Summary
Zhenyu Yang is a DevOps engineer and AI-focused researcher with a Ph.D. in Electrical and Computer Engineering and over a decade of hands-on software and systems experience. He blends research-grade deep learning and GPU acceleration expertise from Lenovo with practical AI product delivery—building scalable, cloud-native solutions across GCP, OpenStack, and Kubernetes. His recent work includes deploying LLM-powered chat agents that automated over half of customer inquiries and real-time multi-camera AI systems for skeletal/fall detection at the edge. Comfortable across the full stack, Zhenyu has engineered production ML pipelines, high-accuracy scientific image forensics, and responsive web frontends using Python, Django, TensorFlow, and modern JS frameworks. Based in the Raleigh-Durham area, he uniquely pairs multidisciplinary academic depth (software, CS, EE, optics) with a track record of shipping enterprise and research-driven AI systems. Colleagues rely on him to translate complex AI models into reliable, scalable services that meet product and operational constraints.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.) Software Engineering, Bachelor of Science (B.S.) Software Engineering at Nanjing University
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Dayton
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Saint Joseph's University
English, Chinese