Weiwen Zhang
Scientist at Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore
Singapore
Summary
🤩
Rockstar🎓
Top SchoolWeiwen Zhang is a scientist and software engineer with a Ph.D. in Computer Engineering from Nanyang Technological University and over seven years of experience in cloud, mobile, green data center and multimedia research. Based at A*STAR’s Institute of High Performance Computing in Singapore since 2015, he blends academic rigor with practical engineering to deliver robust backend and tooling improvements. He is an active open-source contributor to the OpenMMLab ecosystem, helping evolve flagship projects like mmdetection, mmcv, mmengine and mmrotate with features, testing, and release work. His contributions span algorithm implementation, evaluation metrics, CI/test improvements and DevOps-level refactoring, demonstrating both ML engineering and software-quality focus. A former visiting scholar at Purdue, he brings cross-institutional collaboration experience and a track record of improving maintainability and reproducibility in research codebases. Colleagues know him for attention to testing and build infrastructure—often tackling the less-glamorous but high-impact plumbing that keeps ML projects shipshape.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Nanyang Technological UniversityMaster's Degree, Computer Science, Master's Degree, Computer Science at South China University of Technology
Github Skills (24)
unit-testing10
pytorch10
python10
evaluation10
openmmlab10
machine-learning10
detectors10
data-structure10
detector10
deep-learning10
coco10
data-structures10
object-detection10
computer-vision10
metric10
Programming languages (6)
Github contributions (5)
open-mmlab/mmdetection3d
Apr 2020 - Jan 2023
OpenMMLab's next-generation platform for general 3D object detection.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:29 releases, 1235 reviews, 300 commits in 2 years 9 months
Contributions summary:Weiwen's commits primarily involve refactoring and reformatting existing code, suggesting a focus on code quality and maintainability. The user has demonstrated skills in code formatting by employing tools like yapf, potentially streamlining development processes. They also made improvements to the testing frameworks, potentially indicating an effort to enhance testing infrastructure or processes. Additionally, the user has made changes related to build configurations and file clients, which implies a potential contribution to improving and managing development tools and dependencies.
3d-object-detectionopenmmlabpytorchobject-detectionpoint-cloud
open-mmlab/mmdetection
Oct 2019 - Nov 2022
OpenMMLab Detection Toolbox and Benchmark
Role in this project:Backend Developer
Backend DeveloperContributions:44 releases, 2597 reviews, 211 commits in 3 years
Contributions summary:Weiwen primarily focused on enhancing the core functionality of the object detection system. Their contributions include implementing class-wise Average Precision (AP) evaluation within the `coco_eval` function, directly impacting the reporting capabilities. They also made improvements by incorporating version and logging details. Additionally, they contributed to code formatting and refactoring, enhancing the code's style and maintainability.
openmmlabobject-detectioninstance-segmentationfast-rcnnfaster-rcnn
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