I build Agentic AI systems and the architecture that lets them run in production—FastAPI services, vector stores, model-serving pipelines, and the orchestration layer that ties them together.
My training at 42 Paris was systems-first: C, networking, virtualization. That foundation shows up every time I have to make a model serve under real latency, real load, real cost.
I work best when the problem is concrete—extracting structure from messy industrial data, replacing brittle workflows with agentic pipelines, or making a slow inference path five times faster.