Freelancer profile translated to English.
Back to original languageAbout Godefroy
Engineer and data scientist, with a strong appetite for generative AI and NLP. With experience in banking and public service, I am driven by the desire to put technology and innovation at the service of businesses.
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- 1POINT6Data scientist - AI engineerBANKING AND INSURANCEMay 2025 - Today (1 year and 1 month)Automation of the KYC (Know Your Customer) process: processing of text and image data (OCR, VLM), extraction of information from documents from more than ten different countries with 90% accuracy (LLM, NER, regular expressions).Work on document fraud detection.Development of an agent capable of learning database structures and automating the generation of DBT queries to optimize data processing and analysis.
- Ministère de l'économieData ScientistPUBLIC SECTORJanuary 2024 - January 2025 (1 year)Paris, FranceWork on language models (LLMs)- Use case 1: Deployment of a RAG (Retrieval-Augmented Generation) model. This project included the implementation of embedding models, LLMs, and chunking management to process large volumes of data.- Use case 2: Deployment of an LLM for document summarization. Use of advanced approaches like MapReduce and Refine to handle large volumes of data.- Definition of business needs, technological watch in a rapidly evolving environment, evolution of a product from POC to production.
- BGL BNP ParibasData production internBANKING AND INSURANCEJune 2023 - November 2023 (5 months)LuxembourgIT - open, Web & Monitoring Platform- Implementation of intelligent alerts (machine learning) applied to logs via ElasticSearch for infrastructure monitoring.- Anomaly detection on Linux machines based on certain metrics (CPU, disk I/O, memory).- Anomaly detection on the reverse proxy (ISAM) to identify an abnormal number of connections or system slowdowns.
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Education
- Master of applied mathematics and data scienceIP Paris, École Polytechnique – Télécom Paris2023Master de recherche - GPA 3.5/4 Deep Learning - Optimisation - Computer Vision (CNN, filtre) - NLP - Structured learning (Graph learning) - Reinforcement learning - Projet en partenariat avec Scibids Technology : une entreprise AdTech | Sujet : Amélioration des performances d'une régression logistique pour prédire les interactions des utilisateurs grâce à l'échantillonnage et à la pondération (projet de fin d'études, matrice creuse) - Analyse et expérimentation avec le jeu Othello de l'article de recherche "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" - Structured learning : Mise en œuvre de l'article de recherche "Diffusion Improves Graph Learning" avec PyTorch Geometric et from scratch - Projet de flux de données : Prédiction en temps réel des indices boursiers (CAC40, SP500) à l'aide des modèles de série temporelle (Arima) et de modèles de machine learning en temps réel (Linear R, Kafka & River)
- Engineer in data and AIISEP2023Master d'ingénieur - GPA 3.7/4 Algorithmes et programmation avancée - Statistiques et probabilités - Machine learning - Méthodes et outils pour la BI