Yohei Nakayama
CTO at Degas
Otsu, Japan
Summary
🤩
Rockstar🎓
Top SchoolYohei Nakayama is a CTO and seasoned AI/ML engineering leader based in Tokyo with nine years of industry experience and a PhD in Electrical and Electronics Engineering from Kyoto University. He brings deep AWS and deep learning expertise from multiple roles at Amazon Web Services—spanning cloud support to senior data scientist—and has translated research experience at NASA and JHU APL into production-ready ML systems. As an MLOps contributor to the popular Amazon SageMaker examples, he improved AutoGluon integration and authored notebooks that simplify deployment and inference workflows for marketplace customers. He combines academic rigor (former adjunct assistant professor at Keio University) with hands-on product delivery, excelling at bridging research, developer experience, and cloud-native ML deployment.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Kyoto University
Github Skills (9)
amazon-sagemaker10
machine-learning10
mlops10
aws10
python10
jupyter-notebook9
inference9
data-science8
deep-learning7
Programming languages (2)
Github contributions (5)
aws/amazon-sagemaker-examples
Apr 2020 - Oct 2021
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:14 reviews, 10 commits, 34 PRs in 1 year 5 months
Contributions summary:Yohei focused on integrating and improving AutoGluon within the Amazon SageMaker environment. Their contributions included adding support for new features, like split_type for batch transform jobs, updating dependencies to the latest versions of AutoGluon, and fixing bugs related to evaluation performance. They also developed new notebooks demonstrating AutoGluon usage in AWS Marketplace, demonstrating deployment and inference capabilities.
pythonjupyter-notebooktrainingawssagemaker
yoheigon/sagemaker-unity-mlagents
Jan 2020 - Apr 2020
Using SageMaker For Unity ML-Agents
Contributions:6 commits, 1 PR, 4 pushes in 3 months
pytorchsagemakerunity-ml-agentsdeep-learningml-agents
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.