Kaiming Ouyang

United States

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Summary

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Rockstar

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Top School

Kaiming Ouyang is a Ph.D.-trained computer scientist specializing in parallel runtime systems, with a decade of experience bridging academic research and national-lab practice. He earned his doctorate at the University of California, Riverside under Dr. Zizhong Chen and spent extended internships at Argonne National Laboratory's PMRS group, gaining hands-on experience in high-performance and parallel computing under Dr. Pavan Balaji and Dr. Min Si. His background includes international exposure as an exchange student at POSTECH and a solid engineering foundation from the University of Electronic Science and Technology of China. Kaiming combines deep systems research with applied development skills, focusing on scalable runtime designs that enable efficient parallel execution. Colleagues value his ability to translate complex runtime concepts into practical implementations for large-scale computing environments.

10 years of coding experience

Bachelor of Engineering (B.Eng.), Computer Science, Bachelor of Engineering (B.Eng.), Computer Science at University of Electronic Science and Technology

Exchange Student, Computer Science, Exchange Student, Computer Science at Pohang University of Science and Technology

Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, Riverside

Chinese, English

Github Skills (44)

python10

fortran10

acceleration10

machine-learning10

cluster-computing10

mpi10

hpc10

numpy10

deep-learning10

tensorflow10

gpu10

multi-gpu10

autograd10

neural-network10

cuda10

Programming languages (4)

C++CHTMLPython

Github contributions (5)

KaimingOuyang/mpich-pip

Apr 2020 - Jan 2022

Contributions:328 pushes, 23 branches in 1 year 9 months

KaimingOuyang/mpich

Oct 2018 - May 2021

Official MPICH Repository

Contributions:3 PRs, 769 pushes, 50 branches in 2 years 6 months

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