Jay Tang
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolJay Tang is a seasoned software engineer with a decade of experience building developer-facing platforms and core backend services across major tech firms including TikTok, Amazon, and Alibaba. He has progressed from hands-on engineering roles to leadership positions focused on developer experience, AI platform components, and core service infrastructure. As an Apache committer, Jay contributed significant UI and message-tracing enhancements to the widely used Apache RocketMQ dashboard, demonstrating a blend of full-stack skills and open-source stewardship. Comfortable operating at the intersection of observability, platform reliability, and UX, he has a track record of upgrading libraries, resolving complex bugs, and integrating traceability into production systems. Based in Singapore, he pairs pragmatic engineering with cross-cultural team leadership and a penchant for improving developer workflows. Reachable at styletang@apache.org, he brings both enterprise-scale execution and community-minded engineering to platform challenges.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Software Engineering, Bachelor of Science - BS, Computer Software Engineering at Changchun University of Science and Technology
Github Skills (12)
uid10
javascript10
front-end-development10
ui-design10
angularjs10
echarts10
html9
javas8
css8
java8
back-end-development8
backend8
Programming languages (5)
Github contributions (5)
apache/rocketmq-dashboard
Mar 2017 - Dec 2021
The state-of-the-art Dashboard of Apache RoccketMQ provides excellent monitoring capability. Various graphs and statistics of events, performance and system information of clients and application is evidently made available to the user.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 40 reviews, 28 commits in 4 years 9 months
Contributions summary:Jay primarily contributed to the development of the RocketMQ Dashboard, implementing and improving the user interface for message tracing. They upgraded the ECharts library and enhanced the display of message trace data, including the addition of detailed information about send and consume message events. The user also addressed bugs, fixed code style issues, and made UI improvements across various components. Additionally, the user worked on integrating message trace functionality with the system.
monitoringstatisticssystem-information
StyleTang/incubator-rocketmq
Mar 2017 - Jan 2022
Mirror of Apache RocketMQ
Contributions:9 pushes, 2 branches in 4 years 10 months
rocketmqjavaapache
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