Matthew Dailey
Principal AI Engineer at Dexcom
West Linn, Oregon, United States
Summary
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Senior🎓
Top SchoolMatthew Dailey is a Principal AI Engineer with over a decade of experience building machine learning, deep learning, and signal processing systems across industry and academia. He has led AI research and productization from graduate teaching and robotics research to founding a spinoff and architecting proteomics ML for disease diagnosis. As CTO of an academic AI center and later Principal Software Architect at NGeneBioAI, he bridges rigorous research with production-grade edge and cloud deployments. Now at Dexcom, he focuses on applying AI to medical and biosignal problems, blending domain knowledge in proteomics and vision with robust software architecture. Matthew’s background includes a PhD in Computer Science/Cognitive Science and a history of shipping practical ML solutions across Southeast Asia, which gives him a global, translational perspective on AI for healthcare.
11 years of coding experience
29 years of employment as a software developer
University of California, San DiegoMaster's degree, Computer Science, Master's degree, Computer Science at North Carolina State University
Github Skills (41)
rgb10
stereo10
ros10
mavlink9
autopilot9
px49
drones9
open3d9
3d-reconstruction9
slam9
structure-from-motion9
raspberry-pi8
rover8
expressjs7
nonce7
Programming languages (4)
Github contributions (5)
dsai-asia/ML
Jul 2020 - Aug 2022
Contributions:38 commits, 36 pushes, 1 branch in 2 years 1 month
mdailey/minimal-jwt
Apr 2020 - Dec 2022
Minimal example of how to use NodeJS, Express, and JWT for authentication in a SPA
Contributions:15 commits, 4 PRs, 13 pushes in 2 years 8 months
authorizationexpressjsminimal-exampleauthenticationexpress
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