Zhenheng TANG
Research Scientist at The Hong Kong University of Science and Technology
Summary
🤩
RockstarZhenheng TANG is a research scientist and post-doctoral researcher with eight years of experience at the intersection of machine learning research and systems engineering. He holds a CS PhD from HKBU and an EE BEng from HUST, blending theoretical rigor with practical engineering skills. His recent work includes integrating large-scale computer vision datasets like ImageNet and Google Landmarks into the popular FedML federated learning framework, improving dataset pipelines and platform robustness. Comfortable moving research into production, he focuses on data preprocessing, tooling, and bug fixes that enable scalable federated training across cloud and on-premise clusters. Colleagues describe him as someone who pairs meticulous experimental design with pragmatic code contributions that accelerate team progress. He is based in China and continues to drive reproducible, deployment-ready ML research.
8 years of coding experience
Github Skills (10)
data-preprocessing10
computer-vision10
machine-learning10
federated-learning10
python10
tensorflow9
deeplearning-ai9
distributed-training9
deep-learning9
pytorch9
Programming languages (3)
Github contributions (5)
FedML-AI/FedML
Nov 2020 - Sep 2022
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 123 commits, 31 PRs in 1 year 10 months
Contributions summary:Zhenheng primarily focused on integrating new datasets for federated learning within the FEDML framework. They added ImageNet and Google Landmarks datasets, demonstrating expertise in data preprocessing and integration with the existing codebase. Furthermore, the user implemented the necessary scripts and configurations for utilizing these datasets, expanding the capabilities of the platform for computer vision tasks. They also worked on bug fixes and optimizations related to these new datasets.
inference-enginepythonsimulationdecentralizedsilo
wizard1203/waternn
Nov 2018 - Aug 2019
Contributions:140 commits, 129 pushes, 1 branch in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.