Michael Ouyang
VP Of Applied Artificial Intelligence at Eloquent AI
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolMichael Ouyang is a VP of Applied Artificial Intelligence with 11+ years delivering production AI and search systems from startup roots to enterprise scale in the San Francisco Bay Area. He architects conversational AI roadmaps and scalable NLU pipelines, driving fast deployment cycles and continuous model refinement while translating technical progress into domain-specific presentations and white papers. Earlier roles include designing semantic search and recommendation systems at Elastic and hands-on server- and client-side engineering across .NET, Java, C++, Python, and Lisp dating back to AI research work at UMass Amherst. He thrives in small, mission-driven teams and enjoys interactive programming with Clojure, reflecting a taste for expressive languages and tooling that augment human capabilities. Michael’s background blends deep implementation experience with product-focused AI delivery, making him adept at bridging research, engineering, and business needs.
11 years of coding experience
20 years of employment as a software developer
M.S, Computer Science, M.S, Computer Science at San José State University
Chinese, Japanese, EnglishGithub contributions (5)
Zeleo/recurrence-expression
Jun 2015 - Nov 2016
Contributions:3 releases, 35 pushes, 3 tags in 1 year 5 months
michi-oshima/emacsconf
Aug 2017 - Jul 2022
Contributions:39 pushes, 7 branches in 4 years 11 months
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