Xiongqi Wu
Senior Staff Software Engineer at LinkedIn
California, United States
Summary
🤩
Rockstar🎓
Top SchoolXiongqi Wu is a Senior Staff Software Engineer based in California with seven years of industry experience building high-throughput distributed systems, currently driving Kafka and Pub/Sub platform work at LinkedIn. He combines deep systems and concurrency expertise—demonstrated by contributions to Apache Kafka that fixed race conditions in log compaction and improved producer batch safety—with production-focused monitoring improvements in LinkedIn’s Kafka-monitor project. Prior roles at Dell EMC involved designing IO pipelines and tuning deduplication engines for cloud data workloads, reflecting a strong background in storage and performance engineering. He holds a PhD in Computer Science from the University of Kentucky and brings a researcher's rigor to production systems, blending formal analysis with hands-on debugging of complex data-path issues. Notably, his open-source work touches critical internals of one of the most widely used streaming platforms, showing both domain depth and impact.
7 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of KentuckyBachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Xiamen University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (23)
brokers10
back-end-development10
kafka10
broker10
cluster-computing10
java10
scala10
javas10
logging10
backend10
clustering10
concurrency10
metric10
performance-tuning8
gradlew8
Programming languages (1)
Github contributions (5)
linkedin/kafka-monitor
Nov 2018 - May 2019
Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statistics - E2E latency, service produce/consume availability, offsets commit availability & latency, message loss rate and more.
Role in this project:
Backend Engineer
Backend EngineerContributions:4 releases, 4 reviews, 7 commits in 5 months
Contributions summary:Xiongqi primarily contributed to the backend logic of the Kafka monitoring system. Their work included implementing percentile calculations for produce and consume delays, addressing issues related to availability calculations and leader election, and refactoring code for clearer separation of concerns. Furthermore, they added support for blacklisting brokers and integrating Bintray for publishing artifacts.
monitorkafka-monitorclustersoffsetsvital
apache/kafka
Sep 2018 - May 2019
Mirror of Apache Kafka
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 8 PRs, 31 comments in 7 months
Contributions summary:Xiongqi primarily contributed to the Apache Kafka project by addressing concurrency issues and adding features related to log management and compaction. Their work included fixing race conditions in the log cleaner and retention threads, as well as implementing maximum log compaction lag functionality. Additionally, the user made improvements to the producer batch handling, addressing potential double deallocations and related issues. These changes demonstrate a strong understanding of Kafka's internal architecture and its critical data handling mechanisms.
apache-kafkakafka-consumerapachescalakafka
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.