nobel djessou.
system_overview
I am currently completing a Master’s degree in connected objects with a focus on AI, IoT architectures, embedded systems, and edge intelligence. My work sits at the intersection of machine learning, computer vision, embedded deployment, and real-world connected systems.
I have developed experience through internships and projects in industrial AI, automation, IoT integration, and embedded experimentation, including work with STMicroelectronics, Nagarro, and HINFACT.
trajectory_log
master objets connectés (ia & iot)
université de poitiers — poitiers, franceMachine learning, computer vision, deep learning, IoT architectures, edge AI, and intelligent systems/networking.
licence sciences pour l’ingénieur / objets connectés et automatismes
université de poitiers — poitiers, franceTraining in connected systems, automation, embedded engineering, and applied industrial systems.
classes préparatoires mpsi
institut de mathématiques et sciences physiques — béninStrong scientific foundation in mathematics, physics, and analytical problem-solving.
current_focus
- [*] Edge ai deployment on embedded hardware
- [*] Computer vision & machine learning systems
- [*] Iot architectures & connected devices
- [*] Workflow automation & applied ai tooling
- [*] Technical documentation & experimentation
operating_principles
- > Structured: build systems that remain readable, testable, and maintainable.
- > Systems-oriented: connect software, hardware, and deployment constraints.
- > Practical: prioritize usable implementations over abstract concepts alone.
- > Rigorous: validate methods, edge cases, and operational reliability.
visual_archive
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