Yoshifumi Seki
Chief Product Officer at Toyama National College of Technology
Minato, Japan
Summary
👤
Senior🎓
Top SchoolYoshifumi Seki is a product and research leader with 11 years of experience building user-centric recommender systems, co-founding Gunosy after prototyping the product as a postgraduate. He holds a Ph.D. in Engineering from the University of Tokyo and has bridged academia and industry by publishing research, teaching web engineering, and advising technical education programs. As Chief Product Officer at Fairy Devices, he combines hands-on machine learning and data science expertise with product strategy to ship data-driven consumer experiences. His early work as a Chainer documentation contributor reflects a commitment to code clarity and maintainability in core deep-learning tooling. He has repeatedly scaled R&D from prototyping to production and is known for translating behavioral analysis into practical recommendation features. Based in Minato, Tokyo, he blends startup founding experience with formal research rigor to drive product innovation.
11 years of coding experience
9 years of employment as a software developer
University of TokyoComputer Science, Computer Science at Toyama National College of Technology
Github Skills (7)
python10
cupy10
documentation10
chainer10
numpy9
neural-network9
machine-learning8
Programming languages (2)
Github contributions (5)
chainer/chainer
Apr 2017 - May 2017
A flexible framework of neural networks for deep learning
Role in this project:
Technical Writer
Technical WriterContributions:8 commits, 5 PRs, 2 comments in 11 days
Contributions summary:Yoshifumi's contributions primarily involved updating docstrings across several core modules within the Chainer library. These updates include the addition or modification of documentation for several key components such as Convolution2D, Deconvolution2D, DilatedConvolution2D, Linear, and LSTM. Furthermore, the user removed outdated comments and unreachable code, demonstrating a commitment to code clarity. This suggests a focus on improving code readability and maintainability through better documentation.
cudapythonmxnetcaffe2flexible-framework
ysekky/chainer
Apr 2017 - Jun 2017
Contributions:5 pushes, 9 branches in 1 month
flexible-frameworkdeep-learningneural-networksmachine-learningneural-network
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