Kazuya Yamaguchi
Software Engineer at 株式会社Gaudiy | Gaudiy, Inc.
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolKazuya Yamaguchi is a seasoned software engineer with a decade of experience, currently shaping Unity-based games and WebGL experiences at Gaudiy, Inc. in Tokyo's Chiyoda. He blends real-time graphics expertise with Python proficiency to build engaging, performant interactive applications, drawing on a track record across gaming, media, and AI tooling. Notably, he contributes to the probabilistic machine learning community as a data scientist for the probml/pyprobml project, updating code to modern libraries and best practices (SciPy, PyMC3), and helping keep cutting-edge ML examples production-ready. His career includes leadership as a Lead Software Engineer at EmbodyMe and hands-on roles at Supership, Wise, and WOGO, illustrating growth from core software development to architectural contributions. He studied at the University of Tokyo before pursuing industry opportunities, reflecting a pragmatic path toward impactful software work. Based in Tokyo, he brings a user-focused mindset, cross-disciplinary collaboration, and a passion for turning complex ML concepts into accessible, production-grade code.
11 years of coding experience
7 years of employment as a software developer
Dropped out, Dropped out at 東京大学
Japanese, English
Github Skills (11)
pymc10
machine-learning10
probabilistic-programming10
pymc310
python10
numpy9
scipy9
pandas6
tensorflow24
pytorch4
tensorflow4
Programming languages (1)
Github contributions (5)
probml/pyprobml
Feb 2021 - Mar 2021
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Role in this project:
Data Scientist
Data ScientistContributions:5 commits, 7 PRs, 1 comment in 16 days
Contributions summary:Kazuya primarily contributes to updating and maintaining existing Python scripts related to probabilistic machine learning concepts. Their work involves adapting code to use updated libraries (e.g., `scipy.special` instead of `scipy.misc`) and correcting deprecated function calls. The changes also reflect the user's awareness of best practices in libraries like `pymc3` and adjusting code to work with the latest versions of these tools.
pythonpmlflaxcolabpymc3
kzymgch/VirtualDesktop
Oct 2017 - Oct 2017
Contributions:29 pushes, 1 branch in 4 days
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