Summary
Gaetan Bahl is a Principal Software Engineer specializing in embedded computer vision and deep learning, with 11 years of experience bridging research and production for edge AI. He holds a PhD in Computer Science and has progressed from PhD research at Inria to leading machine vision efforts at NXP Semiconductors, focusing on efficient vision pipelines and deployment on constrained hardware. Gaetan combines rigorous mathematical training with hands-on firmware and systems experience gained at ARM, Airbus and industry R&D, enabling practical optimizations for real-time, low-power inference. He also teaches temporarily at Université Côte d'Azur, keeping close ties to academia and mentoring the next generation of vision engineers. Passionate about robotics and autonomy, he is adept at turning novel research into robust embedded solutions. An avid pianist in his youth, he brings the same discipline and attention to detail to building performant AI for the edge.
11 years of coding experience
6 years of employment as a software developer
Engineering Degree Computer Science and Applied Mathematics, Engineering Degree Computer Science and Applied Mathematics at National School of Computer Science and Applied Mathematics of Grenoble
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Côte d'Azur
Cycle d'Orientation Amateur Piano Musique, Cycle d'Orientation Amateur Piano Musique at Conservatoire de Strasbourg
Classe préparatoire MPSI/MP, Classe préparatoire MPSI/MP at Lycée Kléber
Master of Science in Industrial and Applied Mathematics (MSIAM) Applied Mathematics, Master of Science in Industrial and Applied Mathematics (MSIAM) Applied Mathematics at Université Grenoble Alpes
English, French, German