JoseĀ Bouza
Senior Machine Learning Engineer at Intuitive
Atlanta, Georgia, United States
Summary
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Top SchoolJose Bouza is a Senior Machine Learning Engineer with a decade of experience specializing in medical imaging and computer vision, currently leading ML efforts at Intuitive Surgical in Atlanta. He progressed from research intern to senior engineer at Intuitive, delivering GPU-accelerated image registration solutions that cut runtimes from hours to minutes and enabled large-scale clinical validation. With a strong academic foundation from the University of Florida (MS in Computer Science, dual BS in CS and Mathematics), his research extended convolutional architectures to non-Euclidean domains and produced publications influencing top venues like NeurIPS and CVPR. He also developed widely used computational topology tools (tda-tools) that were adopted into the broader R TDA ecosystem. Comfortable moving ideas from theory to production, Jose combines rigorous math-driven methods with pragmatic software engineering to solve real-world medical imaging problems. Colleagues know him for squeezing massive performance gains from GPU platforms while maintaining clinical-grade validation and reproducibility.
10 years of coding experience
9 years of employment as a software developer
Masters in Computer Science, Masters in Computer Science at University of Florida
Github Skills (64)
python10
machine-learning10
numpy10
normalization10
denoising10
deep-learning10
segmentation10
gpu10
image-registration10
neural-network10
ants9
statistical-learning9
signal-processing9
feature-extraction9
reduction9
Programming languages (3)
Github contributions (5)
jjbouza/tda-tools
May 2018 - Feb 2021
Pipeline used internally for Peter Bubenik's TDA Group at UF.
Contributions:81 commits, 28 pushes, 2 branches in 2 years 9 months
pipelinetda
jjbouza/manifold-net-vision
Jul 2018 - Mar 2021
Contributions:14 commits, 6 pushes in 2 years 8 months
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