I am french, finishing my MSc in Machine learning at UCL and working as a research intern at Huawei.

I am particularly interested in ML research and agents.

Continual learning for ML models.

I am an MSc Software Systems Engineering student at UCL with experience as an AI Software Engineer Intern at the International Federation of Red Cross, where I enhanced LLM pipelines and built automation tools for disaster response. My technical work focuses on AI agents, information retrieval, and software systems. I have won multiple hackathons, including Best Use of Langflow at HackingAgents London and The Idea with the Most Potential at SDLC Hackathon, and was a finalist at the ElevenLabs × London Founder House Build Weekend. I also run mustafaiscoding on Instagram, educating 24k+ followers on software and AI.

I’m interested in building and scaling AI agents for real-world use cases, especially in areas like developer tools, autonomous workflows, and legacy code migration. I want to connect with others working on agent frameworks, infra, and applied AI to explore collaborations. I’m also keen to learn more about AI productization, from rapid prototyping to deployment, and how agents can reshape industries beyond demos.

IFRC LLM pipelines: improving LLM orchestration and automation tools for disaster‑response insights (retrieval, LangChain/LlamaIndex integrations); Chameleon: React + TypeScript frontend with Langflow workflows using Mistral models for LLM-driven UI; applied_deep_learning_project: Python/PyTorch weakly‑supervised segmentation experiments; NewsCord: AI browser extension; Clover: Flutter/Dart mobile app.

Jules Talbourdet is an ML grad student at UCL, based in London. They are open to new opportunities and seeking full-time work or co-founders.