Raul Catena
Computer Vision Engineer at Meta
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolRaul Catena is a computer vision engineer with a decade of experience building production-grade deep learning and 3D rendering systems, currently working on vision problems at Meta from Zurich. His background uniquely bridges wet-lab cancer research and applied ML—he developed high-dimensional imaging pipelines, GPU-accelerated segmentation, and real-time point-cloud models at Leica Geosystems and in academia. Raul ships end-to-end systems across Python, C++, Swift and JS, with production deployments of TensorFlow models in C++ and AR/VR renderers using Metal and SceneKit. He has co-founded mobile startups and built scientific lab platforms, combining product instincts with low-level performance optimization. Notably, his work includes scalable 3D IMC renderers, a log(n) 3D registration algorithm, and practical tooling for turning complex biomedical imaging into usable applications.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Cell/Cellular and Molecular Biology, Doctor of Philosophy (PhD), Cell/Cellular and Molecular Biology at Universidad de Navarra / University of Navarra
Spanish, English, Italian, French, German
Github Skills (14)
applet4
tostring3
python3
machine-learning3
resampling2
qt2
hierarchical2
shell2
bids1
ios1
toolbox1
topography1
connectivity1
bioinformatics1
Programming languages (2)
Github contributions (5)
RaulCatena/histocatplus
Sep 2017 - Apr 2020
Contributions:84 commits, 8 pushes, 1 branch in 2 years 7 months
RaulCatena/opencv
Aug 2019 - Apr 2020
Open Source Computer Vision Library
Contributions:6 pushes, 1 branch in 8 months
pythonvisioncomputer-visionc-plus-plusimage-processing
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