Jory Liang

Software Engineer at Gradual

Hangzhou City, Zhejiang, 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
Jory Liang is a software engineer with 11 years of experience, currently building products at Gradual out of Hangzhou. He has a strong front-end background from roles at Alibaba supporting local living services and formal training in electrical engineering and front-end development. Jory contributes to notable open-source projects like Alibaba's pipcook, where he improved type safety and refined ML platform lifecycle and plugin architecture—showing an ability to bridge front-end engineering with machine learning tooling. Practical and detail-oriented, he focuses on robust, well-typed code and incremental platform improvements that make systems easier to extend and maintain.
code11 years of coding experience
job2 years of employment as a software developer
book2011, 电气工程及其自动化, 2011, 电气工程及其自动化 at 江南大学
bookMaster of Computer Applications (M.C.A.), Front-end, Master of Computer Applications (M.C.A.), Front-end at freeCodeCamp
stackoverflow-logo

Stackoverflow

Stats
1,061reputation
242kreached
1answer
1question
Badges
ssh
top-5%
github
top-5%
ssh-keys
top-5%
github-logo-circle

Github Skills (15)

mle10
machine-learning10
typescript10
javascript10
typescripts10
typescript-types10
pipeline10
ml10
github9
ssh9
ssh-keys9
tensorflow9
web-framework8
git6
passphrase6

Programming languages (9)

TypeScriptJavaCSSC++SCSSJavaScriptHTMLPython

Github contributions (5)

github-logo-circle
alibaba/pipcook

Apr 2020 - Aug 2020

Machine learning platform for Web developers
Role in this project:
userML Engineer
Contributions:3 reviews, 7 commits, 7 PRs in 4 months
Contributions summary:Jory primarily focused on defining and modifying the lifecycle components of the machine learning platform. They added type definitions for key files, removed `any` types to improve type safety and refined the structure of the lifecycle stages. The user also purged the deploy stage from the plugins and added type definitions related to the runner, indicating a strong understanding of the platform's core architecture and plugin system.
machine-learning-platformlearning-platformpipelinemachine-learningtensorflow
liangzr/resume

Apr 2019 - Feb 2022

Contributions:7 commits, 8 pushes, 1 branch in 2 years 10 months
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
Jory Liang - Software Engineer at Gradual