Hello! Iβm Amr Ayman ElMaghraby, a passionate Embedded Systems Engineer with a knack for solving challenging problems and creating innovative solutions. My academic background in Communications Engineering and hands-on experience in embedded systems, Python, and machine learning have shaped my journey as a developer and problem-solver.
- π Education: Graduate from the Faculty of Engineering, Alexandria University Department of Communications (CGPA of 3.67).
- π‘ Specialization: Focused on Embedded Systems and Advanced Driver Assistance Systems (ADAS).
- π Project Highlights:
- Auto-Parking Car (Graduation Project): A feature-rich ADAS project mentored by Valeo, placing 5th in the mentorship program.
- Key Contributions: Designed and developed MCU-based algorithms for motion planning, vehicle tracking, odometry, collision avoidance, and more.
- π οΈ Tech Stack: Skilled in low-level programming for ARM Cortex-M4 MCUs, driver development, and embedded systems algorithms.
- Embedded Systems Development: Experience with ARM Cortex-M, AVR, and STM32 microcontrollers.
- Low-Level Programming: Expertise in writing MCAL and HAL drivers for peripherals like GPIO, USART, I2C, SPI, and more.
- ADAS Features Development:
- Auto-Parking
- Path Tracking
- Odometry
- Collision Avoidance
- Machine Learning Integration: Experience with tasks like sign recognition and lane detection for ADAS.
- Python Programming: Have experience for machine learning and deep learning tasks, leveraging libraries such as Scikit-learn and TensorFlow for model development, training, and evaluation.
- Problem-Solving: Strong foundation in C/C++ and algorithmic thinking.
- Languages: C, C++, Embedded C, Python, git
- Microcontrollers: Black Pill (STM32F401CC), ATMEGA32
- Software Tools: vscode, STM32Cube, Keil, Proteus
- Hardware: Ultrasonic sensors, MPU, Compasses, IR Sensor, EEPROM, DC motor, Servo
- Python Libraries: NumPy, Pandas, Matplotlib
- π§ Email: [email protected]
- πΌ LinkedIn: (https://www.linkedin.com/in/amr-elmaghraby/)
Iβm always excited to collaborate on impactful projects in embedded systems, Python development, machine learning, and beyond. Feel free to explore my repositories, share your thoughts, and letβs build something amazing together!
β If you find my projects interesting, donβt forget to star and fork them!
π Letβs connect and grow together in the tech world!