Mike Seid

Product Area Tech Lead - Machine Learning Platform

Atlanta, Georgia, United States
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Summary

👤
Senior
🎓
Top School
Mike Seid is a seasoned engineering leader with 14+ years of experience building large-scale machine learning platforms and developer experiences, currently leading the Hendrix ML Platform at Spotify for 300+ practitioners and a 45-person engineering organization. He pairs hands-on product and engineering instincts—dating back to front-end work at NPR and an open-source responsive iframe contribution—with strategic delivery skills honed as a founder and as a manager of enterprise feature-data platforms at Capital One. Mike is fluent in turning complex data and ML infrastructure needs into usable, maintainable platforms that emphasize responsible model production and developer delight. Based in Atlanta, he blends startup grit with enterprise rigor and a playful leadership style that fosters collaboration and fast iteration.
code14 years of coding experience
job16 years of employment as a software developer
bookY Combinator
bookBS Systems Computer Science, BS Systems Computer Science at University of Rochester
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Github Skills (6)

responsive-design10
javascript10
jquery10
gruntjs9
g9
html8

Programming languages (11)

TypeScriptC++ShellColdFusionScalaSCSSJavaScriptElm

Github contributions (5)

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npr/responsiveiframe

Feb 2013 - Sep 2013

Responsive IFrames
Role in this project:
userFront-end Developer
Contributions:8 commits in 6 months
Contributions summary:Mike primarily worked on improving the responsiveness and functionality of the responsive iframe component. Their contributions included adding checks for cross-domain settings, specifically ensuring origin validation for security. They also updated the build process by incorporating the latest grunt version and plugins. Furthermore, the user addressed multiple bugs related to origin validation and typos in the project's metadata.
iframescssjavascriptfont-sizeresponsive
Contributions:7 commits, 3 pushes, 1 branch in 1 day
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Mike Seid - Product Area Tech Lead - Machine Learning Platform