About

My academic foundation is anchored in the pursuit of a Diplôme Universitaire de Technologie (DUT) in Electrical Engineering at the École Supérieure de Technologie (EST) of Guelmim, Morocco. This program has provided a rigorous grounding in classical circuit theory, signal processing, power electronics, and low-level hardware control — the technical vocabulary from which every subsequent inquiry has grown.

Beyond coursework, my intellectual trajectory has pivoted toward complex systems, neuromorphic computing, and Spiking Neural Networks (SNNs). I am drawn obsessively to the possibility of dissolving the von Neumann bottleneck through brain-inspired hardware architectures: computation and memory co-located, communication carried by sparse spike trains rather than dense synchronous buses, and learning rules that respect the physics of the devices they run on.

My long-term vision is a transition into an international PhD program dedicated to the design of low-power neuromorphic accelerators. I want to build the substrates that bring true intelligent autonomy to edge applications — where energy budgets are measured in milliwatts, and where the boundary between the sensor, the model, and the silicon effectively disappears.