🎓 Master's student in Embedded Artificial Intelligence — final year
📍 Laayoune, Morocco
💡 Working at the intersection of Edge AI, TinyML, and predictive modeling
I build AI systems that run at the edge — on constrained hardware like microcontrollers — where cloud connectivity is unavailable or too slow.
My work combines:
- TinyML & model quantization — deploying neural networks on ESP32 and similar microcontrollers
- Time series forecasting — energy consumption prediction using real Moroccan datasets (Marrakech, Laayoune)
- Statistical modeling — background in decision informatics & applied statistics
Deployed a quantized neural network for motion detection on a simulated ESP32 (Wokwi).
Stack: TensorFlow Lite Micro · Model quantization · C++ · Wokwi
Edge AI inference on a microcontroller with < 512KB RAM
Time series model predicting energy consumption using real datasets from Marrakech and Laayoune.
Stack: Python · Statsmodels · ARIMA/SARIMA · Pandas · Matplotlib
Applied to real regional data with local policy relevance
Languages Python · C/C++ · SQL · Java · Rust(basic) · PHP
AI/ML TensorFlow Lite · Scikit-learn · Pandas · Statsmodels
Embedded ESP32 · TinyML · Model Quantization · Wokwi
Other Git · Linux · LaTeX
| Degree | Field | Institution |
|---|---|---|
| Master's (in progress) | Embedded Artificial Intelligence | — |
| Licence Professionnelle | Statistics & Decision Informatics | — |
| DUT | Computer Engineering (Génie Informatique) | — |
| Baccalauréat | Sciences Physiques | — |
🇬🇧 English — Professional working proficiency
🇫🇷 French — Good working proficiency
🇲🇦 Arabic / Darija — Native
Currently open to: remote AI/ML internships · research collaborations · funded PhD opportunities in Edge AI