Pioneered two patent-pending text-to-video architectures achieving unprecedented temporal coherence through novel data-efficient learning frameworks, setting new SOTA metrics with only 12% of industry-standard training data.

Directed a cross-functional team of 4 engineers in developing an enterprise-grade 3D human pose estimation system deployed across unity's flagship production environment. Designed and implemented a complete machine learning pipeline encompassing data acquisition strategies, multi-stage model optimization, and cloud-based deployment infrastructure.

Engineered and implemented three deep learning workflows to address lung cancer prediction challenges in a multi-domain environment, leveraging a dataset of 200 high-resolution CT scans from industrial clients. Delivered state-of-the-art predictive models under aggressive timelines.

Master of Electrical Engineering

Bachelor of Electrical Engineering