About Simon
- LLM & Generative AI : Design and deployment of solutions based on large language models (OpenAI, Anthropic, Mistral).
- MLOps & Industrialization : Production deployment (CI/CD for ML), model monitoring, and ensuring the scalability of your AI infrastructures.
- End-to-End Data Science : Management of complete data projects, from data cleaning to the delivery of a finished product incorporating Machine Learning.
- ++8 years in development of data science projects in a professional environment
- ++6 years in the production deployment of machine learning models for renowned companies, including internationally.
- ++4 years in applied R&D in the Data Science sector
French
Native or bilingual
English
Fluent
Experience
- CHANELAI EngineerTECHApril 2024 - July 2025 (1 year and 2 months)Paris, FranceGenAI Production: Industrialized and deployed a secure internal chatbot utilizing Guardrails, serving ~10,000 employees.RAG Architecture: Designed pipelines for Retrieval-Augmented Generation (RAG) integrated with Knowledge Graphs and Vector Databases to maximize retrieval precision.Model Optimization: Fine-tuned LLMs and developed advanced NLP solutions on Azure AI.Technical Leadership: Coordinated multidisciplinary teams and led technological watch on the evolving GenAI ecosystem.
- CKDelta (Hutchison Group)Senior Data Scientist | ML EngineerOctober 2022 - January 2024 (1 year and 3 months)Dublin, IrelandUK Power Networks (GenAI): Built an end-to-end email processing system using Azure OpenAI and Llama2 for classification, sentiment analysis, and automated response drafting. Developed a RAG chatbot connecting technical documentation to database queries.Northern Gas Networks: Deployed a predictive maintenance recommendation system for gas network syphons using Neo4j graph modeling, validated by field efficiency gains.Hutchison Ports: Optimized container flows and truck scheduling via predictive modeling on Databricks.
- TotalEnergies TOTSAData ScientistENERGY AND UTILITIESMarch 2021 - September 2022 (1 year and 6 months)Paris, FranceOneCBM Platform: Managed the end-to-end ML lifecycle (training, deployment, monitoring) for an industrial FPSO monitoring solution.MLOps Implementation: Established CI/CD pipelines and model tracking using MLFlow.Data Engineering: Implemented daily batch processing pipelines using Spark for massive dataset handling.R&D (Data Studio): Delivered 9+ PoCs including predictive maintenance, supply chain optimization, and dynamic pricing.
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Education
- MSc, Applied Mathematics, Data ScienceÉcole Polytechnique2017MSc, Applied Mathematics, Data Science
- Master of ScienceUniversité Paris-Saclay2016MSc, Applied Mathematics
Certifications
- AWS Certified Machine Learning SpecialtyPearson Vue2020
- Databricks Certified Machine Learning AssociatePearson Vue2023