Kun Song
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolKun Song is a robotics-focused software engineer with 11 years of experience bridging research-grade humanoid manipulation and production back-end systems. Based in Hong Kong and pursuing a PhD in Computer Science at The University of Hong Kong, he blends mechanical engineering roots from Shanghai Jiao Tong University with hands-on contributions to high-profile open-source projects like Apache Dubbo and Knative Eventing. His OSS work emphasizes code quality, serialization support, and Kubernetes resource ownership—practical skills that complement his Lidar perception internship experience at Autowise.ai. Comfortable in both C++/robotics stacks and Java/Kubernetes ecosystems, he brings a systems-minded approach to integration and testing. Colleagues know him as a pragmatic problem-solver who writes thorough unit tests and quietly improves infrastructure reliability. Outside formal roles he balances “happy coding” with an interest in making local manipulation more robust in humanoid platforms.
11 years of coding experience
The University of Hong Kong (HKU)Master's degree, Mechanical Engineering, Robot Institue, 1%, Master's degree, Mechanical Engineering, Robot Institue, 1% at 上海交通大学
Github Skills (31)
brokers10
apache-dubbo10
channel10
broker10
distributed-systems10
data-serialization10
java10
serialization10
javas10
junit10
rpc10
go10
trigger10
jtest10
eventing10
Programming languages (7)
Github contributions (5)
apache/dubbo
Jun 2018 - Feb 2020
The java implementation of Apache Dubbo. An RPC and microservice framework.
Role in this project:
Backend Developer
Backend DeveloperContributions:12 commits, 23 PRs, 11 pushes in 1 year 8 months
Contributions summary:Kun primarily contributed to the Apache Dubbo project by adding unit tests, fixing typos, and supporting Protobuf serialization. They focused on enhancing the `dubbo-registry-multicast` module by adding comprehensive test cases. Additionally, the user updated the serialization unit tests and implemented Protobuf serialization support, improving Dubbo's capabilities. The changes reflect a focus on enhancing code quality, functionality, and serialization options within the Dubbo framework.
rpcjava-performancerestfuldubboframework
knative/eventing
May 2019 - May 2019
Event-driven application platform for Kubernetes
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 10 PRs, 16 comments in 8 days
Contributions summary:Kun primarily focused on refactoring and improving the Knative Eventing project's core functionalities. Their contributions involved updating the use of `kmeta.NewControllerRef` across several components, including Triggers, Channels, Brokers, and CronJobSources, to ensure proper ownership references. The user also added a unit test for `GetGroupVersionKind` method. These changes demonstrate a focus on Kubernetes resource management and the underlying infrastructure of the eventing platform.
eventingeventscloudeventsspecificationdeveloper-productivity
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