Matthew Dailey

Principal AI Engineer at Dexcom

West Linn, Oregon, United States
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Summary

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Senior
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Top School
Matthew 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.
code11 years of coding experience
job29 years of employment as a software developer
bookUniversity of California, San Diego
bookMaster's degree, Computer Science, Master's degree, Computer Science at North Carolina State University
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Github Skills (28)

ros10
drones9
slam9
deep-learning8
machine-learning8
px48
nonce8
mavlink8
autopilot8
qgroundcontrol7
computer-vision7
signature6
authentication6
oauth5
nodejs5

Programming languages (5)

C++TeXJavaScriptJupyter NotebookPython

Github contributions (5)

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dsai-asia/RTML

Jan 2021 - Feb 2023

Deep Learning (a.k.a. Recent Trends in Machine Learning) course at dsai.asia
Contributions:88 commits, 4 PRs, 87 pushes in 2 years 1 month
deep-learningmachine-learning
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
authenticationjwtnodejs
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