Hello!

My name is Abdelrahman Khalafalla, and I am a recent graduate in Electrical and Electronics Engineering with a strong passion for applying Artificial Intelligence and Machine Learning to real-world challenges — particularly in wireless communication systems and signal processing. My career beagn in hardware engineering, specifically on designing electronic systems for IOT devices. I am eager to leverage my skills and knowledge in a dynamic work environment, where I can contribute to innovative projects and continue to grow professionally to be among the best in the field.

Career Journey

January 2025 Graduated From Cyprus International University
  • Graduated With Bachelor Of Sience In Electrical And Electronics Engineering From Cyprus International University
  • Honours List
    • August 2023 - Internship At Turkish Cyprus Electrical Corporation

    Completed a 3 Months Internship Where I:

    • Assisted in the analysis of electrical load data to optimize energy consumption.
    • Assisted in the development of a predictive maintenance model for electrical equipment.
    • Collaborated with engineers to optimize energy distribution networks.

    May 2023 - Electronics Engineer At Turkcell
    • Worked on the design and implementation of communication systems.
    • Collaborated with cross-functional teams to develop innovative solutions.
    • Conducted research on emerging technologies in the field of electronics and communication.
    • Assisted in the development of algorithms for signal processing applications.
    • Led The Design of various Circuits for IoT devices using KiCad.
    March 2021 - Bachelor Of Science In Electrical And Electronics Engineering
  • I started my Engineering Journey With a Bachelor of Sience In Electrical And Electronics Engineering At Cyprus International University
    • Projects
    AI Prosthetic Hand Controlled Via The Peripheral Nervous System
  • Developed a prosthetic hand controlled by the peripheral nervous system using AI algorithms for real-time signal processing.
  • Implemented a machine learning model to interpret EMG signals for precise hand movements.
  • Designed a user-friendly interface for seamless interaction between the user and the prosthetic hand.
  • Conducted extensive testing and validation to ensure the reliability and accuracy of the system.
    • Techno-Economic Analysis of Standalone off-Grid Smart Parking lot in a Smart City
  • Conducted a techno-economic analysis of a standalone off-grid smart parking lot in a smart city, focusing on energy efficiency and cost-effectiveness.
  • Utilized simulation tools to model energy consumption and optimize the design of the parking lot.
  • Collaborated with a multidisciplinary team to integrate renewable energy sources into the parking lot design.
  • Presented findings to stakeholders, highlighting the benefits of the proposed design.