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Description

Senior AI/ML & GenAI Engineer with 6 years of expertise in critical industrial environments (Imerys, Michelin).

Specialist in Generative AI (RAG, LLM Fine-tuning via Bedrock/LangChain) and Computer Vision.

I secure the industrialization of your models through total MLOps mastery: Terraform, CI/CD, and Docker.

Rare dual expertise: algorithmic rigor (Research) and deployment of scalable Cloud pipelines (AWS/Azure).

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lyon (up to 50km)

Imerys (Opérations Industrielles).
Senior Data Scientist & Tech Lead
May 2022 - Today (4 years and 1 month)
⋄
AI Strategy & Industrialization Leadership (POC to Scale)
• • Data Strategy: Implementation of robust IoT/OT ingestion pipelines to
guarantee data availability.
• • MLOps Platform: Automation of the model lifecycle (CI/CD, Monitoring)
via a scalable architecture.
• • Process Analysis: Identification of industrial bottlenecks to
prioritize high-ROI use cases.
Process Impact & AI Achievements
• • Maintenance Assistant (GenAI/IoT): Fine-tuning of an LLM coupled with
vibratory sensors for predictive diagnostics and decision support.
◦ - Impact: Improvement of (50% anticipated)
Amazon Web Services Computer Vision Industry 4.0 MLOps Docker
Michelin (Mobilité Connectée).
Data Scientist / Data Engineer
AUTOMOBILE
March 2020 - April 2022 (2 years and 1 month)
Clermont-Ferrand, France
⋄ Context: Massive IoT (30M vehicles) | Stack: Azure, PySpark, Databricks
IoT Data Valorization: Processing massive data streams to
develop global road safety and predictive maintenance indicators.
Legacy Transformation: Contribution to the modernization of the Data
architecture, facilitating access to historical data for new business applications.
Data Quality: Implementation of robust cleaning pipelines (PySpark)
to ensure regulatory compliance of the analyses produced.
Microsoft Azure Azure Data Factory Databricks Snowflake SQL
Laboratoire LIMOS.
Research Data Engineer (Deep Learning)
March 2019 - March 2020 (1 year)
Advanced R&D: Research on Bayesian Deep Learning for uncertainty estimation in predictive models (decision support in uncertain contexts).
Bayesian Inference Anomaly Detection Applied Mathematics Python Fast API