Chih-kai Ting is a machine learning engineer and MS NLP candidate at UC Santa Cruz with nine years of software engineering experience spanning full-stack, DevOps, and production ML systems. Currently at Zoom, he applies practical NLP and engineering skills to deploy robust ML pipelines informed by hands-on work with PyTorch, scikit-learn, and cloud-native tooling. His background includes building motion-detection filters that cut API overhead by ~95% and developing CI/CD, Kubernetes, and ETL solutions that bridge research models to scalable services. Comfortable across languages and stacks—from Go, Node.js, and Vue to Docker and AWS EKS—he brings both product-focused engineering and research-informed modeling to projects. As a former student ambassador and polyglot developer, he pairs strong collaboration skills with a knack for automating tedious workflows. He’s particularly adept at turning prototype ML models into cost-effective, production-ready components that reduce operational load.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Natural Language Processing, 3.91/4.0, Master of Science - MS, Natural Language Processing, 3.91/4.0 at UC Santa Cruz Natural Language Processing Master's Program
Bachelor of Business Administration - BBA, Management In Information System, Bachelor of Business Administration - BBA, Management In Information System at 國立中興大學
One year study of Master of Science - MS, Computer Science, One year study of Master of Science - MS, Computer Science at University of California, Riverside
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