Stone Yun
Staff Machine Learning Engineer at Qualcomm
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolStone Yun is a Staff Machine Learning Engineer based in Toronto with eight years of experience building efficient, product-ready AI for mobile and embedded platforms. He specializes in on-device deep learning—particularly quantization and fixed-point integer inference—and has designed and deployed real-time AI upscaling and gaming super-resolution shipped on Qualcomm Snapdragon products. A PhD candidate at the University of Waterloo, Stone blends electrical/computer engineering foundations with cutting-edge ML research, holding multiple patents and several pending applications in efficient AI. Colleagues rely on him to translate academic advances (e.g., quantized CNNs) into performant, low-latency production algorithms that run under tight resource constraints. He thrives in high-energy, collaborative teams while enjoying ownership of end-to-end R&D-to-deployment projects.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE Honours Electrical Engineering, Bachelor of Engineering - BE Honours Electrical Engineering at McGill UniversityDoctor of Philosophy - PhD Systems Design Engineering - Machine Learning and Intelligence, Doctor of Philosophy - PhD Systems Design Engineering - Machine Learning and Intelligence at University of Waterloo
English, ChineseGithub contributions (5)
StoneY1/my_helpers
Mar 2019 - May 2020
Contributions:8 pushes, 1 branch in 1 year 1 month
StoneY1/SPH
Feb 2018 - Apr 2018
Contributions:26 pushes in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.