Faisal Al-Fayed

Mechatronics and Robotics Engineer with hands-on experience in delivering innovative, AI-driven projects. Skilled in project management, technical research, and leading cross-functional teams to achieve business objectives. Expertise in robotics, automation, and AI, with a strong foundation in business frameworks and problem-solving, gained through structured courses like CaseCoach. Fluent in Arabic and English, with a proven ability to manage diverse projects and collaborate across teams to deliver impactful solutions.

• Soft Actuator Glove for Stroke Patients: Led the design and development of a pneumatic soft hand glove for rehabilitation, integrating AI control systems (PID-ANFIS) to improve patient recovery. Managed the entire project lifecycle, from concept to deployment, ensuring the successful delivery of an innovative healthcare solution.
• Space Invader Control Algorithm: Contributed to the control algorithm in a team project, refining my understanding of ARM microcontrollers and teamwork.
• FPGA-based Tic-Tac-Toe Game: Led the development of an FPGA-based Tic-Tac-Toe game using Verilog and UI design principles, ensuring the delivery of a fully functional, user-friendly interface.
• MYPAM Rehab Robot: Contributed to the development of the MYPAM rehab robot for upper limb rehabilitation in stroke patients. Applied AI techniques and mechanical manufacturing processes to enhance the effectiveness of the device, ensuring successful implementation in rehabilitation trials.
• Light Bulb Reverse Engineering: Led a technology innovation project to reverse-engineer a light bulb, transforming it into a wireless, portable solution. This involved identifying cutting-edge components and validating the feasibility of the new design, which improved product versatility and durability.
• 3D-Printed Sauce Bowl: Designed a 3D-printed sauce bowl using SolidWorks, honing my CAD and rapid prototyping skills.
• Mini Weather Station: Assembled a mini weather station, enhancing my knowledge of sensor data acquisition and UI design.
• AI Algorithm for Chess: Developed an AI algorithm using Python to solve the Queen chess problem, significantly improving computational efficiency. The solution was successfully implemented in a research project focused on algorithmic problem-solving.
• Bluetooth-Controlled Racing Buggy: Developed a Bluetooth-controlled buggy, broadening my experience in real-time control systems and PCB design.
• Cycling Time Measurement App: Collaborated with engineers and software developers to design and implement a LabView application that accurately measured cyclists' speed. Facilitated communication between the technical team and end-users to ensure the system met all functional requirements.