Zora Tung
SWE (software Engineer) at Google NYC
Oakland, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZora Tung is a software engineer with 17 years of experience, currently focused on improving CPU and RAM performance for neural networks at Google NYC. They have deep backend and systems expertise from prior roles at Yelp, where they led search infrastructure, implemented data-driven geosharding, and spent years on-call and acting as an informal tech lead. An active open-source contributor, Zora optimized the image-processing core of RawTherapee with SIMD/SSE and aligned-memory refactors to deliver measurable performance gains. They hold a BA in Mathematics and Computer Science from UC Berkeley and bring a pragmatic, data-driven approach to performance tuning and large-scale service reliability. Based in Oakland, Zora’s work blends low-level optimization skills with production search and deployment experience, and their public projects (including vimap) reflect a taste for parallel computation and practical tooling. Notably, they combine deep technical chops with a perspective shaped by a multilingual identity and visible open-source presence.
16 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics and Computer Science, 3.78, Bachelor of Arts (B.A.), Mathematics and Computer Science, 3.78 at University of California, Berkeley
English
Stackoverflow
16,680reputation
1.6mreached
84answers
162questions
haskell
top-5%
Github Skills (19)
c-language10
rawinput10
sse10
raw-data10
cprogramming-language10
data-structure9
algorithm9
algorithms9
photography9
haskell9
data-structures9
tmux6
type-system6
sed6
ip6
Programming languages (8)
Github contributions (5)
RawTherapee/RawTherapee
Dec 2017 - Dec 2017
A powerful cross-platform raw photo processing program
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 13 comments in 1 day
Contributions summary:Zora primarily focused on optimizing the image processing core of the RawTherapee application. Their contributions involved refactoring existing code to utilize an `AlignedBuffer` helper class for improved memory alignment. Significant changes include implementing SSE (Streaming SIMD Extensions) for the standard tone curve application, resulting in performance enhancements. Additionally, the user refactored LUT (Look-Up Table) implementations by adding new SSE interpolating routines, which also improved performance.
openexrwxwidgetsrawtherapeeimage-viewerc-plus-plus
gatoatigrado/vimap
Jun 2013 - Jul 2015
Contributions:75 commits, 6 PRs, 8 pushes in 2 years 1 month
variationsimap
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