Yueguang Jiao
Senior Software Architect at DataCanvas
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYueguang Jiao is a Senior Software Architect based in Beijing with 10 years of industry experience designing and optimizing backend systems for high-performance applications. With a strong academic foundation from Tsinghua University (Ph.D. and B.Eng. in Electrical and Electronics Engineering), he blends deep technical rigor with practical engineering across enterprises like DataCanvas, Veritas, and Symantec. He contributes to open-source projects such as DingoDB, where he improved documentation, refactored store APIs, and enhanced SQL query execution and aggregate function support—work that underscores his focus on database functionality and query optimization. Known for untangling complex backend challenges, he favors pragmatic refactors and measurable performance improvements that support high concurrency and low-latency workloads.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at Tsinghua University
English, Chinese
Github Skills (10)
query-optimization10
sql-query10
sql10
optimisation10
database-design10
optimization10
java9
documentation9
apache-calcite9
javas9
Programming languages (4)
Github contributions (5)
dingodb/dingo
Oct 2021 - Jan 2023
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:41 reviews, 107 commits, 407 PRs in 1 year 3 months
Contributions summary:Yueguang primarily contributed to the DingoDB project by adding documentation, specifically configuring and documenting Sphinx, the documentation builder used for the project. They also refactored the original store-api, fixed execution statistics and the SQL parameters for running queries. They also improved support for MIN and MAX aggregate functions, demonstrating a focus on database functionality and query optimization.
olap-enginehsapunstructured-datasql-enginevector-database
lasyard/lasys
Nov 2021 - Mar 2025
This is a simple PHP framework.
Contributions:1 PR, 133 pushes, 2 branches in 3 years 4 months
psr-11phpframeworkphp-frameworksimple-php-framework
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