Mohannad Abdelfatah

Dynamic Engineering Science master's candidate at Monash University with a strong foundation in Machine Learning, AI, and mechatronics. Proven track record of leading impactful projects and developing innovative solutions. Experienced in high performance computing, leveraging Python, TensorFlow, and XGBoost for advanced data analysis and predictive modeling.

Seeking to leverage my expertise in Robotics, AI, Control Automation, and Embedded Systems to drive technological advancements and operational excellence.

Engineering Trainee

TT Vision Technologies Sdn. Bhd. May 2023 - August 2023 , Bayan Lepas, Penang

• Worked on a Vision model for recognizing mechanical part types using camera on Universal Robot Cobot.
• Responsible for Electrical Design of two different machines to Load and Unload Solar Wafers and Cassettes.

Software and Hardware Freelance Tester

UTest Applause July 2021 - March 2023, Framingham, Massachusetts, United States

• Tested different hardware and software for different companies like Astro and Western Union.
• Examined a new software and hardware testing environment, and reported bugs to the development team using test cases over the course of several months.
• Checked the quality of the products and services and gave feedback to the team about the products.

A.I, Machine Learning & Automation Intern

Center of Artificial Intelligence and Robotics July 2021 - October 2021, Johor Bahru

• Worked on several projects with companies like: InsightX Technology and Scuttle Robotics.
• Utilized GIS Mapping software to generate 3D maps from drone images of durian tree farms.
• Collaborated on Developing a machine learning model to detect durian trees from the generated DEM models with an accuracy of 90% and recall of 91%. using YOLO Darknet & Google Colab.
• Automated the processing of drone images for orthomosaic maps using a Python script, reducing the time needed by 95%.
• Automated the process of generating Digital Elevation Model (DEM) from drone images using Python to generate Digital Surface Models (DSM).

Robotics Engineering Intern

SCUTTLE Robotics Asia PLT July 2021 - October 2021, Skudai, Johor

• Defined the scope and requirements of the lawn mowing robot.
• Developed and built the mechanism for the lawn mowing robot using SolidWorks software.
• Fabricated the design using CNC machines and 3D printers to create the final product.
• Developed and Implemented the mechanism to enable movement on different surfaces.

Master of Engineering Science (Research)

Monash University Malaysia • Bandar Sunway, Subang Jaya • 2025

Bachelor of Engineering (Electrical - Mechatronics)

University Technology Malaysia • Johor Bahru, Malaysia • 2023 • 3.85