About Julien
Intelligence is nothing without architecture. Data is nothing without meaning.
Strategic Intervention Areas
- Trustworthy AI and sovereignty: Design of RAG/GraphRAG/vectorless architectures for highly regulated sectors (Legal, Banking, Defense, Health).
- Hardware-Accelerated AI: Implementation of custom models (Verilog FPGA, RISC-V) for embedded and critical real-time applications.
- Synthetic realities generation: Simulation of behavioral data and generation of synthetic datasets for training models under GDPR / National Security constraints.
- Post-quantum cryptography and blockchain: Securing data infrastructure against future threats, certification of digital flows.
Operational Expertise
- Audit, benchmark, feasibility, and algorithmic risk analysis
- Architecture design and definition of ML/AI/Hardware innovation roadmaps.
- Hybrid modeling: complex data structuring.
- Executive acculturation: AI data diagnostics (BPI approved) and awareness of generative AI challenges for management.
Technical Expertise
- Languages and performance: Rust (Security), Go (Concurrency), Python (ML).
- Hardware: Verilog programming, FPGA architecture, and RISC-V processors.
- Data and semantics: RAG, GraphRAG, Embeddings, LLM, HRM.
- Storage space: structured (SQL), vector (Qdrant, Weaviate...), graphs (Neo4j, FalkorDB...).
French
Native or bilingual
English
Fluent
Experience
- BNP ParibasMLOPS ArchitectBANKING AND INSURANCEDecember 2025 - Today (6 months)Montreuil, FranceDriving the architecture and implementation of advanced Retrieval-Augmented Generation (RAG) and GraphRAG systems to power next-generation AI agents. My focus is on bridging the gap between unstructured data and structured knowledge to achieve high-precision reasoning.
- Servier MondeSenior Data ScientistPHARMACEUTICALS INDUSTRYDecember 2024 - March 2025 (3 months)Suresnes, FranceDesign of a chatbot (fastapi) in Teams for user support on IT, HR, and software documentation topics.- Indexing documents (PDF, images...);- Benchmarking LLM models and OCR solutions;- Defining and implementing model performance evaluations;- Data visualization of performance/results and user feedback;- Production deployment (automation of indexing and evaluation processes).Agile methodologyGitlabGoogle Cloud
- EBB GLOBALData Scientist - Applied AI for CinematographyMarch 2024 - June 2024 (3 months)Montreuil, FranceDesign of an AI generation framework for movie scenarios generation. A "scriptwriter" AI capable of producing the director's intentions and generating Stable AI prompts. Combo OpenAI API and local Mistral + RAG ChromaDB running in a GCP VM (2 x Nvidia L4 GPU). User Interface for easier prompt engineering and "FastAPIsation". Model evaluation with Trulens.
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Education
- Master of NeurosciencesAix-Marseille Université2020Cursus dispensé en tandem par la faculté de Médecine et la faculté des Sciences. Acquisitions des compétences indispensables au chercheur : esprit critique et veille scientifique, rigueur de travail, seul ou en équipe, élaboration et gestion de projets ainsi que le partage de l’information, adapté en fonction du public. Conception d'un projet de recherche, sur la thématique de la récupération sensorielle après un AVC. Analyse du signal et de l'imagerie, dénombrement par stéréologie. Vérification et analyse des données, statistiques avancées (tests paramétriques et non-paramétrique; ANOVA, régression...). Développement et plasticité du système nerveux, neuroimmunologie, neuroendocrinologie, neuropharmacologie et signalisation cellulaire.
- University Diploma in Scientific Communication and PopularizationEcole de Journalisme de Marseille2019Écrire les Sciences, débats et controverses, notions en communication des organisations et de design éditorial (Indesign). Conception d’un podcast sur les neurosciences et d’une vidéo de présentation d'un travail de thèse dans un laboratoire du CNRS.
Certifications
- Microsoft DP-900Microsoft2021