Nidhal Saïdani
Intelligent Systems Engineering Graduate Student Specializing in Automation, Robotics, and Deep Learning
Technical Skills:
- Programming Languages: Python (Proficient), C/C++ (Proficient), MATLAB
- Embedded Systems and Microcontrollers: Nicla Vision, Arduino, Raspberry Pi, NVIDIA Jetson Xavier NX
- Simulation and Modelling: MATLAB, Simulink
- Software Development Tools: Git (Version Control), Docker, Jupyter Notebooks
- Machine Learning and AI Frameworks: TensorFlow, PyTorch, Keras
- Operating Systems: Proficient in Linux, familiar with Windows and macOS
- Computer Vision and Image Processing: OpenCV, MATLAB Image Processing Toolbox
- Data Analysis and Visualization: NumPy, Pandas, Matplotlib
Education:
- Master’s Degree in Intelligent Systems Engineering (Automation, Robotics) - Sorbonne University’s Faculty of Science & Engineering, Paris, France (Sep 2022 - Sep 2024)
- Bachelor’s Degree in Electronics, Electrical Energy, Automation - Sorbonne University’s Faculty of Science & Engineering, Paris, France (Sep 2020 - Jun 2022)
Experience:
- Deep Learning Apprenticeship, CabUX Team - Capgemini Engineering, Paris, France (Sep 2022 - Present)
- Student Tutor and Mediator - Sorbonne University - FabLab SU, Paris, France (Sep 2021 - Sep 2022)
- Internship - OneTech Group, Azib, Tunisia (Jun 2019 - Jul 2019)
Projects:
- Context Detection Using a Smart Connected Badge Project - Sorbonne University (Oct 2023 - Dec 2023)
- Data-Free Quantization Through Weight Equalization and Bias Correction - Sorbonne University (Oct 2023 - Dec 2023)
- Panoptic Segmentation Application Project - Sorbonne University (Feb 2023 - Apr 2023)
- C++ Route Planning Application Project - Sorbonne University (Feb 2023 - Apr 2023)
- Python-based Game Programming Project - Sorbonne University (Oct 2022 - Dec 2022)
- Augmented Reality (AR) Application - Sorbonne University (Oct 2022 - Dec 2022)