Abdalrahman Alfakir Profile Freelancer Saudi Arabia

Abdalrahman Alfakir

Preferred Wages: 100 Rs. per Hour

Preferred Salary: 10000 Rs. per Month

Skills: Biomedical Engineering, Electric Repair, Troubleshooting, Electrical Engineering, Design, Electronics, Medical Engineering, Coding, Machine Learning

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I have been able to obtain a Bachelors in Biomedical Engineering from Ryerson University while maintaining an excellent “A” average. Most recently, I have obtained a Masters of Engineering in Biomedical Engineering from University of Toronto U of T, where I graduated with an outstanding 3.78/4.00 CGPA. My previous positions as a Biomedical Engineer BME researcher at Sunnybrook Hospital and a BME technologist intern at Al-Noor Hospital, allowed me to acquire extensive hands-on experience working with a diverse group of biomedical devices and modalities including imaging. To mention a few of the devices that I worked with: Angiography Machines, X-Ray Machines, Echo Ultrasound Machine, Patient Monitors including ECG, Inertia Movement Units IMU, Lidar, and much more. My most recent experience as a technologist at Al-Noor Hospital has allowed me to get exposed to a wide variety of devices that are present within standard hospitals. This gave me the opportunity to practically experience, understand, troubleshoot, and repair many of the electrical and mechanical components of these modalities. Moreover, I have dealt with additional devices and sensors through my capstone and master’s thesis projects. In my previous research at Sunnybrook Hospital, I developed a smart vest that has the capability to recognize back pain physiotherapy exercises and evaluate the user’s performance using multiple IMUs. The architecture, which consists of multiple electrical components, was designed and deployed on 19 healthy participants to assess the system’s viability and feasibility. We were able to highly recognize the specified exercises with 94% accuracy by utilizing state-of-the-art machine learning techniques. On the other hand, in my capstone project, I collaborated with a team of three to develop an electric smart wheelchair for quadriplegic individuals. Through the utilization of an IMU and Lidar, a scavenged smart wheelchair was taken and modified so that it could be controlled through head maneuvers. We had to integrate many components into the system architecture which involved electrical, software, and hardware design.

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