Summary
Zidong Y is a software engineer and data scientist with 11 years of experience building scalable data processing, statistical models, and machine learning systems across high-growth and enterprise environments. He has applied ML and analytics in production roles at Apple, DoorDash, and Splunk, and most recently moved into AI-focused engineering at Observe before joining Snowflake in San Francisco. His background bridges rigorous academic training—a PhD in Mechanical and Aerospace Engineering—with hands-on applied science, giving him a knack for turning complex research ideas into robust, production-ready pipelines. Comfortable across the stack, he specializes in large-scale data workflows and novel preprocessing techniques that improve model reliability in noisy, real-world datasets. Colleagues rely on him to translate ambiguous problems into measurable engineering solutions that scale.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical and Aerospace Engineering, Doctor of Philosophy (Ph.D.) Mechanical and Aerospace Engineering at The George Washington University
Bachelor's Degree Mechanical Engineering, Bachelor's Degree Mechanical Engineering at Huazhong University of Science and Technology
Mechanical and Industrial Engineering, Mechanical and Industrial Engineering at Ecole nationale d'Ingénieurs de Metz
Chinese, English