Core components of PyTorch and Torch-MLIR — an open-source project supported by Google and the LLVM Foundation.
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Incoming SDE Intern
ML Frameworks Software Engineer
Board Member (Prev. Co-Chair & Web Director)
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🎉 Awarded Hack the North 2022 Finalist and Most Innovative Eye Tracking Application
Bringing PyTorch into the MLIR eco-system via Lazy Tensors
Banking made easy with Google Assistant
🎉 Awarded Most Innovation Solution by RBC
Indoor positioning system with an accuracy of 1m
Affordable and Versatile Dorm Automation System
Rubik's Cube based Encryption System
🎉 Awarded First Place, Best Hardware Hack, and Most Technically Complex
Want to get in touch? Feel free to connect with me here:
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