Computer Vision Research Assistant at Lincoln Alexander School of Law
Old Toronto, Ontario, Canada
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Summary
馃懁
Senior
馃帗
Top School
Raiyan Rahman is a computer vision researcher and software engineer with 8 years of experience applying AI to real-world problems, currently working as a Computer Vision Research Assistant at Toronto Metropolitan University and as a SWE at Google Applied AI. He has built large-scale annotated image datasets and led benchmarks that improved detection and segmentation accuracy by double-digit percentages, with work presented at CVPR and ICET. Comfortable across the full stack, Raiyan has shipped interactive data visualizations and production web apps for education and policy use, deploying solutions with modern toolchains like Vercel. He combines strong academic training (MSc, University of Toronto BSc with high distinction) with hands-on model engineering鈥攐ften leveraging transfer learning and real-time inference鈥攖o turn research into practical systems. An analytical problem-solver who enjoys both elegant code and rigorous evaluation, he has a track record of improving model performance on niche domains such as pest and food-waste detection.
8 years of coding experience
Master of Science - MSc, Master of Science - MSc at Computer Science at Toronto Metropolitan University
Honours Bachelor of Science (High Distinction), Honours Bachelor of Science (High Distinction) at University of Toronto
Contributions:1 review, 10 PRs, 62 pushes in 10 months
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Raiyan Rahman - Computer Vision Research Assistant at Lincoln Alexander School of Law