Mohsen Naji

Staff Algorithm Engineer at Dexcom

Mission Viejo, California, United States
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Summary

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Senior
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Top School
Mohsen Naji is a Staff Algorithm Engineer with 8 years of experience building real-time signal processing and machine learning algorithms for physiological sensing and wearable health devices. He has deep domain expertise across EEG, ECG, EMG, PPG, SCG, speckle plethysmography, short-wave IR spectroscopy and CGM, and a track record of deploying models from Python into embedded C for commercial products. At Dexcom he contributes to the G7 CGM algorithm and previously led CNIBP, blood-pressure and hydration algorithm efforts at Sotera and Rockley, respectively, demonstrating end-to-end ownership from cloud analysis to on-device implementation and SQA. His background includes postdoctoral research in sleep-related cardiac and brain signal analysis, giving him a strong foundation in physiology-driven algorithm design. Known for translating large clinical datasets into robust, regulatory-ready algorithms, he combines academic rigor with product-focused pragmatism. Based in Mission Viejo, CA, he is passionate about applying advanced sensing to improve global health outcomes.
code8 years of coding experience
job8 years of employment as a software developer
bookUniversity of California, San Diego
bookDoctor of Philosophy (PhD) Biomedical Engineering, Doctor of Philosophy (PhD) Biomedical Engineering at SRBIAU
bookMiddle and High school, Middle and High school at National Organization for Development of Exceptional Talents (Sampad)
languagesPersian, English
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Github Skills (6)

signal-processing6
wavelet-transform6
image-processing6
wavelet5
python4
pywavelets1

Programming languages (2)

PythonMatlab

Github contributions (5)

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MednickLab/MohsenCodes

Sep 2018 - Sep 2020

Contributions:2 PRs, 32 pushes, 2 branches in 2 years 1 month
mohsenbme/sleepHRV

Sep 2017 - Jan 2019

Contributions:2 PRs, 7 pushes, 2 branches in 1 year 4 months
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Mohsen Naji - Staff Algorithm Engineer at Dexcom