Hnainia Mohamed Amine

My final-year project focuses on predictive maintenance for a CubeSat Electrical Power System through its On-Board Computer. I designed an end-to-end pipeline, including a MATLAB/Simulink battery simulation and LSTM-based State-of-Health estimation.

I’m developing a scalable framework to deploy models under MCU constraints, using quantization, pruning, and TensorFlow Lite conversion. I validated the embedded inference pipeline through Hardware-in-the-Loop testing and designed it to adapt across satellite profiles through transfer learning.

In other projects, I developed bare-metal STM32 drivers in Embedded C and built an ESP32 IoT monitoring system using MQTT. I’m seeking a full-time Junior Embedded Electronics Engineer position and am motivated to grow in the aerospace and defense sector.