Mohamed Mehdi Zmantar

I like problems where the hardware gets a vote before I do. Give me a small board and a model that’s too big, and I’m happy. That’s what draws me to embedded AI, computer vision, and model compression: making capable models work within real hardware limits.

I’m Mehdi Zmantar. I recently graduated from École Polytechnique de Sousse with an engineering degree in computer science, specializing in data science. My interests span robotics, AI, and research, especially where software meets the physical world.

The project that means the most to me is NAUTILUS-X, an autonomous underwater vehicle that won first place at the Tunisia IoT & AI Challenge and second place at the regional final at GITEX Dubai 2025. I also chair my school’s IEEE Robotics and Automation Society chapter and lead AquaFair, an IEEE Tech4Good-funded project working toward equitable access to water. Water keeps showing up in what I build.