Jonathan Loriette
Tech & Ai Manager @CHANEL
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WORK HISTORY
Tech & Ai Manager @CHANEL
Leading AI and technology innovation initiatives, managing cross-functional teams to deliver machine learning solutions at scale for a global luxury brand.Key Achievements- CHANEL Lipscanner Mobile App: Architected complete AI pipeline featuring real-time color recognition using deep learning models optimized for mobile deployment + Developed custom CNN architecture for lip detection and color matching + Optimized models for on-device inference on iOS (Core ML)+ Patent granted: EP40•••04B1 for innovative color recognition technology + App launched globally- Real-Time AR Video Filters (Web & Mobile):+ Developed a browser-based and mobile-compatible machine learning system running fully on-device (no backend dependency)+ Enabled real-time video stream processing with dynamic AI-powered filters (TensorFlow.js / CoreML / Three.js)+ Designed lightweight, efficient models for edge inference + Patent filed for real-time AI video augmentation technology- AI Agents & Natural Language Interfaces:+ Designed and deployed intelligent AI agents enabling natural language querying of structured databases + Leveraged LLMs and retrieval-augmented generation (RAG) for enterprise data access + Built conversational interfaces improving data accessibility and decision-making- Cloud & MLOps Engineering (Microsoft Azure):+ Led deployment of ML and AI solutions on Microsoft Azure (Azure ML, AKS)+ Implemented CI/CD pipelines for ML workflows (model training, validation, deployment)
EDUCATION
Université Polytechnique Hauts-de-France
Master of Science, Digital Signal Processing
Centrale Lille
IG2I - Master of Science, Computer Science & Electronics
ABOUT JONATHAN LORIETTE
AI and technology leader with over 10 years of expertise in machine learning, computer vision, and connected consumer products across luxury, automotive, and audio industries.
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