Kai Zhang is a seasoned software engineer with 13 years of experience in machine learning and cloud systems based in San Jose. At Meta since 2017 he builds and productionizes computer vision models and inference services, translating research into product-grade solutions. He brings deep backend and storage expertise from Cisco, where he optimized OpenStack/Ceph and built monitoring and logging platforms. An end-to-end ML practitioner, he covers data collection, model training, optimization, evaluation, deployment and product integration. He is an active contributor to the widely used pytorch/vision library—adding architectures like RegNet, custom SqueezeExcitation activations, and improvements to model weights, logging and documentation—underscoring a focus on maintainability as well as performance. He holds an M.Eng. from Zhejiang University and blends research rigor with production-focused engineering.
Datasets, Transforms and Models specific to Computer Vision
Role in this project:
ML Engineer
Contributions:42 reviews, 68 commits, 34 PRs in 6 months
Contributions summary:Kai primarily contributed to the development and maintenance of models within the PyTorch vision library. Their work included refactoring existing code, adding new model architectures (like RegNet), and updating model weights for optimal performance. Furthermore, they incorporated features such as custom activation layers in the SqueezeExcitation module, enhancing the flexibility of existing models. They also focused on logging and documentation, which indicates a commitment to model usability and maintainability.
Contributions:57 commits, 2 PRs, 1 push in 2 years 6 months
reactcodeigniteryet-anothertypescriptnextjs
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.