Greater Paris Metropolitan Region
I work for Capgmini Invent (which acquired Quantmetry), in the implementation of industrialized solutions combining consulting, architecture, data engineering and Artificial Intelligence. I am a certified Cloud Architect with Analytics and Security specialties (AWS, GCP). About 30 years' experience in the information management in a wide range of domains : technical computing, CRM, Knowledge Management, corporate social network, Web / Mobile and currently BI (Large Data Warehouse Systems, Distributed data, Advanced Analytics and Data Mining, Data Insight and Data Visualization).
Project Fellow for the World Economic Forum in the field of AI Agents. Co-writers of the AI Agents White-Paper: https://www.weforum.org/publications/navigating-the-ai-frontier-a-primer-on-the-evolution-and-impact-of-ai-agents/
As part of my work at Capgemini, I am co-writers of the AI Agents White-Paper: https://www.weforum.org/publications/navigating-the-ai-frontier-a-primer-on-the-evolution-and-impact-of-ai-agents/
ProximityStore (https://proximitystore.com) is a mobile application that connects shoppers with local retailers. The solution is based on a technical foundation powered by AI to: *- categorize products, *- automatically describe the product from its photo, *- find products using a virtual assistant
IT Integration Manager for the migration of the Quantmetry Information System at Capgemini (France / India)
* Director of "La Ruche", where juniors gain experience in science, technology and consulting * 4 supervised promotions for a total of 70 consultants
*- Writing the IT security policy *- Implementation and monitoring of IT security *- Training of new employees *- Review of contracts with customers *- Crisis management
• As a data & Solution Architect, design and implementation an AWS IoT Platform for an International company in renewable energy resources, using serverless components, CI/CD • Design and deploy an IoT Data Platform (Azure) for the European champion in the rail industry • Setting up a data dictionary (semantic layer, ontology) for the AWS Big Data environment of a major health insurance company • Definition of fraud detection use-cases for a major international bank with the help of Big Data and Data Science • Identify data-oriented use cases for a government intelligence center • Numerous responses to calls for tenders (from the study phase to the implementation of the solution, including the definition of the IT stack, integration into the customer's IT system and ML-specific software solutions) covering different areas around Data, for different industries (Including Luxury). • Management of a Data service center (6 FTE) for a major account, including the realization of Data use cases, in production, in agile method