About Me

I completed a Bachelors of Applied Science (B.A.Sc) in Applied Mathematics and Engineering with a specialization in Mechanical Engineering at Queen’s University in Kingston, Ontario, Canada. My capstone project was done on eye-tracking for the purpose of preventing driver inattention in automobiles.

After graduating, I worked for two years at Morrison Hershfield as a mechanical design engineer (in training). I worked on a team with mechanical, evironmental, electrical, and control engineers on buildings, labratories, and condos. Some projects I worked on were: 1 Bloor East Condominium, Guelph Ontario Veterinarian College - Production Animal Isolation Facility, TTC McNicoll Bus Garage, and a University of Toronto Sandford Rooftop Physics Lab.

I then obtained my M.Sc at the Ryerson Vision Lab in August 2020 under the co-supervision of Dr. Neil Bruce and Dr. Kosta Derpanis. My M.Sc thesis focused on action recognition and weakly supervised semantic segmentation. I am currently working as a Scientist in Residence at NextAI where I work closely with multiple AI-based startups in Toronto. My role was to be a research consultant where I would help the teams implement and understand state-of-the-art research papers which relate to their business or product. Here are a short list of the companies I worked with: Origami-XR, Future Fertility, VideoLogic, NoLeak Defence, Argentum.

In September 2020, I started my PhD under the supervision of Dr. Kosta Derpanis which I am completing at York University. I am also a postgraduate affiliate at the Vector Institute. My research focuses on building interpretable computer vision algorithms for video-based deep learning models.

My hobbies include health and fitness, competitive Super Smash Bros. Melee, birds, close up magic, and progressive house music.