Shuzo Kashihara

Engineer at Preferred Networks, Inc.

Chiyoda, Japan
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
Shuzo Kashihara is an experienced engineer with 17 years in software development, currently based in Chiyoda, Japan and working at Preferred Networks. He specializes in back-end systems and DevOps, contributing to distributed online machine learning infrastructure such as the notable jubatus project. His work on jubavisor and jubactl shows practical expertise in runtime server configuration, build processes, and deployment automation. Colleagues rely on him for stabilizing core functionality and improving environment setup in complex, production-grade ML systems. He blends deep technical craftsmanship with a pragmatic focus on operability, making him a strong contributor to data-intensive engineering teams. An underrated strength is his attention to tooling details that keep large distributed services reliable in real-world operations.
code17 years of coding experience
github-logo-circle

Github Skills (8)

c-language10
cprogramming-language10
zookeeper9
bash8
build-automation8
web-deployment7
web-deploy7
deploying7

Programming languages (6)

C++ShellRustGoRubyPython

Github contributions (5)

github-logo-circle
jubatus/jubatus

Apr 2012 - Feb 2015

Framework and Library for Distributed Online Machine Learning
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:709 commits, 2 PRs, 2 pushes in 2 years 10 months
Contributions summary:Shuzo appears to have contributed to the core functionality of the `jubatus/jubatus` project, specifically focusing on the maintenance and execution of the `jubavisor` and `jubactl` components. They have also worked on improving path configurations and incorporating features such as command-line argument integration for runtime server configuration. This is further supported by contributions that touch on library loading and environment setup, indicating a focus on the build process and deployment.
pythoncaffe2data-sciencedeep-learningmachine-learning
pfnet/rflex

Apr 2019 - Feb 2021

Fast lexer code generator for Rust
Contributions:53 commits, 16 PRs, 24 pushes in 1 year 10 months
rustcode-generatordfajavalexer
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