About Pablo
French
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- AndCo SolutionsData ScientistTRANSPORTATIONNovember 2025 - February 2026 (3 months)Aix-en-Provence, France𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Logistics & Transport Sector𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀: Building an On-Premise application with AI functionalities for automatic document processing, automatic information extraction, and data injection into the IS.𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀:➜ Building and annotating the complete dataset.➜ Benchmarking LLM models across the entire scope.➜ Building a robust and asynchronous API.➜ Developing an application embedding AI functionalities -- including Authentication, SSO, etc...𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁:6 document types and 20 fields processed, Average overall extraction accuracy of 90% across the entire scope.𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Python, Django, FastAPI, Gitlab, HuggingFace, Docker
- Caisses sociales de MonacoData ScientistPUBLIC SECTORJune 2025 - October 2025 (4 months)Marseille, France𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Social and Health Sector𝗢𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀: Automatic information extraction from documentary corpus using AI. Delivery of a robust and asynchronous API under hardware infrastructure constraints.𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀:➜ Building and annotating the complete dataset.➜ Benchmarking LLM models across the entire scope. (Under performance and future integration constraints within the client's infrastructure)➜ Building a robust and asynchronous API.➜ Containerization and orchestration of the application.➜ API load testing and monitoring
- NEXTRALead Data Scientist & Tech LeadCONSULTING AND AUDITSJanuary 2022 - April 2025 (3 years and 3 months)Marseille, FranceMy main missions:[Chanel Parfum & Beauté]➜ Design and development of an AI solution for HR assistance based on NLP➜ Architecture and deployment of an advanced conversational agent for HR interviews➜ Development of ML algorithms for automated CV analysis and profile matching➜ Implementation of a specialized generative AI on Azure ML for the HR domain𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁: Time saving for recruiters, matching the best CVs based on a job description𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Python, GenAI, Docker, Azure ML, NLP, LLM[NHIndustrie]➜ Technical leadership of an innovative intelligent automation project➜ Design of an end-to-end automatic document processing solution➜ Implementation of an advanced NLP model for complex entity extraction➜ Setup of a robust CI/CD architecture (GitLab/Nexus)𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁: 90% of information correctly extracted via AI. Productivity gain for the accounting team, automatic invoice entry and integration into SAP.𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Python, Django, Docker, Nginx, Gitlab CI, Redis, HTML, CSS, JS[CMA CGM]➜ Technical leadership of a time series forecasting project➜ Gathering business needs, data, and defining business KPIs.➜ Building ETL components for data ingestion and processing➜ Training and deploying forecasting models𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Python, Dataiku, Darts, SQL[Internal R&D Work]➜ Coaching the team and developing a proprietary NLP solution➜ Technical referent for the team, composed of 6 data scientists. Code reviews and internal project management.
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Education
- Engineering degree in AI – Data Processing and AnalysisENSAI2016Diplôme d'ingénieur en IA – Traitement et analyse des données
- Scientific BaccalaureateLycée Honoré Daumier2011Baccalauréat scientifique