Who I Am
"A brief overview of my background, journey, and what drives me as an AI & embedded systems engineer."
This is a living document — I update it as I grow and learn. Last updated: October 2026.
My Journey
I’m Nobel. I completed my Master’s in Connected Objects (AI & IoT) at the University of Poitiers in September 2026. My path into engineering started with intensive preparatory classes in mathematics and physics in Benin, which gave me strong analytical foundations before I moved to France to specialize in connected systems and embedded intelligence.
What I Do
I work at the intersection of artificial intelligence and embedded hardware. My focus is on deploying machine learning models on constrained devices — microcontrollers, NPUs, and edge platforms — where every byte of memory and milliwatt of power counts.
From April to September 2026, I was an AI Development Intern at STMicroelectronics, deploying and optimizing a clustering model for photomask dimensional error classification (Cad2Mask project). Before that, I interned at Nagarro, where I worked on a multimodal generative AI pipeline for commercial proposal generation and, separately, on industrial IoT integration.
Today I’m looking for a role in AI, IoT or embedded systems. Alongside that, I work as a freelance AI automation developer and I’m learning inference engineering, which I share on LinkedIn.
What Drives Me
I believe the most interesting AI doesn’t live in the cloud — it runs on the device in your pocket, on your wrist, or inside industrial machinery. Edge AI is where real-time constraints, power budgets, and algorithmic elegance meet. That’s where I want to build.
I’ll keep this updated as my journey evolves. Feel free to check my projects or CV for the technical details.