Summary
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.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at New York University
Bachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at National Technical University of Athens