Lirong Jian
Co-Founder & CEO at HashData - SQL on Cloud
Beijing, China
Summary
👤
Senior🎓
Top SchoolLirong Jian is a seasoned distributed systems engineer and entrepreneur with a decade of experience building cloud-native data platforms and SQL-on-Hadoop technologies. As Co-Founder and CEO of HashData, he leads product and engineering efforts around Apache Cloudberry while recruiting experts in distributed computing and databases. Previously he was a Senior MTS and committer on Apache HAWQ at Pivotal, contributing across optimizer, executor, interconnect, storage and performance tuning—work that included low-level fixes for query execution and concurrent resource management. His background spans large-scale ETL and personalization pipelines at Yahoo! and cloud platform research at IBM, giving him a rare blend of research rigor and production-grade engineering. Trained in distributed computing (MPhil, HKUST) and CS (Tsinghua), he combines academic depth with hands-on kernel-level backend contributions to widely used open-source data systems. A detail-oriented systems thinker, he often surfaces subtle concurrency and data-layout improvements that materially boost reliability and throughput.
11 years of coding experience
2 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at Tsinghua UniversityHong Kong University of Science and Technology (HKUST)
English, Chinese, Chinese
Stackoverflow
61reputation
3kreached
1answer
0questions
Github Skills (13)
c1710
data-structures10
postgresql10
c1110
data-structure10
concurrency9
concurrent9
build-system7
greenplum6
apache-spark6
hadoop6
scala6
hawq6
Programming languages (5)
Github contributions (5)
apache/hawq
Oct 2015 - Jan 2016
Apache HAWQ
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits, 22 PRs, 29 comments in 3 months
Contributions summary:Lirong primarily contributed to the Apache HAWQ project by implementing and modifying core backend components. Their work involved addressing issues related to query execution, such as handling large tuples and optimizing the dispatcher's waiting process. They also added copy functions for crucial data structures like `ResultRelSegFileInfo` and `SegFileSplitMapNode`, enhancing the system's data management capabilities. Additionally, the user made changes to locking mechanisms and configuration to allow for better handling of concurrent operations and resource allocation.
hawq
jianlirong/incubator-hawq
Oct 2015 - Sep 2019
Contributions:16 pushes, 31 branches in 3 years 11 months
javaincubatingapachehawq
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