Vasileios Papadopoulos is a Senior Machine Learning Engineer based in Amsterdam with 8 years of engineering experience and 5+ years focused on deep learning for anti-fraud and digital media forensics. At Sensity he develops production-ready deepfake and spoofing detection models, contributes to the open-source Deepfake Offensive Toolkit, and consults on latent diffusion model applications. His background in systems-level C++/C# engineering across real-time video, device drivers, and multi-threaded backend services gives him a rare blend of ML research and hard-systems production skills. He holds an MSc in Artificial Intelligence and brings a history of deploying low-false-alarm computer vision systems in security and industrial settings. Notably, he moved from building embedded and enterprise software to applying that rigor to robust, scalable ML pipelines for safety-critical fraud detection.
8 years of coding experience
10 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Piraeus
Bachelor of Science Department of Informatics, Bachelor of Science Department of Informatics at Alexander Technological Educational Institute of Thessaloniki
Contributions:3 pushes, 1 branch in 3 years 3 months
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Vasileios Papadopoulos - Senior Machine Learning Engineer at Sensity