GeorgeĀ Papandreou
Computer Vision Engineer And Manager at Snap Inc.
London, England, United Kingdom
Summary
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Top SchoolGeorge Papandreou is a computer vision engineer and manager with 11 years of experience bridging foundational research and product-grade deep learning systems. He helped pioneer techniques such as atrous (dilated) convolutions and the DeepLab family for semantic segmentation, and his early work introduced perturb-and-MAP methods and the Gumbel-Max trick to ML. As Senior Research Scientist at Google and now leading 3D human perception efforts at Snap while co-founding Ariel AI, he focuses on real-time, mobile-capable image understanding and reconstruction. Based in London with a PhD from NTUA, he combines publication-grade research (see his Google Scholar) with hands-on deployment experience that turns novel dense-prediction ideas into scalable AR and mobile applications.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at National Technical University of Athens
English, Greek, German, Spanish
Github Skills (29)
pytorch10
caffe10
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
temporal-data9
pytorch-lightning9
python-bindings9
raii8
algebra7
Programming languages (3)
Github contributions (5)
gpapan/caffe
Mar 2015 - Jul 2015
Contributions:37 commits, 10 PRs, 21 pushes in 3 months
deep-learningpytorchcaffemachine-learning
TheLegendAli/DeepLab-Context
Dec 2014 - May 2015
Contributions:125 commits in 4 months
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