Elizabeth Kwong
PhD Student at The Chinese University of Hong Kong
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolElizabeth Kwong is a multidisciplinary software engineer and PhD student in Public Health at The Chinese University of Hong Kong with 11 years of engineering experience bridging ML infrastructure, back-end systems, and build automation. She contributes to high-profile open-source projects—such as Julia, OpenMMLab, and the JuliaPackaging/Yggdrasil binary build ecosystem—where she focuses on cross-platform build recipes, video decoding performance, and distributed ML tooling. Her work spans testing and CI improvements, MLOps, and developer-facing enhancements (progress bars, lazy initialization, LOCAL_RANK handling) that improve both performance and usability. Trained originally in medicine and biochemistry (MD, UCSD School of Medicine; BS/MS UCLA), she combines domain knowledge in health with deep engineering skills, uniquely positioning her to tackle population-health problems with scalable ML systems. An uncommon strength is her fluency across low-level build automation and high-level ML model tooling, enabling end-to-end improvements from packaging to model training. She is based in Hong Kong and maintains a cryptic, curiosity-themed GitHub bio that hints at a methodical, discovery-driven approach to engineering.
11 years of coding experience
Doctor of Medicine (MD), Medicine, Doctor of Medicine (MD), Medicine at UCSD School of MedicineSt PaulsUniversity of California, Los Angeles
chinese (cantonese) and a bit of spanish
Github Skills (62)
julia10
git10
pytorch10
opencv10
visual-studio-code-extension10
c-language10
data-pipelines10
multiplatform10
python10
package-management10
image-processing10
sphinx10
testing10
ocr10
machine-learning10
Programming languages (17)
Github contributions (5)
open-mmlab/mmagic
Jan 2021 - Aug 2021
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Role in this project:
ML Engineer
ML EngineerContributions:5 releases, 487 reviews, 68 commits in 7 months
Contributions summary:Elizabeth primarily contributed to the documentation and model zoo of the repository, adding dataset overviews and model information. They refactored data loading configurations to improve the flexibility and organization of the training process. Additionally, the user fixed typos, updated file paths and dependencies. The user also made various improvements to the codebase by introducing changes, such as the use of `nn.MaxUnpool2d`.
mattingimage-synthesistext-to-imagevideo-super-resolutionvideo-restoration
open-mmlab/mmaction2
Dec 2019 - Apr 2021
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Role in this project:Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:5 releases, 948 reviews, 143 commits in 1 year 3 months
Contributions summary:Elizabeth's commits primarily focus on back-end development tasks, including debugging and code refactoring within the repository. They contributed to the core training processes of action recognition models. Moreover, the user implemented functionality for building and training models, added support for features such as dropping the last batch, and updated loading pipelines within the codebase. The contributions also involved addressing technical debt.
avax3dvisual-recognitionbenchmarkvideo
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