À propos de Gregory
26 years of experience in developing AI-driven applications, spanning various domains such as Computer Vision, Language, Audio, IoT, and Finance. I have accumulated experience across all phases of AI development: data creation and collection, applied research on features, models, validation, scalability of MLOps, and product deployment for embedded systems, mobile, or full-stack cloud solutions.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 10 km), Lyon (jusqu’à 10 km), Lille (jusqu’à 20 km), Grenoble (jusqu’à 10 km)
Expériences
- ADEOSenior Data scientistjanvier 2025 - Aujourd'hui (1 an et 5 mois)Lille, FranceDevelopment of GenAI Solutions based on RAG: Product categorization,customer service chatbots, industrialization, and scaling.Data Extraction with Multimodal LLMs: processed and extracted productspecifications from images and PDFs.Methodologies: Agile Scrum.Tools: Python, GCP, Vertex AI, Gemini, LangChain, FAISS, LangGraph,OpenSearch, PostgreSQL, BigQuery, GitHub CI/CD, FastAPI, Docker, Kubernetes.
- CHANELLead Data scientistLUXEjuillet 2023 - septembre 2024 (1 an et 3 mois)Paris, FranceDevelopment of a visual defect detection system: For complex and multiple visual defects on industrial assets, trained with a reduced number of examples using vision models associated with Large Language Models (LLMs).Development of a generative artificial intelligence for visual conceptualization: This solution is designed to generate images from textual prompts, dedicated to internal use and fully secure. It offers quality comparable to Midjourney, and is specifically adapted for the cosmetics sector to facilitate visual conceptualization during product brainstorming sessions.Development of a Vector Artwork Document Comparator (PDF): Used by professionals before the printing of secondary packaging to detect erroneous regulatory texts or logos.Project Leadership:
- Sales Prediction: Utilizing time series and LLM for predictive analysis and anticipating sales trends.
- Semantic Search: Developing semantic search features on document databases using LLM (RAG).
- ChatBot Architecture and Scalability: Designing and enhancing the architecture and scalability of ChatBot solutions incorporating LLM.
Providing training in Azure, AI, and MLOps.Technical Recruitment in AI. - Groupe RATPData ScientistTRANSPORTSmai 2022 - juin 2023 (1 an et 2 mois)Paris, FranceDevelopment of the Passenger Detection System at the Terminus of Metro Line 14: Deployment at the Centralized Control Station (CCS) of Line 14 to assist operators in visually verifying the complete evacuation of the trains. The accuracy achieved is comparable to that of a human expert, promoting rapid adoption by professionals to perform checks every 2 minutes on 16 cameras.Development of the High-Density People Counting System: Development of a counting system capable of handling over 800 images per second per GPU, with 98% accuracy in conditions of dense crowds. This system helps to adjust train frequencies in real time during major events such as Covid or Paris 2024.
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Formations
- Engineer's Degree, Advanced Engineering School in Electronic & Optical Processes, Signals & images specializationPolytech Orléans (France)1997Engineer's Degree, Advanced Engineering School in Electronic & Optical Processes, Signals & images specialization