Experience

End to End projects: data connection, transforms, enrichments, machine learning, dashboards and applications.
LLM embeddings integration into classification and clustering pipelines.
Models deployment to production environments.
Agile Scrum and DevOps/MLOps practices.

For one year as an expert consultant on Foundry, I joined the Airbus Customer Line services data analytics team. Their goal is to provide methods and tools to manage and analyse data related to non-conformity detected during the last phases of manufacturing and testing or even customer satisfaction surveys. During this year I was involved in:

• Preprocess data with Palantir's pyspark modules
• Design and build KPIs and Dashboards to support business teams.
• Handle free text data using NLP techniques and LLM embeddings.
• Deploy ML classification models to production into Palantir's Foundry platform.
• Automate user actions and workflows using Foundry's automation tools.

Creation of ingestion pipelines in Palantir Foundry platform.
Responsible for the respect of governance and cybersecurity rules.
Technical support and coaching on pyspark developments.
Agile Scrum and DevOps practices.

Acting as a Data Engineer subcontractor for Stellantis, I was tasked to lead a team of 5 to 10 people responsible for the addition of new data into Palantir Foundry from the enterprise other systems.
The context was international, from the United States to India on client and subcontractor teams.
Below are key points achieved in this role:

• Handling connection between Palantir Foundry and external systems.
• Ensuring security, availability, access rules to newly added data.
• Preprocessing big data using Palantir's internal pyspark coding modules.
• Supervising the team's work according to client priorities.

Integrated Assessment Modelling in python. Global climate, economics and energy models.
Model Based System Engineering, trades between Airbus future aircraft design.
Optimisation algorithms and numerical analysis.
Agile Scrum and DevOps practices.

Part of Airbus Engineering, the goal was to simulate energy, economy and environment future evolution to help making decision on aircraft design. The platform was developed in python relying on Gemseo optimisation library.
I was part of the modelling and optimisation team of the application deployed in production.

The same techniques were also used to optimise aircraft design by modelling engine power, weight, fuel consumption, lift and thrust.

Business needs understanding and qualification.
Data cleaning, enrichment, statistical analysis.
Machine learning algorithms in python/pyspark.
Natural Language Processing (NLP).
Agile Scrum project management, support to recruitment and marketing process.

During 4 years, I participated in multiple projects as a data science expert consultant for Airbus in Toulouse. Below are a few examples of realisations during this period:

• Deployment of an analytics dashboard for Airbus Quality Teams day to day reports in python and QlikSense.
• Outliers detection and severity and costs estimation of Airbus maintenance requests from airlines.
• Development of an Airbus internal NLP python/pyspark library built as a wrapper of scikit-learn, nltk and gensim and deployed in internal repositories and Palantir Foundry.

On several of these projects, I was acting a team leader and Agile scrum master for a team of developers of about 6 to 10 people assuming client facing roles.

Mathematical and numerical analysis of stability properties of periodic waves solutions of Hamiltonian systems.
Analysis of partial differential equations.
Development of a complex numerical method in Matlab, scientific calculation, numerical analysis, schemes for PDEs.
Communication at scientific colloquium and training programs (CEMRACS 2015, SEME).

Classes, exercises and practical work on numerical analysis for engineering students with Matlab.

Study of acoustic propagation models and their numerical simulation.
Development of a finite element method code with Fortran.

General Engineering training with R&D Specialisation
Majors: mathematics and risks management, partial differential equations, acoustics.

Mathematics and Applications, Advanced Mathematics and Mathematical Engineering.
Majors: partial differential equations, kinetic theory and shape optimisation.

Classes in two schools of Universidad Politécnica de Cataluña BarcelonaTech.
FME : Faculdad de Matemáticas y Estadistica.
ETSEIB : Escuela Técnica Superior de Ingeniería de Barcelona.