Driven by
complexity.
I am a dual-degree engineering student at ESIEA and SKEMA Business School. I build bridges between low-level embedded hardware and high-level artificial intelligence.
The Journey
Coming from a rigorous background in advanced mathematics and physics, I developed a structural approach to problem-solving early on. I later pursued an academic exchange at Seoul National University of Science and Technology in South Korea, where I immersed myself in Machine Learning and Quantum Computing.
When choosing my engineering specialization, I was torn between AI and Embedded Systems. I ultimately chose Embedded Systems, driven by the conviction that these two fields will become intimately intertwined in the coming years. Edge AI and intelligent hardware are the future.
Beyond academics, my professional experiences—ranging from public sector observations in hospitals to technical data engineering at NG Metrics—have shown me the immense need for robust IT solutions across all industries. I am currently completing my double degree (MSc AIBT) and actively looking for my final technical internship for the second semester of 2027 (open to international opportunities).
The Arsenal
My technical stack bridges the gap between hardware execution and data intelligence.