About Thibault
- Custom AI model development (Deep Learning, Computer Vision)
- Design and production deployment of orchestrated AI agent systems (multi-agent, tool usage, complex workflows)
- Design, development, and large-scale deployment of AI agents via API (production-ready, scalable, monitorable)
- Optimization and fine-tuning of Large Language Models (AI Agent, LLM, RAG, Langchain, e.g., Llama3.3, GPT-5)
- Full-stack development (Python, Typescript, ReactJS)
- Data engineering: creation of robust pipelines for managing, visualizing, and analyzing large volumes of data (Big Data, Pandas).
French
Native or bilingual
English
Native or bilingual
Experience
- Barnacle Labs LTD
On Malt
AI EngineerHEALTH AND WELLNESSJune 2025 - Today (1 year and 2 months)Londres, United KingdomDesign and delivery of end-to-end AI products in production, combining modern AI stacks (LLMs, agents, MCP, LangChain), full-stack development, and cloud infrastructure.- AI Tools for a Medical Communications Agency (Solo): Development of multi-agent workflows based on LLMs (Claude and Mistral) for document generation and medical claims validation. Design of AI pipelines in production with source traceability, prompt versioning, and change detection, delivered as full-stack applications used daily by a team of 20+ people.- RegTech Company (Team): Delivery in 2 months of a continuous AI-driven KYC/CDD platform for real-time risk scoring and ownership API integration, with a TypeScript/React and PostgreSQL stack.- Market Research (Team): Development of robust AI pipelines for transcription and quality scoring, as well as MCP servers exposing company data to AI agents. Full-stack implementation of AI workflows, from the agent layer to the APIs.💻: Python, Claude agents SDK, OpenAI, ElevenLabs, Computer Vision, Next.JS - Moving Scope
On Malt
AI EngineerFILM AND AVOctober 2025 - December 2025 (1 month)Paris, France- Full-stack Development: Creation of a music-to-movie recommendation web application.
- Backend & AI: Implementation of an API (Python/Flask) using LLMs to analyze audio features.
- Frontend & Deployment: Creation of a user interface (NextJS/Typescript) and complete deployment of backend and frontend servers
- Infonet web group
On Malt
Development of an IQ/EQ test moduleDIGITAL AND ITAugust 2025 - November 2025 (3 months)Paris, FranceREST API developed with Flask, leveraging OpenAI's GPT models to dynamically generate quiz questions.Supports multiple quiz types (IQ, EQ, Math), different difficulty levels, multilingual output (French/English), and text-based as well as visual questions.
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Education
- Computer Science Engineering DegreeEpita2024Spécalité machine learning et computer vision