Gaylord Marville is a Computer Vision and Deep Learning Engineer based in Paris with 10 years of experience applying algorithmic and embedded-systems expertise to real-world products. He combines hands-on skills in Python, C++, SQL, MATLAB/Simulink and XML/XSD with a proven track record in Agile teams building perception and autonomy features for industrial and mobility projects. At LTU he focuses on vision and deep learning, while prior roles at ALTEN/Idemia and freelance work involved prototyping, sensor fusion (EKF/UKF, particle filters), MPC/PID controllers and end-to-end autonomous vehicle stacks including ROS and TensorFlow retraining. He also brings an uncommon background in civil engineering and construction oversight, where he led large compliance-driven projects and even developed C++/OpenCV tools for structural disorder classification. Practical, analytically minded and client-focused, he bridges academic autonomy research with production-grade implementation and customer-facing delivery.
10 years of coding experience
3 years of employment as a software developer
Licence, Bureau d'étude et conception technique, Licence, Bureau d'étude et conception technique at Université de Cergy-Pontoise
Engineer's degree, Structural design and control of constructions, Graduated with honours, Engineer's degree, Structural design and control of constructions, Graduated with honours at École Supérieure d'Ingénieurs Paris-Est Marne-la-Vallée, ESIPE.
Contributions:44 pushes, 1 branch in 2 years 7 months
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Gaylord Marville - Computer Vision And Deep Learning Engineer at LTU