Machine Learning Researcher at University of Toronto
Old Toronto, Ontario, Canada
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Summary
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Rockstar
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Top School
Kevin Qu is a machine learning researcher and systems engineer with seven years of experience building high-performance ML compilers, kernels, and robotics software across NVIDIA, AWS, AMD, and University of Toronto labs. He has shipped compiler and kernel work for TensorRT, Neuron (Inferentia/Trainium), and MoE/transformer components, and has practical quant experience from Cubist Systematic on portfolio optimization and signal attribution. Kevin combines deep systems-level optimization with applied research—recent work includes attention-level speculation and contributions to the Hidet compiler—while leading competitive DL acceleration teams that won OpenVINO, VTune, and TensorRT challenges. An active full-stack open-source contributor, he has improved UI and backend features on long-running Rails projects, showing breadth from low-level performance to product-facing interfaces. Based in Toronto and studying robotics engineering, he balances rigorous engineering with a quieter life passion for fishing, reflecting a methodical, patient approach to problem solving.
7 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Dr. G. W. William Secondary School
Bachelor of Applied Science - BASc, Engineering Science, 3.94, Bachelor of Applied Science - BASc, Engineering Science, 3.94 at University of Toronto
High School Diploma, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, High School Diploma, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at Newmarket High School
a collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! :balloon:
Role in this project:
Full-stack Developer
Contributions:26 PRs, 2 pushes, 211 comments in 2 months
Contributions summary:Kevin contributed primarily to the frontend and Rails backend of the application. They added new functionality to the stats page, including options for time manipulation. They also modified the UI, changing the "Show more/less" feature and other UI elements, as well as removing and adjusting modal functionality. Additionally, the user made adjustments to the layouts and user interface.
a collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! :balloon:
Contributions:76 pushes, 19 branches in 2 months
ruby-on-railsballoonexchangeknowledgerails
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Kevin Qu - Machine Learning Researcher at University of Toronto