About

I am a research engineer at Thomson Broadcast. I’m passionate about building intelligent systems that bridge cutting-edge research and real-world applications. My interests span large language models, machine learning, and computer vision with a strong focus on designing reliable, production-ready AI solutions. I enjoy tackling complex technical challenges and transforming research ideas into impactful products.

Current work

Currently at Thomson, I develop AI solutions for complex industrial and defense applications. I work across the full AI lifecycle, from prototyping and experimentation to deploying scalable systems, with a particular interest in LLMs, RAG, agentic AI, and modern AI infrastructure.

Background

My research background is centered on Reinforcement Learning, where I explored meta-reinforcement learning and social robotics to improve the adaptability of autonomous agents in dynamic environments. This work resulted in peer-reviewed publications and continues to shape how I approach AI: combining rigorous research with practical engineering to build systems that are both intelligent and robust.

Interests

• Cutting-edge research in AI
• Reinforcement learning
• Robotics
• Open source software and self hosted applications