Mohamed Bouallegue is a skilled software engineer with a diverse background in machine learning and computer vision, currently contributing to Flouci (by Kaoun) since July 2023. Previously, Bouallegue worked as a machine learning engineer at the Laboratory of Advanced Technologies for Medicine and Signal (ATMS), where research focused on controlling robot arms via EEG signals, culminating in the development of deep learning models for this purpose. As a computer vision engineer at ALGOCOD, Bouallegue developed and deployed an object detection model for logistics applications, enhancing performance by optimizing resource usage. Other experiences include roles as a data scientist and embedded software engineer, showcasing a solid foundation in software and system development. Mohamed Bouallegue holds a degree in software engineering and a degree in electronics, along with a Baccalauréat in mathematics.
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