About Baptiste
- Automate a business process (CRM, emails, quotes, reporting) with n8n
- Deploy an AI assistant / RAG chatbot on your internal documents
- Put a GenAI prototype into production: observability, testing, inference cost control
- Choose the right model (OpenAI, Claude, Mistral, open-source) according to your budget and sovereignty constraints
French
Native or bilingual
English
Fluent
Experience
- FreelanceAI Engineer - Generative AI & ML in ProductionCONSULTING AND AUDITSMay 2025 - Today (1 year and 3 months)Marseille, FranceI design and deploy generative AI and machine learning solutions in production for various clients (real estate, logistics, tech). From proprietary models to LLM integration, I handle the entire chain: data, training, deployment, reliability.Real estate / hospitality video generation augmented by motion prediction. Design of a proprietary neural network model, trained on several thousand annotated motion images, to generate augmented videos from simple photos. From dataset creation to training and deployment. Impact: 80% reduction in video production cost.Real-time speech synthesis with voice cloning. Development of a low-latency end-to-end voice generation (TTS) model, with voice cloning and prosodic fluency, using recent neural architectures (transformers, diffusion). Impact: latency < 10 ms.Intelligent automation platform for logistics. Event-driven architecture (Kafka / Redpanda) integrating a Falcon 40B LLM deployed on-premise in an air-gapped environment, and Azure OpenAI for generating optimization reports and purchase recommendations. Custom RAG to anchor LLM responses in business data. Impact: % gain on purchasing costs.
- Airbus HelicoptersAI Specialist (R&D AI for Aeronautical Systems)AVIATION AND AEROSPACEOctober 2021 - March 2025 (3 years and 5 months)Marignane, FranceResearch and development in artificial intelligence applied to critical aeronautical systems, in a context of maximum requirement for model reliability and reproducibility.Optimization using Deep Reinforcement Learning. Development of a Deep RL method for constrained optimization of high-fidelity helicopter simulations, calibrated on real flight tests. Impact: reduction of manual work time > 80%.Computer Vision for Non-Destructive Testing. Design of an automatic crack detection solution for critical composite parts (e.g., Starflex), from a set of annotated X-ray images. Impact: detection rate > 88% / reduction of manual inspection > 60%.An environment where a model's output is unforgiving: this is where I forged my requirement for reliability, which I now apply to production GenAI projects.
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Education
- Master's degree, Artificial IntelligenceAIX YNOV CAMPUS2023Master's degree, Artificial Intelligence
- Bachelor of EngineeringSUPINFO International University2021Bachelor's degree, Software Engineering