Summary
Paul Viroonluecha is a data engineer and applied AI scientist with a PhD in Applied Artificial Intelligence in Health Care and eight years of experience building data pipelines, ML systems, and research-driven healthcare solutions. He has moved between research and production roles—publishing influential work on RL-based glucose control and medical imaging while delivering scalable data lakes, recommender systems, and forecasting models in enterprise settings. Currently based in Bellevue, WA, he combines hands-on engineering at the California Department of Health Care Services with practical safety testing experience from a Generative AI Trust & Safety role at Meta. His background spans multidisciplinary domains from robotics and medical training to helicopter maintenance in the Army Reserve, giving him a rare operational perspective on reliability and safety. Equally at home with Tableau/PowerBI dashboards, Hadoop/Spark stacks, and deep learning research, he brings both rigor and product-focus to solving complex data problems.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Business Administration (B.B.A.) Business Computer, Bachelor of Business Administration (B.B.A.) Business Computer at Phitsanulok University
Doctor of Philosophy - PhD Applied Artificial Intelligence in Health Care, Doctor of Philosophy - PhD Applied Artificial Intelligence in Health Care at Universidad Politécnica de Cartagena
Associate's degree General Medicine, Associate's degree General Medicine at Tula State University
Master of Science in IT Data Science, Master of Science in IT Data Science at Thai-Nichi Institute of Technology
Bachelor of Engineering - BE Control in Robotic Systems, Bachelor of Engineering - BE Control in Robotic Systems at Tomsk State University of Control Systems and Radioelectronics
English, Thai, Russian, Spanish, Lao