Wassim Filali is an architect and HeadUnit lead at BMW with 14 years’ experience blending robotics, machine learning and complex embedded systems for automotive and industrial applications. He holds a PhD in Machine Learning and Embedded Systems and has led multi-core, multi-OS SoC infrastructure, middleware and high-performance networking projects at Bosch and BMW, with a focus on safety and security. His background in accelerating vision algorithms on FPGA and GPU from LAAS-CNRS informs pragmatic solutions for real-time driver assistance and video systems. Polyglot and internationally connected, he moves comfortably between research and large-scale product engineering, routinely translating academic advances into production-ready automotive platforms. An unusual strength is his track record of spanning low-level drivers and high-level ML perception—bridging hardware design, middleware architecture and in-vehicle networking.
14 years of coding experience
7 years of employment as a software developer
Diplome National d'Ingénieur, Informatique Industrielle et Automatique, Diplome National d'Ingénieur, Informatique Industrielle et Automatique at INSAT
Master 2 Recherche, Réseaux et Systèmes Informatiques Critiques, Master 2 Recherche, Réseaux et Systèmes Informatiques Critiques at Université Paul Sabatier Toulouse III
Doctor of Philosophy - PhD, Machine learning and Embedded Systems, Doctor of Philosophy - PhD, Machine learning and Embedded Systems at Université Toulouse 1 Capitole
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