I'm a Master's student in Computer Science at York University with a background in Electrical Engineering, focused on Machine Learning, Deep Learning, Computer Vision, and ML Engineering.
My interests lie in building practical ML systems and tackling research problems involving efficient and reliable machine learning.
- Hockey Homography Estimation - Computer vision pipeline for rink registration using image retrieval, feature matching, RANSAC, and ECC refinement.
- NAFNet Image Restoration - Reproduction and evaluation of a deep image restoration model using PyTorch.
- EEG Motor Imagery Classification - Signal-processing and machine-learning pipeline for EEG classification.
Currently working on post-training compression of 3D Gaussian Splatting (3DGS) using graph signal processing and learned methods.
