Freelancer profile translated to English.
Back to original languageAbout Paul
I support organizations in designing and scoping robust, controlled, and sustainable Data & AI foundations.
I primarily get involved upstream of projects, where architectural decisions have the most impact on costs, security, and the evolution capacity of the information system.
My role involves analyzing the existing situation, identifying technical and organizational risks, and then proposing clear and realistic target trajectories that are understandable by both technical teams and decision-makers.
I position myself as an architect and advisor, capable of helping arbitrate structuring choices: make or buy, open source vs. proprietary solutions, scaling Data, AI, and GenAI uses.
I undertake short, high-value-added missions: audit, scoping, decision support, and strategic consulting.
Main Interventions
- Audit and scoping of Data & AI systems
- Definition of target architectures and multi-year roadmaps
- Scoping of GenAI / RAG projects
- Technological decision support (architecture choices, arbitration)
- Review and securing of architectures proposed by third parties
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- État-Major des ArméesTechnical Director - Data and AIDEFENSE AND MILITARYFebruary 2023 - Today (3 years and 4 months)Paris, FranceAs Data & AI Deputy, I am involved in the definition, structuring, and roadmap of a large organization's Data & AI foundation.My role is to support the maturation of Data and AI uses, while ensuring the overall consistency of the information system, the control of technical risks, and the sustainability of architectural choices.I operate at the interface between technical teams, business departments, and governance, with a strong focus on designing robust, scalable, and understandable architectures.
Key Responsibilities
- Definition and evolution of Data & AI architectures (platforms, flows, uses)
- Scoping of Data, AI, and GenAI projects upstream of the execution phases
- Decision support for technological choices (build vs buy, open vs proprietary)
- Structuring of multi-year target roadmaps
- Support for Data governance and alignment with business objectives
- Review and securing of architectures proposed by service providers or vendors
- Coordination with technical, data, and infrastructure teams
Technical Scope
- Data Architectures (ingestion, storage, processing, exposure)
- Data & AI Platforms
- Kubernetes / containerized environments
- Structured / semi-structured data
- AI & GenAI uses (scoping, industrialization)
- Security, cost, and sovereignty issues
- FreelanceTrainer - Data ScienceEDUCATION AND E-LEARNINGSeptember 2022 - February 2023 (5 months)Paris, FranceAs a Data Science trainer, I designed and delivered technical training for various profiles (engineers, analysts, developers), with a strong emphasis on understanding fundamental concepts, practical application, and the ability to move from experimentation to concrete uses.My teaching approach aims to go beyond the "tool" usage of Data Science to convey a clear understanding of algorithmic issues, model limitations, and the real conditions for production deployment.
Key Responsibilities
- Design of Data Science and AI training content
- Delivery of technical training sessions (in-person / remote)
- Simplification of complex concepts (statistics, ML, AI)
- Support for learners on practical cases
- Awareness of model limitations and biases
- Introduction to best practices for scaling and industrialization
Scope
- Python for Data Science
- Applied statistics and probability
- Supervised and unsupervised Machine Learning
- Basics of AI and Generative AI
- Data processing and preparation
- Notions of model deployment (MLOps – scoping)
- État-Major des ArméesData ScientistDEFENSE AND MILITARYOctober 2020 - September 2022 (1 year and 11 months)Paris, FranceAs a Data Scientist apprentice, I participated in the design and development of data tools aimed at automating processes, analyzing data, and facilitating decision-making.This experience allowed me to work across the entire data value chain: understanding needs, preparing data, designing processes, and making results available in the form of usable tools.
Key Responsibilities
- Design and development of internal data tools
- Analysis and preparation of heterogeneous datasets
- Implementation of statistical and algorithmic processes
- Light industrialization of analytical scripts and tools
- Collaboration with business and technical teams
- Documentation and knowledge transfer
Technical Scope
- Python (pandas, numpy, Data ecosystem)
- Exploratory data analysis
- Applied statistics
- Machine Learning (basics)
- Visualization and results reporting
- Automated scripts and tools
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Education
- Engineering DegreeTélécom Paris2022Diplôme d'ingénieur
- University Technology Diploma (DUT), Networks and TelecommunicationsIUT de Saint-Malo2019Diplôme universitaire de technologie (DUT), Réseaux et Télécommunications