About me
I'm Nobel, an engineering student in my final year of a Master's program focused on AI and IoT. My work sits at the intersection of Machine Learning, Computer Vision, and Embedded Systems.
My core expertise includes:
- AI/Vision: PyTorch, TensorFlow, OpenCV, CNNs, Autoencoders
- IoT/Embedded: STM32, Nordic nRF, Zephyr RTOS, OPC UA, C/C++
- DevOps: Docker, Kubernetes, CI/CD pipelines
I'm passionate about Edge AI, real-time systems, and bridging the gap between intelligent algorithms and physical hardware.
Currently seeking an internship to apply my skills in Machine Learning and IoT architectures.
My Projects
Connected Watch
Design and implementation of a connected watch based on nrf5340 and Zephyr OS, featuring BLE, I2C sensors, and an LVGL touch interface.
Neural Networks and Image Classification
Developing perceptrons (Widrow-Hoff, MLP) and applying 'Full-Connected' and 'Deep Learning' (CNN) networks for image discrimination (Wang Database).
Reinforcement Learning - GridWorld Navigation
Implementation of Q-Learning and SARSA algorithms for autonomous navigation in a grid-based environment
Weather Station - Embedded System
Data acquisition system on STM32 with Sparkfun/ST sensors
Now
what's that?🎓 M.Sc. Student (2024-2026)
💼 Seeking internship for May 2026
📍 Poitiers, France
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