Shayne Miel

Principal Machine Learning Engineer at Cisco

Durham, North Carolina, United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job15 years of employment as a software developer
bookBachelor 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
bookGraduate Certificate Artificial Intelligence, Graduate Certificate Artificial Intelligence at Stanford University
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Github Skills (86)

python10
music-programming10
risc10
piano10
pip10
lstm-neural-networks10
statistics10
lstm10
sse10
music10
gru10
recurrent10
multi-layer10
installer10
openid10

Programming languages (7)

TeXMakefileJavaScriptGoLuaJupyter NotebookPython

Github contributions (5)

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FragLegs/mrnet

May 2019 - Aug 2019

Trying to replicate/beat the results on https://stanfordmlgroup.github.io/competitions/mrnet/
Contributions:129 commits, 9 pushes in 3 months
duo-labs/sharedsignals

Aug 2021 - Nov 2022

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
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