My journey
From data science to full-stack systems: key milestones and projects
I started in Morocco with preparatory classes, where I built a strong foundation in mathematics and problem-solving. Early exposure to computer science pushed me toward technology, while entrepreneurship introduced a bigger question: how to turn ideas into scalable, real-world systems.
By my second year, I deliberately shifted toward data science and AI, while continuing to deepen my programming and engineering skills. I began designing more complex web architectures, which naturally led to Solance AI — a project that evolved from a technical challenge into a long-term exploration of decision modeling, risk, and deployment in real conditions.
Today, I’m completing a double degree in Data Science and the MODO master’s program at Paris Dauphine–PSL, focusing on operational research, optimization, and decision-making. My work centers on translating problems into models that can be optimized, solved, and embedded into production systems.
In parallel, I’m strengthening my skills in cloud, DevOps, and MLOps to ensure the systems I build are scalable, reliable, and production-ready. My objective is straightforward: design intelligent systems where modeling, engineering, and decision-making actually meet.
