Freelancer profile translated to English.

Description

Passionate about Artificial Intelligence, I don't see it as a "black box" but as a powerful tool whose workings must be mastered.

What I bring to your projects:

- Generative AI & RAG: Design of chatbots for querying your knowledge bases.

- ML & Deep Learning: Development, training, and optimization of custom models.

My goal is to put my scientific curiosity and experimentation skills to work for your innovations.

Let's discuss your needs!

Languages

French
Native or bilingual
Spanish
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Leasup
Design and integration of a real estate Chatbot (RAG) | Freelance
January 2026 - April 2026 (3 months)
🏠 Development of an AI assistant (RAG) specialized in Real Estate

🏗️ RAG Architecture Implementation: OCR for extracting data from real estate contracts (PDF), optimized Chunking strategy, and vector storage.

🔌 API & LLM Services: Integration and orchestration of cutting-edge models via Mistral AI and Google (Gemini) APIs for natural language processing.

🗄️ Hybrid Data Management: Utilization of the Elasticsearch client database for Storage and Retrieval, enabling hybrid search (semantic + keywords).

🛠️ Backend & API Development: Design of API services to bridge the AI engine and business applications.

💻 Front-end Integration: Development and integration of a dynamic chat interface in React, directly within the client's web ecosystem, for seamless document interaction.
Python flask Docker Elasticsearch React
Département Informatique IUT de Montreuil
AI Developer – Administrative Assistance RAG System
September 2023 - August 2025 (1 year and 11 months)
🧠 RAG System: Development of an intelligent assistant capable of answering administrative questions based on internal documents.

🛠️ Stack: Using Python with LangChain, ChromaDB, and Ollama frameworks.

🚀 Docker Deployment: Containerizing the solution with Docker and Docker Compose for a reproducible and stable infrastructure.

🔌 API & Documentation: Exposing functionalities via a Flask API documented with Swagger for simplified integration.

👨‍🏫 Skills Transfer: Technical mentoring of interns and apprentices on AI development best practices.
Python Docker flask ChromaDB
Othello
R&D Engineer in Artificial Intelligence (CIFRE Thesis)
December 2019 - December 2022 (3 years)
🎥 Anomaly Detection: Development of an AI for real-time video stream analysis.

🏗️ Hybrid Architecture: Design and training of models combining CNN and RNN to capture spatial and temporal information.

🤖 Deep Learning: Testing and optimization of various architectures (VGG16/19, Xception, EfficientNet) and YOLO models (v3 to v7).

📊 Explainability: Implementation of saliency maps and Grad-CAM to make model predictions interpretable.

🔬 Scientific Rigor: Study of the state-of-the-art (Vision Transformers, Autoencoders) and international publications.
Python YOLO keras OpenCV