MUHAMMAD ALIF FARHAN BIN MOHD RIDWAN

Experienced Electrical Validation Engineer with 1.5 years of experience specializing in PCIe Compliance testing, ensuring AMD's products meet and exceed industry standards. Develops and executes rigorous test plans to validate product performance, leveraging expertise in high-speed digital design and signal integrity. Collaborates with cross-functional teams to identify and resolve complex technical issues, driving product excellence. Utilizes advanced test equipment and develops automated solutions to enhance testing efficiency and accuracy.

Final Year Project: "Area Target Detection and Tracking for Augmented Reality”

• Tackling the problems of the inaccurate placement of virtual objects in the augmented reality
• spaces regarding their intended position.
• Conducted comprehensive research to discover alternatives or improvement to existing
• method: area target detection and tracking with the help of object detection using newer
• algorithm or using GPS coordinates alongside Vuforia Engine for placement of virtual object.
• Developed a mobile application with additional features: error logging for the objects’
• displacement, basic user interface and performance optimization.
• Discovered the performance of single area targets is better than multiple area targets with
• many new improvements that could be implemented to better increase the object accuracy.
• This project would help immensely for netizens in this modern world in many technology
• fields such as live navigation (Google’s Live View), immersive video games and teaching tool.

Integrated Design Project: “Sustainable Agriculture: Water Level Controller for Paddy

Fields”

• Lead a team of 5 members on an integrated design project focused on sustainable
• agriculture, creating a water level controller for paddy fields.
• Conducted in-depth interviews with local paddy farmers in Sungai Besar, gaining valuable
• insights into their challenges that lead to the identification of the root cause.
• Designed, implemented, and integrated a microcontroller-based system with advanced
• sensors to automate the monitoring and precise control of water levels in the paddy field,
• optimizing irrigation and ensuring efficient water usage.
• Validated the system's functionality through extensive simulations, indicating its potential for
• significant water waste reduction and increased crop yields.

• Professional Certificate of Deep Learning in Intelligent Video Analytics and Computer Vision (Competency Level: Proficient)
• NVIDIA DLI Certificate: Fundamentals of Accelerated Computing with CUDA C/C++
• NVIDIA DLI Certificate: Getting Started with AI on Jetson Nano