Freelancer profile translated to English.

Description

Senior Data & AI Engineer with over 15 years of experience in designing data platforms, data modeling, and industrializing artificial intelligence solutions.

Expertise in machine learning, complex systems simulation, and AI agent development (LLM, RAG, Agentic AI) to leverage enterprise data in natural language.

Technical leadership skills: managing and upskilling data teams, defining best practices for architecture and development, technical support, and participation in recruitment.

Experience with major industrial groups such as TotalEnergies, Safran, GE Grid Solutions, Thales, Eurocontrol, Alstom, RATP, and SNCF on data engineering, decision support, and optimization challenges.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

TotalEnergies Digital Factory
Senior Data Engineer & AI
ENERGY AND UTILITIES
July 2024 - Today (1 year and 11 months)
Paris, France
Design and development of a Drill & Well Data Hub intended to centralize and structure drilling data to feed several business applications.

Key achievements:
Technical leadership and coordination of the Data Engineering team's work.
Design of semantic data models covering drilling assets.
Design of data products in collaboration with Product Owners and business experts.
Implementation of real-time and batch data pipelines for data ingestion, transformation, and standardization.
Development of a Machine Learning model for automatic sensor name standardization.
Development of an AI agent for querying data in natural language.
Python LangGraph LLM Data Science Microsoft Azure
TotalEnergies Digital Factory
Senior Data Engineer & ML
ENERGY AND UTILITIES
May 2023 - July 2024 (1 year and 2 months)
Paris, France
Design and implementation of a real-time data platform feeding the Ghost Mode decision support application for drilling operations.

Key achievements:
Design of a data model and architecture allowing the microservices of the Ghost Mode application to access operational drilling data simply and consistently.
Contribution to the development of backend services calculating drilling performance indicators and business KPIs.
Implementation of a time-series standardization and aggregation pipeline to ensure consistent data consumption.
Member of the technical jury for a tender to evaluate AI solutions for drilling operations optimization, with expertise in machine learning and simulation.
Python Microsoft Azure FastAPI Machine Learning Back-End Development
SAFRAN
Senior ML / Simulation / Data Engineer
AVIATION AND AEROSPACE
February 2022 - May 2023 (1 year and 3 months)
Design of an AI & simulation platform based on an industrial digital twin to industrialize predictive maintenance use cases.

Key achievements:
Design of semantic data models describing industrial assets, health indicators, and business context.
Implementation of batch pipelines for ingestion and transformation of time series feeding remaining useful life (RUL) prediction models.
Integration of machine learning models and orchestration of "what-if" simulations to evaluate and optimize maintenance strategies.
Python Azure Data Engineer Machine Learning Numerical Simulation

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PhD in Computer Science
Sorbonne University, CNRS
2011
Analyse de graphes complexes : structure et dynamique des réseaux bipartites, prédiction de liens et systèmes de recommandation basés sur le contenu.
Master's Degree
UPMC - Telecom Paris (ENST).
2008