Thanos Papadopoulos

AI Research Engineer at Netradyne

San Diego, California, United States
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Summary

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Thanos Papadopoulos is an AI Research Engineer in San Diego with a PhD in Computer Science and over a decade of experience spanning academia and industry. He has applied deep learning to computer vision, NLP, and signal processing, with a particular interest in computational methods inspired by neuroscience. His recent roles include Applied Scientist at AWS and research-focused engineering at Netradyne, bridging experimental research with production ML systems. Thanos combines rigorous academic training from NYU with hands-on experience deploying models at scale, emphasizing interpretable and brain-informed approaches. He is skilled at translating complex research ideas into practical solutions for real-world sensing and perception problems. Colleagues describe him as a researcher who thoughtfully blends theory, signal-processing intuition, and engineering pragmatism.
code10 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at New York University
bookBachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at National Technical University of Athens
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Github contributions (3)

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Tpap/TNet

Sep 2021 - Jun 2022

Contributions:51 commits, 9 pushes in 9 months
nyu-cs6313-fall2015/Group-4

Dec 2015 - Dec 2015

Contributions:6 pushes in 7 days
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Thanos Papadopoulos - AI Research Engineer at Netradyne