Yosuke Oyama
Employee at FUJITSU LIMITED（JAPAN）
Japan
Summary
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Top SchoolYosuke Oyama is a research-driven software engineer with eight years of experience bridging academic research and industry, currently working at FUJITSU in Japan. As a JSPS-funded PhD candidate at Tokyo Institute of Technology he specializes in performance optimization of distributed deep learning frameworks on GPU supercomputers, focusing on accuracy-conscious automatic tuning. His background includes internships and research stints at Lawrence Livermore, ETH Zürich, and Fujitsu Laboratories, giving him hands-on exposure to large-scale HPC and networked systems. Yosuke combines deep experimental research with practical software and hardware design experience from earlier roles, making him effective at turning performance insights into deployable solutions. An implicit strength is his cross-cultural collaboration experience from international fellowships, which helps him navigate complex, multi-institutional projects.
7 years of coding experience
4 years of employment as a software developer
Tokyo Institute of Technology
Japanese, English
Github Skills (33)
artificial-intelligence10
machine-learning10
keras10
cpp10
interoperability9
python9
hpc9
tensorflow9
neural-network9
deep-learning9
sparse8
arbitrary-precision8
scikit-learn8
mxnet8
onnx8
Programming languages (2)
Github contributions (5)
oyamay/lbann
Jan 2019 - May 2021
Livermore Big Artificial Neural Network Toolkit
Contributions:2 releases, 1 PR, 287 pushes in 2 years 4 months
pythonartificial-neural-networkdeep-learningneural-networksmachine-learning
oyamay/DiHydrogen
Jan 2020 - Dec 2020
Contributions:1 release, 7 pushes, 10 branches in 11 months
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