Rong Gu

Founder at Nanjing University

Nanjing City, Jiangsu, China
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
🎓
Top School
Rong Gu is a founder and seasoned software engineer with 13 years’ experience building cloud-native data systems from Nanjing. He is an Alluxio founding PMC member and community chair/co‑founder of Fluid Cloud Native, reflecting deep involvement in open-source data orchestration for analytics and ML. Rong’s hands-on contributions focus on backend reliability, code quality, and fault-tolerance fixes, along with unit testing to harden file-location functionality. Trained in computer science at Nanjing University of Aeronautics and Astronautics, he combines entrepreneurial drive with practical engineering discipline and a knack for improving robustness in distributed storage projects.
code14 years of coding experience
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nanjing University of Aeronautics and Astronautics
github-logo-circle

Github Skills (10)

javas10
filesystem10
java10
testing10
code-formatting9
coding-style9
orchestrate9
orchestration9
code-standards9
data-analysis8

Programming languages (7)

JavaScalaJavaScriptGoMustacheHTMLPython

Github contributions (5)

github-logo-circle
Alluxio/alluxio

Jul 2013 - Jul 2017

Alluxio, data orchestration for analytics and machine learning in the cloud
Role in this project:
userBack-end Developer
Contributions:163 commits, 45 PRs, 103 comments in 4 years
Contributions summary:Rong's commits primarily focus on code style correction and removal of unnecessary exceptions within the `TFsShell.java` file. The user also added unit tests for location and file information functionalities in `TFsShellTest.java`. Furthermore, the user addressed a specific JIRA issue related to fault-tolerant mode within the same project, correcting the code for the `TFsShell.java` and `Utils.java` files. These contributions suggest a focus on code quality, bug fixing, and functionality enhancements within the Alluxio project.
alluxiomachine-learningmemory-speedhadoopspark
PasaLab/marlin

Sep 2014 - Oct 2014

A Distributed Matrix Operations Library Built on Top of Spark
Contributions:12 commits in 1 month
spark
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