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Experiencia
- L'Oréal SA - L'Oréal FranceLead AI EngineerLUJOjunio de 2025 - Hoy (1 año)Paris, FranciaTeam leadBuilding Agentic workflows for departments leveraging multiple data sources from different connectors (Confluence, Sharepoint, Postgresql).Developing MCPs and data pipelines and scalable document ingestion systems using event driven architecture and cloud run services and jobs.Keywords: AI Agents, MCPs, Data Pipelines, Airflow, Python, Typescript, React, Langchain, Terraform, Google ADK, Agent Engine, VertexAI
- GLOVOStaff Applied ScientistENTRETENIMIENTO & TIEMPO LIBREenero de 2025 - junio de 2025 (5 meses)Barcelone, EspañaLead a team focused on whole page personalization & content ranking to improve UX / CVR and Revenue.• Modeled user behavior and carousel performance and rolled out worldwide AB experiments with 3% increase in CVR and Rev.• Applied causal inference to model attribution and optimize filters ranking.Keywords: Multi-armed bandits, Scalable Recommendation systems, Data Modeling, Machine Learning, MLOps
- ISDINSenior AI EngineerINDUSTRIA FARMACÉUTICAnoviembre de 2024 - febrero de 2025 (3 meses)Barcelone, EspañaBuilt an in-app Conversational Skin Care Shopping Assistant with some smart folks leveraging an Agentic design.Agentic design leveraging tool calls with langchain and openai and anthropic. Usage of Knowledge graphs (Neo4j) as well.• Deployed in ISDIN mobile apps in ES, USA & LATAM.Keywords: Python, AWS, FastAPI, LangChain, LangGraph, SQL, DynamoDB, Retrieval Augmented Generation (RAG)
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Formación
- Master of Science in « Random Modeling and Quantitative Finance» (DEA Laure Elie)ENSAE/CentraleSupelec/Paris72018Top French International Master's program (Taught in English) in Quantitative Finance and Data Science.)
- Diplôme de Grande Ecole with Major in Applied Mathematics and Data ScienceEcole Centrale Lille2017Engineering and management