Yuxiang Shi
数据技术专家 at Ant Group
Hangzhou-Shaoxing Metropolitan Area China
Summary
🤩
Rockstar🎓
Top SchoolYuxiang Shi is a data technology expert with six years of experience building production-ready anomaly detection, root cause analysis, time series modeling, graph computation, and ML systems, currently based in the Hangzhou–Shaoxing area and working at Ant Group. He combines research training from an MPhil in Computer Science with practical engineering, previously developing algorithms at Alibaba.com and earlier systems work at eBay. Yuxiang contributes to open-source infrastructure such as TiSpark—helping improve CI/CD and test automation for running Spark on TiDB/TiKV—showing a focus on reliability and developer experience. Comfortable across backend and DevOps domains, he brings a track record of turning complex data problems into scalable pipelines and robust verification workflows.
6 years of coding experience
Bachelor's degree, Computer Science, 3.7, Bachelor's degree, Computer Science, 3.7 at Zhejiang UniversityThe Chinese University of Hong Kong (CUHK)
Github Skills (9)
github-ci10
spark10
githubaction-workflow10
cicd10
tikv9
testing9
tidb9
maven8
big-data5
Programming languages (16)
Github contributions (5)
pingcap/tispark
Dec 2021 - Jan 2023
TiSpark is built for running Apache Spark on top of TiDB/TiKV
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:23 releases, 418 reviews, 82 commits in 1 year
Contributions summary:Yuxiang primarily contributed to the CI/CD configuration and testing infrastructure of the TiSpark project. Their work included adding and modifying verification workflows using YAML files for GitHub Actions, specifically for formatting, building, and unit tests. They also made changes to integration test configurations, such as increasing instance capacity, excluding integration tests, and modifying sonatype configurations. These changes suggest a focus on improving the build and testing process for the project.
apache-sparktidbtikvbigdataspark
tidbcloud/ecosystem-integrations
Nov 2022 - Jan 2023
TiDB Cloud intergrations
Contributions:6 reviews, 34 commits, 48 PRs in 2 months
tidb
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