Cheng-yu Chung is a machine learning engineer with 11 years of software development and DevOps experience, currently studying Computational Data Science at Carnegie Mellon and working at TikTok. He blends academic rigor—researching safety-critical scenario generation for autonomous driving and improving CVPR-method training efficiency—with practical production impact, such as building LLM autonomous agents and multimodal diagnostics at ASML that boosted recovery efficiency and throughput. His background includes hands-on RL and distributional-RL research, teaching deep learning systems and AI courses, and deploying chatbots and HoloLens fixes at Microsoft, demonstrating a rare mix of research, teaching, and product delivery. Based in California, he focuses on scalable ML systems and observability, often optimizing resource use (e.g., 20x LLM endpoint throughput with half the GPU memory). Colleagues value his ability to turn simulation-based research into deployable prototypes that surface real-world anomalies and speed engineer workflows.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at National Chiao Tung University
Master of Science - MS Computational Data Science, Master of Science - MS Computational Data Science at Carnegie Mellon University
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.
Request Free Trial
Cheng-yu Chung - Machine Learning Engineer at TikTok