Summary
Mitchell Owen is a machine learning engineer with 11 years of experience applying mathematical rigor to real-world AI products, most recently as a software engineer at Google and previously as a data scientist at Samsung SDS. He blends a PhD-level mathematics background with hands-on experience designing auto-graded programming exercises and educational games, reflecting a long-standing commitment to improving how people learn math and computing. His work spans experimental data modeling, deep learning, and course design—bringing research on privacy, interpretability, and ethical ML into practical workflows. Based in Sunnyvale, he emphasizes transparency, consent, and human-centered design in ML systems and seeks to pair research with interactive dissemination. An understated strength is his history of turning complex theoretical material into engaging, automatically assessable learning experiences that scale.
11 years of coding experience
8 years of employment as a software developer
University of California Santa Cruz
Arcata High
English, Spanish, Japanese