Jason Chang is a data scientist with 8 years of experience focused on computer vision research and productionizing vision stacks at Layer 6 AI. A University of Toronto M.Sc. in Applied Computing, he combines academic rigor with hands-on results—earning top ranks in landmark retrieval and RSNA pneumonia detection Kaggle challenges. He has applied novel segmentation techniques in real-time settings during a ModiFace internship and earlier software engineering experience at IBM. Based in Toronto, Jason bridges research and engineering to move state-of-the-art CV models into robust, deployable systems, with a track record of competing successfully under real-world constraints.
8 years of coding experience
2 years of employment as a software developer
Master of Science in Applied Computing, Computer Science, Master of Science in Applied Computing, Computer Science at University of Toronto
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