About Me

My Story

After graduating from EIGSI and UPMC with a background in robotics and intelligent systems, I've spent the past 7 years working with companies like Renault Digital, Solocal, and Devoteam—building ML and AI systems that actually make it to production and deliver value.

My approach is pragmatic: I focus on building reliable, scalable solutions rather than chasing the latest trends. Whether it's an ML pipeline, or a GenAI application, I care about the end result for your business.

What excites me most about AI isn't the hype—it's the challenge of solving real world problems with complex technology. From Machine Learning models that optimize marketing spend to LLM-powered agents that streamline internal workflows, I've learned that the best solutions come from deeply understanding the problem first, then choosing the right tools to solve it.

I'm particularly drawn to the GenAI and LLMOps space right now, where there's a lot of noise but also genuine opportunities to create meaningful impact. I enjoy experimenting with emerging tools, sharing what I learn with the community, and helping teams navigate the gap between proof-of-concept and production.

When I'm not architecting solutions or mentoring engineers, you'll find me reading, exploring new tech, or doing some sports.

Always open to conversations about AI, engineering, philosophy or Real Madrid