Shayne Miel is a Principal Machine Learning Engineer based in Durham, NC with over a decade of hands-on experience designing, building, and shipping production AI systems across education, security, and enterprise domains. He has led teams and architectures that scaled automated essay scoring and feedback to hundreds of millions of predictions and reduced model build times from days to hours, enabling CI/CD for ML. At Turnitin and Measurement Incorporated he bridged research and product, creating repeatable ML lifecycles and massively parallel AWS pipelines; at American Efficient he improved productivity tenfold by modernizing APIs and UX. Most recently at Cisco (and previously Duo Security) he focuses on operationalizing ML at scale, blending engineering rigor with data science craft. Beyond leadership, he’s an engineer who invents practical tools—everything from domain-specific query languages to integrated grammar services—showing a knack for turning research prototypes into reliable production services. He holds a BS in Computer Science & Mathematics from UNC Chapel Hill and a graduate certificate in AI from Stanford, combining strong foundations with applied impact.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science / Mathematics (double major), Bachelor of Science (B.S.) Computer Science / Mathematics (double major) at University of North Carolina at Chapel Hill
Graduate Certificate Artificial Intelligence, Graduate Certificate Artificial Intelligence at Stanford University
Python tools for using OpenID's Shared Signals Framework (including CAEP)
Contributions:15 reviews, 25 commits, 7 PRs in 1 year 2 months
eventspythonopenidpython-toolscaep
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.