Yingbei Tong is a Senior Staff Machine Learning Engineer based in California with a decade of experience building and operationalizing ML systems across startups and enterprise teams. He has deep hands-on expertise in LLM training and fine-tuning, classical ML pipelines, and Python data-science libraries, and has repeatedly delivered production services using Kubernetes, Docker, Kafka, and cloud-native microservices. His career spans roles at NVIDIA, Obot AI, Rancher Labs, and IBM—where he led development of a Log Anomaly Detection component for Watson AIOps—demonstrating strength in both research-driven modeling and scalable deployment. Colleagues describe him as a pragmatic engineer who bridges model development and infrastructure, and his Github bio, "The fool who dreams," hints at a creative drive that propels practical innovation.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Iowa State University
Bachelor of Science (BS) Computer Science and Technology, Bachelor of Science (BS) Computer Science and Technology at Fudan University
Contributions:337 pushes, 140 branches in 9 months
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