Wanqiang Ji
Apache Committer at The Apache Software Foundation
Beijing, China
Summary
🤩
RockstarWanqiang Ji is an Apache Committer and Staff Software Engineer based in Beijing with 12 years of experience building AI and data infrastructure. He focuses on reliable, production-grade distributed systems, contributing bug fixes and performance improvements to cornerstone projects like Apache Hadoop and cloud-native ML platforms such as Apache Submarine. At Ray he improved MLOps observability by adding multi-cluster Prometheus support to the dashboard, bridging frontend and backend work to simplify cluster monitoring. His contributions span back-end engineering, DevOps, and build/deployment automation, showing a knack for reducing operational friction in containerized environments. Known for pragmatic refactors and targeted fixes (e.g., container management and shuffle-service optimizations), he balances deep systems expertise with practical developer tooling improvements.
12 years of coding experience
Japanese, English, Chinese
Stackoverflow
43reputation
9kreached
4answers
0questions
Github Skills (35)
hadoop-mapreduce10
kubernetes10
docker10
dashboard10
python10
machine-learning10
mapreduce10
grafana10
hadoop10
dockers10
cicd10
java10
javas10
prometheus10
kubernetes-pods10
Programming languages (9)
Github contributions (5)
apache/submarine
Jul 2019 - Sep 2020
Submarine is Cloud Native Machine Learning Platform.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:61 reviews, 28 commits, 31 PRs in 1 year 1 month
Contributions summary:Wanqiang Ji's contributions primarily focused on improving the build and deployment process, refactoring existing code, and integrating new modules within the Submarine project. The commits involved optimizing the build environment, renaming packages, and restructuring modules, specifically related to the integration of Kubernetes for job submission. These changes reflect a focus on improving the project's infrastructure and containerization, crucial for cloud-native machine learning platforms. Additionally, the work involves the refactoring of code within the client and server modules.
machine-learning-platformlearning-platformdeep-learningnotebookdocker
apache/hadoop
Apr 2019 - Jun 2021
Apache Hadoop
Role in this project:Back-end Developer
Back-end DeveloperContributions:23 reviews, 38 commits, 20 PRs in 2 years 2 months
Contributions summary:Wanqiang primarily contributes to bug fixes and improvements within the Hadoop MapReduce framework. They addressed issues related to container management and task execution, specifically addressing container kill exit codes. They also removed unused code related to configuration parameters. Additionally, the user contributed to features supporting path cache configuration for the shuffle service. These changes suggest a focus on improving the performance and reliability of the Hadoop ecosystem.
apachebig-datasparkhadoopjava
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