Summary
Yong Cheng is a Director of Engineering with 7 years of industry experience and a strong PhD-backed foundation in mathematical optimization and distributed systems. He specializes in Python and PyTorch for large-scale model training and inference, with deep hands-on expertise across Nvidia, AMD, and Huawei NPUs and production ML infra including serverless GPU and ML cloud platforms. His career spans research and engineering roles at Bell Labs, Huawei, WeBank, Tencent, and now Video Rebirth, where he has repeatedly delivered federated learning and distributed deep learning systems at scale. Comfortable bridging research and production, he combines algorithmic rigor from his academic work with practical ML Sys DevOps to optimize performance across heterogeneous hardware. An often-overlooked strength is his cross-vendor hardware fluency, enabling cost- and performance-aware deployments of LLM and DiT models in real-world platforms.
6 years of coding experience
16 years of employment as a software developer
B.Eng. in Information Science and Electronic Engineering Wireless Communication Systems, B.Eng. in Information Science and Electronic Engineering Wireless Communication Systems at Zhejiang University
Technischen Universität Darmstadt
Hong Kong University of Science and Technology (HKUST)
English, Chinese, German