Regina Wang is a machine learning engineer with 11 years of experience bridging research and production across industry and academia, currently advancing ML systems at Netflix. She holds a BS in Computer Science from UC Berkeley and is pursuing an MS in Computer Science at Stanford, where she taught grad courses in NLP and deep RL and incorporated ethics into CS224N. Her work spans robot perception and human-robot interaction to large-scale AI platform and model lifecycle engineering, with a history of moving transformer-based research into production for warehouse robotics. Regina blends hands-on software and research skills—full-stack ML development, model management, and literature-driven innovation—with a persistent interest in AI safety, psychology, and education. Notably, she has clinical neuroimaging research experience and has taught foundational AI and programming courses to large cohorts, reflecting an unusual mix of technical depth and human-centered perspective. Based in San Francisco, she actively seeks community connections and collaboration across AI safety and HRI domains.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley
Arcadia High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford 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
Regina Wang - Machine Learning Engineer at Netflix