Siyang Tang
Machine Learning Engineer at Apple
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSiyang Tang is a Machine Learning Engineer based in Cupertino with about four years of professional experience applying computer vision, optimization, and systems-level thinking to production problems. Currently at Apple and trained at UCLA's Vision Lab, he blends academic research in visual navigation and face recognition with hands-on engineering across OS, algorithms, and product design. He is an active open-source contributor—having implemented stability and performance fixes in the widely used Apache Doris analytics database during GSOC 2023—bringing backend reliability experience alongside ML skills. Not your typical geek, Siyang pairs a control-engineering background from Zhejiang University and a design-and-innovation minor with a pragmatic focus on turning complex image and video analysis ideas into scalable products.
4 years of coding experience
1 year of employment as a software developer
Minor Certificate, Design and Innovation Program, Minor Certificate, Design and Innovation Program at Chu Kochen Honors College, Zhejiang UniversityUniversity of California, Los AngelesBachelor's degree, Control Science and Engineering,, Bachelor's degree, Control Science and Engineering, at Zhejiang University
English, Chinese
Github Skills (12)
javas10
databases10
sql10
relational-databases10
back-end-development10
sql-database10
java10
database10
pac9
data-management9
pact9
query-optimization9
Programming languages (3)
Github contributions (5)
apache/doris
Jan 2023 - Jan 2023
Apache Doris is a real-time analytics and hybrid search database for AI agents.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:294 reviews, 1 commit, 313 PRs in 1 day
Contributions summary:Siyang's commits primarily focused on enhancing the Apache Doris database's back-end functionality. Key contributions include implementing features related to timeout handling for insert operations, supporting special characters within delete conditions and various improvements related to the efficiency and stability of the database. The user also worked on addressing issues related to schema changes and the handling of session variables.
ai-agentapache-dorisdatabaseolaphudi
Hastyshell/Hastyshell
Feb 2022 - Jan 2026
Contributions:43 pushes, 1 branch in 4 years
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