David Mao
Senior Staff Software Engineer at Confluent
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Mao is a Senior Staff Software Engineer based in the San Francisco Bay Area with six years of hands-on experience building and optimizing distributed systems. He has risen through engineering ranks at Confluent, focusing on backend reliability and controller-level improvements for streaming platforms. A contributor to the high-profile Apache Kafka codebase, he has fixed critical AdminClient bugs, reduced noisy warnings, and introduced caching optimizations to lower resource usage. David blends deep Java/Scala expertise with production-first pragmatism, regularly tackling subtle correctness and performance issues. He holds a BS in Computer Science from UT Austin and brings an unusual interdisciplinary background with earlier studies in biology from UC Berkeley. Pragmatic and detail-oriented, he’s drawn to problems where protocol correctness and operational efficiency intersect.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA Biology General, Bachelor of Arts - BA Biology General at University of California, BerkeleyBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of Texas at Austin
Github Skills (10)
javas10
kafka10
admin-interface10
admin10
back-end-development10
java10
scala9
performance-optimization9
testing8
zookeeper7
Programming languages (2)
Github contributions (5)
apache/kafka
Feb 2020 - Aug 2022
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:140 reviews, 22 commits, 36 PRs in 2 years 6 months
Contributions summary:David primarily contributed to the Apache Kafka project by addressing bugs and improving the codebase related to the AdminClient and controller functionalities. They fixed an issue where the AdminClient incorrectly handled missing committed offsets, and they also addressed a problem with the repeated occurrence of warnings related to checkpointed offsets. Furthermore, the user optimized the quota manager and controller by implementing caching mechanisms to reduce resource usage. The user's work involved modifying Java and Scala files.
apache-kafkakafka-consumerapachescalakafka
splett2/kafka
Feb 2020 - Dec 2024
Mirror of Apache Kafka
Contributions:2 reviews, 2 PRs, 104 pushes in 4 years 10 months
kafka-streamsapache-kafkasinkksqldbstreams
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