Yemeen Ayub
Research Associate
Richmond, Virginia, United States
Summary
👤
Senior🎓
Top SchoolYemeen Ayub is a research-focused machine learning engineer and mathematician with a decade of experience blending geometric ML methods, programming, and graphic design to extract structure from complex data. Currently a Research Associate at Michigan State University after roles at Width.ai and George Mason University, he holds a PhD in Mathematics and applies rigorous theoretical tools to practical ML problems. His work bridges academic research and industry practice, with projects showcased at Yemeen.com that highlight a blend of visualization and geometric insight. Based in Richmond, VA, he brings an uncommon combination of applied physics intuition and design sensibility to model interpretation and data representation.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Applied Physics, Bachelor of Science - BS, Mathematics and Applied Physics at Christopher Newport UniversityDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at George Mason University
Github Skills (80)
google-drive-api9
docker-desktop8
speech8
partial8
tinder7
timestamps7
speech-to-text7
api6
rest6
whisper6
speech-recognition6
asr6
rest-api5
hammerspoon5
lua5
Programming languages (9)
Github contributions (5)
Yemeen/Arxiv-Generator
Mar 2018 - Mar 2018
Contributions:11 commits, 2 pushes in 1 day
Yemeen/Kindling
Apr 2018 - Oct 2019
Contributions:20 commits, 2 PRs, 16 pushes in 1 year 5 months
deep-learningneural-networksmachine-learningneural-networktinder
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