Siyang Tang

Cupertino, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Siyang 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 University

Graduate Student, Computer Science, Graduate Student, Computer Science at University of California, Los Angeles

Bachelor'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

query-optimization9

pact9

Programming languages (3)

TypeScriptJavaC++

Github contributions (5)

apache/doris

Jan 2023 - Jan 2023

Apache Doris is an easy-to-use, high performance and unified analytics database.

Role in this project:

Back-end Developer

Contributions:252 reviews, 1 commit, 277 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.

dbmsapache-dorisdbtreal-timehudi

TangSiyang2001/compact-rpc

Feb 2022 - Sep 2022

Contributions:40 commits, 21 pushes, 1 branch in 6 months

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