Michael Hays

Google - Applied Research Augmented Reality

Las Vegas, Nevada, United States
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Summary

👤
Senior
🎓
Top School
Michael Hays is a senior applied-research software engineer with 13+ years building production-grade AR/ML systems at Google, where he designs and ships MediaPipe components for pose estimation, face meshes, segmentation and 3D tracking that power products from Meet to Lens and Waymo. He blends deep AI and graphics expertise—spanning neural nets, C++ runtime architecture, WASM browser deployments, and creative IDEs—to make complex computer-vision tech accessible to creatives and third-party developers. Earlier work ranges from ontological reasoning and large-scale data federation to smooth mobile graphics and real-time security analytics, reflecting a rare mix of semantic AI and visual systems design. Based in Las Vegas, he’s moved from research into CoreML to help standardize AR building blocks, and he’s known for pushing research into hands-on demos and developer-friendly APIs. A lifelong science-fiction enthusiast, he intentionally builds technology that amplifies human perception while keeping aesthetics and emotional design front and center.
code13 years of coding experience
job11 years of employment as a software developer
bookBachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at Virginia Tech
bookBachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at University of Central Florida
languagesEnglish
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Github Skills (33)

typescript10
grunt-task10
calculator9
base649
computer-vision8
android8
converting8
compress7
strings7
data-uri7
video-processing7
audio-processing7
machine-learning7
inference7
uri7

Programming languages (3)

TypeScriptC++JavaScript

Github contributions (5)

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Contributions:16 commits in 5 days
gruntnodejsimagegrunt-task
The repository for high quality TypeScript type definitions.
Contributions:1 push, 2 branches in 17 days
type-definitionshigh-qualitydefinitionstypescriptquality
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Michael Hays - Google - Applied Research Augmented Reality