Summary
Abdelrahman Abubakr is an AI Team Lead and machine learning engineer with nine years of experience specializing in deep learning, computer vision and robotics, currently based in Tokyo. He leads the Computer Vision sub-team at avatarin, building on-device inference pipelines and practical products like virtual avatars for human–robot interaction and luggage size estimation for airports. His background spans research and industry—from INRIA publications on real-time activity recognition and domain-invariant features to deploying ultra-low-latency models on neuromorphic chips and NVIDIA Jetson edge devices. Abdelrahman combines academic rigor (MSc Grenoble) with hands-on systems work in C++ and embedded inference, and a knack for translating synthetic-to-real domain adaptation research into robust industrial solutions. An interesting thread through his career is turning research ideas (domain randomization, augmented autoencoders) into production features that preserve privacy by processing on-device.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Alexandria University
M2 Master of Science in Informatics at Grenoble (MoSIG), GVR, Computer Science, M2 Master of Science in Informatics at Grenoble (MoSIG), GVR, Computer Science at National School of Computer Science and Applied Mathematics of Grenoble
M1 Master of Science, Computer Vision and Robotics, M1 Master of Science, Computer Vision and Robotics at Université de Bourgogne
Arabic, English