Ishizeki Riei
Senior Solutions Architect at NVIDIA
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolIshizeki Riei is a Senior Solutions Architect at NVIDIA with a Ph.D. in Physics and nine years of industry experience applying machine learning—especially deep learning—to real-world products like autonomous driving. Previously a Data Science Principal at Accenture and a data mining engineer in gaming, he bridges research-grade rigor with production engineering using tools such as TensorFlow, Keras, Python, C++, and AWS. He contributes to open-source ML projects (notably implementing and hardening a TensorFlow DeepLab v3+ segmentation model) and focuses on taking models from prototype to saved-model exports ready for deployment. Based in Chiyoda, Japan, he combines theoretical depth with hands-on model debugging and systems integration, making him adept at solving complex ML-to-product challenges.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Purdue University
Japanese, English
Github Skills (5)
deep-learning10
tensorflow10
python9
computer-vision9
machine-learning8
Programming languages (2)
Github contributions (5)
rishizek/tensorflow-deeplab-v3-plus
Feb 2018 - Nov 2019
DeepLabv3+ built in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:24 commits, 6 PRs, 11 pushes in 1 year 9 months
Contributions summary:Ishizeki primarily focused on implementing and refining a DeepLab v3+ model within the TensorFlow framework. They implemented the core deeplab v3 plus model, fixed several bugs related to ResNet node connections, activation functions, and upsampling. In addition to this the user updated the project to include the saved model export.
pascal-vocdeeplabdeep-learningdeeplab-resnetdeeplabv3plus
rishizek/tensorflow-deeplab-v3
Jan 2018 - Sep 2018
Contributions:60 commits, 12 pushes, 1 branch in 8 months
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