Zhisheng L
Senior Machine Learning Engineer at SAP
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolZhisheng L is a Senior Machine Learning Engineer with a PhD in condensed matter physics and over 10 years of experience applying research-grade modeling to real-world products, now exploring AI and agent integrations for business apps at SAP. He led AI and LLM work for ERP scenarios at Microsoft and built defect-prediction systems for ASML, blending deep scientific rigor with production ML engineering. An active contributor to stream-processing tooling, he maintains a comprehensive Flink learning repo demonstrating large-scale real-time pipelines and connector implementations for Kafka, HBase, and Elasticsearch. With 500+ citations from his graphene and spintronics research, he brings a rare combination of published academic impact and hands-on experience shipping data-intensive systems in enterprise settings.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at University of Science and Technology of ChinaDoctor of Philosophy - PhD Condensed Matter and Materials Physics, Doctor of Philosophy - PhD Condensed Matter and Materials Physics at University of California, Riverside
Chinese, English
Stackoverflow
1reputation
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Github Skills (12)
javas10
hbase10
elasticsearch10
elasticsearchquery10
stream-processing10
kafka10
flink-sql10
aws-elasticsearch10
apache-flink10
java10
elasticsearch-api10
amazon-elasticsearch10
Programming languages (9)
Github contributions (5)
zhisheng17/flink-learning
Mar 2019 - Dec 2022
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
Role in this project:
Back-end Developer
Back-end DeveloperContributions:389 commits, 55 PRs, 356 pushes in 3 years 10 months
Contributions summary:Zhisheng primarily contributed to the development of data pipelines and stream processing applications using Flink. The commits demonstrate the implementation of various connectors and data sinks for Flink, including Kafka, HBase, and Elasticsearch. The user was responsible for building and maintaining core functionalities within the Flink environment, as seen by their work on implementing examples for the flink.
flink-sqlflinkhbaseconnectorclickhouse
zhisheng17/flink
Jan 2019 - Apr 2020
Apache Flink, Flink blog: http://www.54tianzhisheng.cn/tags/Flink/
Contributions:4 PRs, 67 pushes, 8 branches in 1 year 2 months
flinkapacheapache-flinkjavatags
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