Summary
Jonathan Loriette is a Tech & AI Manager based in Lille with nearly a decade of experience building machine learning and computer vision solutions for consumer products across luxury, automotive, and audio sectors. At CHANEL he architected end-to-end on-device AI pipelines—shipping a global Lipscanner app and real-time AR video filters—and holds a granted patent for color recognition technology. He combines hands-on model design (custom CNNs, lightweight edge models) with cloud and MLOps engineering (Azure, AKS, CI/CD) and practical deployment skills for mobile and browser runtimes (Core ML, TensorFlow.js). Previously he led cross-disciplinary hardware-software programs at Parrot, shipping award-winning Bluetooth products and managing industrialization, which gives him rare fluency between embedded systems and modern ML stacks. He also teaches applied AI, emphasizing deployable solutions, and has a formal background in computer science and digital signal processing, enabling him to bridge research, product, and manufacturing constraints.
9 years of coding experience
10 years of employment as a software developer
Master of Science, Digital Signal Processing, Master of Science, Digital Signal Processing at Université Polytechnique Hauts-de-France
IG2I - Master of Science, Computer Science & Electronics, IG2I - Master of Science, Computer Science & Electronics at Centrale Lille
English, French, Chinese