Summary
Jamal Rahim is a Canadian computer scientist and co-founder with eight years of experience bridging academic research and applied deep learning for vision and robotics. He completed a research MSc focused on animatable Neural Radiance Fields and has CVPR publications on multi-view stereo and rotation averaging, demonstrating strong foundations in 3D vision. Jamal has shipped practical tooling for industrial robot guidance—re-implementing stereo matching and 6D pose estimation pipelines using Python, OpenCV, Open3D, and PyTorch—and now applies that expertise at his startup Qul AI. Alongside entrepreneurial work he teaches programming and mentors students, reflecting a commitment to education and continual learning. Notably, he won Best Final Year Project at HKU for single-image matting of colored transparent objects, showing an early aptitude for tackling hard vision problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE (Exchange Semester), Computer Science, Bachelor of Engineering - BE (Exchange Semester), Computer Science at The University of Manchester
The University of Hong Kong (HKU)
Master of Science - MSc, Computing Science, 3.87/4.33, Master of Science - MSc, Computing Science, 3.87/4.33 at Simon Fraser University
English, Urdu