I like building the layer between an intelligent model and the real world.

I started in software engineering — C++, OpenGL and a lot of UML — then moved into machine learning when computer vision still meant OpenCV and hand-tuned pipelines.

Integration work taught me Kubernetes, queues and monitoring. LLM work at ZAKA.tech taught me that a model answering questions is the easy part; grounding, fallbacks and business context are the job.

At Smart Mobility Lab I work on the whole chain: national data sources, matching and quality, analytics, knowledge graphs and agentic workflows — a platform I built from the ground up, now covering 28 countries.

I've studied and worked between Lebanon and France. I believe serious AI engineering doesn't need to be concentrated in a handful of hubs, and I'd like to help build teams that prove it.