I am an undergraduate student passionate about research in Machine Learning, particularly in the fields of Computer Vision for perception and control in robotics tasks.
I currently hold the following positions;
Working on projects in Robotics, Computer Vision and AI for Self-Driving Labs.
Working with Gaussian Splatting and Neural Radiance Fields for perception in robotics tasks supervised by Prof. Animesh Garg.
September 2023 - April 2024
Toronto, ON
Research Assistant for an interdisciplinary research project in Deep Learning and Computational Neuroscience. Supervised by Prof. Matthias Niemeier.
May 2023 - July 2023
Toronto, ON
September 2022 - May 2023
Toronto, ON
2022-2026 Bachelor of Science, Computer Science with a focus in AI, Minor in MathematicsCGPA: 3.98 / 4.0Honors and Awards:
Taken Courses:
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PyTorch implementations of popular ML papers, including Transformers, Attention, GPT, BERT, ELMo, Vision Transformers and more.
A webapp that uses Large Language Models to help students streamline studying by automating the boilerplate tasks. Winner of Second Best Overall Hack at Hack the Mist 2023
An app that uses hand pose estimation and a live video feed to allow the user to draw in thin air.
An app that uses pose estimation and a live video feed to allow the user to play their favourite video games with tangible actions.
An implementation of an autograd engine that can compute gradients for arbitrary functions. Written in Rust.
A simulation of the Physarum polychephalum slime. Written in Rust and rendered with the Bevy game engine (Video demo).
A simple pandemic simulation written in Rust and rendered with Raylib.
A mock stock trading app with real-time stock prices fetched with a stock API. Written in Java, structured according to the Clean Architecture and SOLID design principles. Course Project for CSC207 (Software Design).
A detailed statistical analysis of the relation between the spread of COVID-19 and stock prices of tech companies. Course project for STA130 (Statistical Reasoning).
