Ryo Miyajima is a software engineer with 11 years' experience, currently developing deep learning and reinforcement learning systems for robotics at Preferred Networks in Tokyo. He has built real-world robot and drone demos showcased at CEATEC (2016 and 2018), blending research-grade ML with applied control systems. His background spans structural and computational engineering—he began designing aircraft structures and analysis tools at Mitsubishi Heavy Industries and holds advanced degrees in mechanical engineering and computational mathematics. An active contributor to the Chainer deep-learning framework, he has improved testing and serialization features, reflecting a mix of ML engineering and QA rigor. Colleagues describe him as an enthusiastic learner who bridges theoretical methods and production-quality implementations.
11 years of coding experience
4 years of employment as a software developer
Master of Engineering (MEng), Mechanical Engineering, Master of Engineering (MEng), Mechanical Engineering at Yokohama National University
A flexible framework of neural networks for deep learning
Role in this project:
ML Engineer & QA Engineer
Contributions:13 commits, 3 PRs, 7 comments in 28 days
Contributions summary:Ryo's contributions primarily focused on enhancing the Chainer deep learning framework. They added tests to verify the functionality of the computational graph and the softmax activation function, specifically focusing on the `axis` parameter. Additionally, the user implemented and tested the loading functionality of the `npz` serializer, making sure it properly handles path options. These contributions suggest involvement in both development and quality assurance of the library.
Contributions:91 commits, 4 PRs, 87 pushes in 6 years 1 month
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.
Request Free Trial
Ryo Miyajima - Software Engineer at Preferred Networks, Inc.