Keiichi Kuroyanagi is an experienced Artificial Intelligence Engineer with over a decade of hands-on research and product work across mobility, advertising, and healthcare domains. Trained in condensed matter physics (Ritsumeikan BSc; Keio MSc), he transitioned into data science and deep learning to build practical systems—from automated business card OCR and user profiling at Sansan to in-vehicle driver monitoring and road-segmentation models at DeNA and Mobility Technologies. He has led ML engineering for AI call systems using Twilio and OpenAI, written training books for data scientists, and earned strong competition results including a Kaggle runner-up finish and KDD Cup placement. Comfortable moving models to edge devices and production, he combines rigorous academic thinking with operational engineering, and is an active contributor to the Japanese data science community.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, College of Science and Engineering, Bachelor's degree, College of Science and Engineering at Ritsumeikan University
Master's degree, Faculty of Science and Technology, Master's degree, Faculty of Science and Technology at Keio University
"Not too complicated" training code for CIFAR-10 by PyTorch Lightning
Contributions:2 releases, 95 commits, 3 PRs in 11 months
pytorchdeep-learningcifar10lightningtraining
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Keiichi Kuroyanagi - Artificial Intelligence Engineer at Idein Inc.