Trajectory
Senior Data Scientist
Scalian — Bordeaux
Develop and democratize generative AI systems and tools
Delivered on-premise inference with vllm and open-source models from Huggingface. Built an OpenAI/Anthropic-compatible API with admin interface for a local, private, and secure solution. Integrated into agentic coding tools (Claude Code) and chat interfaces. Users report time savings of several hours per week. Maintain technical awareness of agentic systems, coding harnesses, skills, plugins, and MCP servers. Communicate and mentor colleagues across the organization.
Senior Data Scientist
Capgemini Engineering - R&D — Toulouse
Lead Data & AI Engineer on Palantir Foundry platform, delivering consulting-grade solutions for Airbus.
Delivered end-to-end data solutions: ingestion, transformation, enrichment, ML, dashboards, and applications. Applied NLP techniques and LLM embeddings for text classification and clustering tasks.
As an expert consultant on Palantir Foundry, I joined the Airbus Customer Line services analytics team to provide methods and tools for managing and analyzing non-conformance data from final manufacturing and testing phases, as well as customer satisfaction surveys.
- Processed 10M+ records per day with Palantir Foundry pipelines.
- Designed and deployed KPI dashboards used by 100+ daily users across the business.
- Integrated LLM embeddings into classification and clustering pipelines for text data.
- Deployed 10+ ML models into production on Palantir Foundry with ~90% classification accuracy.
- Automated user actions and workflows using Foundry's automation tools.
Data & AI Engineer
Capgemini Engineering - R&D — Toulouse
Technical Lead on Palantir Foundry platform, leading an international team.
Designed and built 50+ data ingestion pipelines on Palantir Foundry. Ensured compliance with governance and cybersecurity standards for all data pipelines. Provided technical coaching and mentorship on PySpark development. Applied Agile Scrum and DevOps practices.
Acted as a Data Engineer subcontractor for Stellantis, leading a team of 5–10 people responsible for adding new data from enterprise systems into Palantir Foundry across international locations (US to India).
- Managed integrations between Palantir Foundry and external enterprise systems.
- Implemented security controls, availability guarantees, and access governance for new data sources.
- Preprocessed large-scale data using Palantir's internal PySpark modules.
- Aligned team delivery with client priorities and business objectives.
Experienced Solution Designer
Capgemini Engineering - R&D — Toulouse
Developed an open-source platform for multidisciplinary analysis and optimization.
Developed Integrated Assessment Models (IAM) in Python, integrating climate, economic, and energy models. Performed Model-Based System Engineering (MBSE) trade studies for next-generation Airbus aircraft. Designed optimization algorithms and numerical analysis routines for aircraft design. Applied Agile Scrum and DevOps practices.
Worked within Airbus Engineering to simulate future energy, economic, and environmental scenarios to inform aircraft design decisions. The platform was developed in Python using the Gemseo optimization library.
Applied the same techniques to optimize aircraft design through modeling of engine power, weight, fuel consumption, lift, and thrust.
Data Scientist
Alten SO — Toulouse
Digital Transformation Lead for Airbus.
Conducted stakeholder interviews to understand and qualify business needs. Cleaned, enriched, and performed statistical analysis on large datasets. Developed machine learning models in Python and PySpark. Implemented Natural Language Processing (NLP) pipelines. Applied Agile Scrum methodologies for project delivery.
As a Data Science Consultant for Airbus over 4 years:
- Built analytics dashboards in Python and Qlik Sense for Airbus Quality Teams' daily operations.
- Developed outlier detection and severity/cost estimation models for Airbus maintenance incidents reported by airlines.
- Built an internal Airbus NLP library in Python/PySpark, wrapping scikit-learn, NLTK, and Gensim.
Led teams of 6–10 people and served as Scrum Master on multiple projects.
Doctorate in Mathematics
Institut Camille Jordan - Université Claude Bernard Lyon 1
Periodic waves in Hamiltonian systems: stability, modulations, and dispersive shocks.
Conducted mathematical and numerical analysis of stability properties of periodic wave solutions in Hamiltonian systems. Analyzed partial differential equations (PDEs). Developed a complex numerical method in MATLAB for scientific computing and PDE discretization schemes. Presented research at scientific conferences (CEMRACS 2015, SEME).
Teacher
INSA Lyon
Conducted lectures, tutorials, and practical sessions on numerical analysis for L3 engineering students using MATLAB.
Research Engineer
EADS Innovation Works - CERFACS — Toulouse
Mathematical analysis and development of numerical methods for turbo-reactor acoustic fields.
Studied acoustic propagation models and their numerical simulation. Developed a finite element method (FEM) code in Fortran.
Engineering Degree
École Centrale Lyon
General Engineering Degree with R&D specialization. Specializations: Mathematics & Risk Management, Partial Differential Equations, Acoustics.
Master degree, MAIM
École Normale Supérieure de Lyon
Mathematics and Applications (MAIM): Advanced Mathematics and Mathematical Engineering. Specializations: Partial Differential Equations, Kinetic Theory, Shape Optimization.
Exchange program, ERASMUS
Universitat Politècnica de Catalunya (UPC), Barcelona
Completed an ERASMUS exchange at Universitat Politècnica de Catalunya (UPC), Barcelona:
- Facultad de Matemáticas y Estadística
- Escola Tècnica Superior d'Enginyeria de Barcelona (ETSEIB)