Alvin Zhao
CTO And Co-founder at StarRocks
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlvin Zhao is a seasoned CTO and co-founder with 14 years of engineering experience and over a decade focused on databases and distributed systems. Based in Menlo Park, he co-founded StarRocks and PhoenixAI (formerly CelerData), driving a next-gen analytics engine now adopted by hundreds of enterprises and hosted as a Linux Foundation project. He blends hands-on backend engineering—evident from performance and memory-optimization contributions to StarRocks and Apache Doris—with product leadership that simplifies large-scale analytics for customers. As a former mechanical engineer turned computer scientist (Beihang University), he brings a pragmatic, systems-oriented perspective to building resilient, high-performance data platforms.
14 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Beihang University
Github Skills (16)
performance-tuning10
data-storage10
query-engine10
code-optimization10
databases10
apache-doris10
c-language10
cprogramming-language10
relational-databases10
sql-database10
database10
data-structure9
parquet9
data-structures9
build-system8
Programming languages (7)
Github contributions (5)
StarRocks/starrocks
Sep 2021 - Jan 2023
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Role in this project:
Backend Developer
Backend DeveloperContributions:2 releases, 5597 reviews, 168 commits in 1 year 4 months
Contributions summary:Alvin's commits primarily focused on code compilation and optimization efforts for the StarRocks query engine. These included ensuring compatibility with specific compiler versions (Clang 12.0.1) and resolving code style issues flagged by clang-tidy. The user also addressed potential performance issues and memory management by implementing features such as "remove unnecessary value param," "performance-for-range-copy," and "performance-inefficient-vector-operation," demonstrating a commitment to code quality and efficiency within the project's backend infrastructure. Several commits involved resolving clang-tidy complaints, indicating a focus on code quality.
multi-dimensionalcloudnativescenariosrealtime-databasereal-time
apache/doris
Aug 2017 - Jul 2020
Apache Doris is an easy-to-use, high performance and unified analytics database.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 release, 39 reviews, 143 commits in 2 years 11 months
Contributions summary:Alvin primarily focused on fixing bugs and implementing features related to the Apache Doris database. Their contributions include resolving issues with SHOW VARIABLES, fixing memory leaks in query failures, and enhancing the Broker load functionality. The user also made improvements to the HTTP framework by implementing epoll, adding support for creating UDFs, and improving the segment and column reader.
dbmsapache-dorisdbtreal-timehudi
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