Clay Sheaff
ML Engineer at RapidAI
Davis, California, United States
Summary
👤
Senior🎓
Top SchoolClay Sheaff is an ML engineer and imaging scientist with nine years of experience translating biomedical research into production-ready clinical AI, currently focused on MLOps and CT/deep-learning at RapidAI. Trained to a PhD in biomedical engineering, he blends hands-on hardware and DAQ expertise from ultrasound and photoacoustic systems with Python-first software engineering, Docker/AWS deployment, and model testing practices. He has driven retina image science and deep learning productization at NeuroVision and practical system-level imaging improvements in both academic and medical-device R&D roles. Known for bridging domain-level medical imaging knowledge with pragmatic software delivery, he thrives on small, nimble teams building novel clinical solutions and often brings uncommon measurement- and hardware-grounded insights to ML model development.
9 years of coding experience
12 years of employment as a software developer
PhD Biomedical Engineering, PhD Biomedical Engineering at University of MinnesotaBS Electrical Engineering, BS Electrical Engineering at University of Nebraska-LincolnMS Biomedical Engineering, MS Biomedical Engineering at Northwestern University
English
Stackoverflow
1reputation
367reached
0answers
1question
Github Skills (160)
notebook10
python10
acoustics10
image-processing10
testing10
ipython10
deep-learning10
computer-vision10
pylint10
tomography10
jupyter10
data-science10
ultrasound10
tensorflow10
unit-testing10
Programming languages (10)
Github contributions (5)
csheaff/filt-back-proj
Oct 2016 - Mar 2021
Filtered backprojection in python without explicit use of Radon transform functions
Contributions:23 commits, 3 PRs, 20 pushes in 4 years 5 months
pythontransformtransform-functionsradon-transformradon
csheaff/us-beamform-linarray
Jun 2020 - Jan 2021
Contributions:44 commits, 2 PRs, 69 pushes in 6 months
arraypythonultrasoundlinearbeamforming
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