Luning Wang
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolLuning Wang is an ML systems engineer with a decade of experience optimizing infrastructure and inference efficiency for Large Language Models, including work on prompt compression, speculative decoding, and KV-cache compression. She has implemented production RAG systems and contributed to LLM deployment at companies like TikTok, Infinigence AI, and Huawei’s Noah’s Ark Lab. A prolific backend developer in the Apache ecosystem, she’s contributed to Flink, Kyuubi, Iceberg and related projects, bringing deep practical expertise in stream SQL, connectors, and distributed job submission. Based in Ann Arbor and grounded in an MS from the University of Michigan and a Tsinghua undergraduate degree, she blends research-level ML techniques (RL, multimodal/diffusion models) with hands-on engineering that moves models into production. Notably, her open-source work includes non-obvious fixes around SQL array/row conversions and Flink-YARN integration that improve robustness at scale.
10 years of coding experience
1 year of employment as a software developer
High School Diploma Science, High School Diploma Science at Hengshui High SchoolMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of MichiganBachelor's degree Electronic Information Science and Technology, Bachelor's degree Electronic Information Science and Technology at Tsinghua University
Spanish
Github Skills (26)
apache-flink10
amazon-elasticsearch10
big-data10
flink-sql10
hadoop10
jdbc10
java10
javas10
elasticsearchquery10
aws-elasticsearch10
sql10
elasticsearch10
stream-processing10
data-integration10
apache-phoenix10
Programming languages (8)
Github contributions (5)
DTStack/chunjun
Sep 2020 - Dec 2021
A data integration framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:173 commits, 14 PRs, 14 pushes in 1 year 3 months
Contributions summary:Luning's commits primarily involved modifying code related to the Phoenix reader and writer components within the Chunjun data integration framework. These changes included adding functionality for version control, updating configurations, and incorporating improvements related to table schema analysis and data type conversions. Their work indicates a focus on database integration and improving the system's functionality related to Apache Phoenix. The commits suggest a level of expertise in database connectors and related data processing logic.
operationbigdataflinkframeworkintegration-framework
DTStack/flinkStreamSQL
Jun 2020 - Sep 2021
基于开源的flink，对其实时sql进行扩展；主要实现了流与维表的join，支持原生flink SQL所有的语法
Role in this project:Back-end Developer
Back-end DeveloperContributions:121 commits, 6 PRs, 9 pushes in 1 year 3 months
Contributions summary:Luning focused on extending the real-time SQL capabilities of Apache Flink, as indicated by the repository's description. Their commits primarily involved enhancing the system to support array data types, including the implementation of conversions to and from array and row types. The user also addressed issues related to creating views, and resolving errors in side table joins, indicating a focus on core functionality and bug fixes within the SQL processing logic.
bigdataflink-sqlflinksqlapache-flink
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