Zeming Wu is a seasoned software engineer with 12 years’ experience at Taobao/Alibaba Group, specializing in large-scale data platforms and iOS development. He combines backend Java expertise (Spring, MyBatis) and distributed data engineering skills (Spark, Hadoop, Hive, MapReduce, Spark Streaming) to build real-time analytics and machine learning pipelines, and has shipped an iOS app (Weitao). A contributor to the high-profile Apache Spark codebase, he’s fixed Yarn integration bugs and improved ApplicationMaster and DAGScheduler robustness. Based in Guangzhou, he seeks roles in Guangzhou or Shenzhen and brings pragmatic production experience tying data quality metrics and streaming analytics to product features.
Lightning-fast cluster computing in Java, Scala and Python.
Role in this project:
Backend Developer
Contributions:6 commits in 25 days
Contributions summary:Zeming contributed to bug fixes and improvements within the Spark framework, specifically concerning the ApplicationMaster component and DAGScheduler. Their work includes correcting issues in the Yarn integration, such as setting the correct status in the shutdown hook and handling exceptions during user class execution. Furthermore, the user refactored ApplicationMaster code to address comments and improve readability by adding spaces for readability.
Contributions:11 pushes, 1 branch in 1 year 10 months
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