Summary
Jack Ding is a machine learning scientist and Member of Technical Staff with nine years of experience applying computer vision, generative AI, and graph learning to real-world systems. He holds a PhD in Mathematics from the University of Toronto and combines deep theoretical training with hands-on skills in Python, C++, Java, and JavaScript to deploy models in production using Docker, SageMaker and Terraform. His recent work spans prompt optimization for LLMs, multimodal knowledge-graph construction in VR, adversarial models for security cameras, and 3D graphics for medical devices, reflecting a rare blend of ML research, graphics, and high-performance computing. Based in Toronto, he moves quickly from cutting-edge algorithmic ideas to deployed solutions and has a particular knack for bridging generative models with structured graph representations in applied settings.
9 years of coding experience
7 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of Toronto
English, Chinese