Lead Data Scientist with 17 years of experience in designing, developing, and leading AI projects.
Versatile background across computer vision, structured data, NLP, and time series, combining hands-on expertise
with a pragmatic approach.
My role has consistently been hybrid: model design and development, industrialization, as well as technical
leadership, strategic scoping, and team mentoring.
I thrive in environments where AI delivers concrete value, particularly in industry, defense, transportation, and
financial services.
Hybrid role as designer, developer, and technical leader for AI projects in industry and public sector.
- Design & development: model definition, training and optimization (vision, NLP, time series).
- Architecture & deployment: robust AI solutions (edge, cloud, MLOps).
- Leadership & pre-sales: technical scoping, bid responses, creation of AI offering for the DXS team.
- Manager of the Azure and Devops platform for the DXS team.
- Mentoring: technical support, recruitment, and coaching of up to 4 team members.
Key achievements: - Computer vision solution for worker safety → real-time detection, disruptive and innovative solution.
- AI-driven optimization for container logistics → measurable productivity gains.
- Virtual assistant for insurance → improved customer experience.
- 3D Detection and location of assets on rails using LIDAR data → feasibility and value for business
demonstrated.
- Lead Data Scientist on exploratory projects: predictive analysis of criminal data, multi-device hologram
applications. - End-to-end model design and development.
Technical and scientific lead on AI, vision, and signal processing projects for defense, aeronautics, and industrial
clients.
- In charge of underwater acoustic projects.
- Designed and delivered complex AI solutions, from conception to deployment.
- Key contributor to pre-sales (AI proposals for bids).
- Mentoring: technical support, recruitment, and coaching of up to 10 team members.
Selected projects: - Multiple sonar/radar detection systems.
- Multiple analysis systems for detection and classification of underwater targets.
- Optimization software for 3D printing.
- 3D image segmentation using evolutionary algorithms.
Research
- computer vision: theoretical development of algorithms for shape recognition
- applied to security evaluation of smartcard
- Fields of research: computer vision, pattern recognition, image processing,
machine learning, signal processing, discrete and computational geometry
Teaching - C programming
- Image processing projects
Missions: development and integration of computer vision systems for industry
Activities: image processing, optic
Research for 3D printing of fractal objects
Activities: mathematics, fractal modelling, development, PLM
- anglais