Eyad Mohamed

• Developing a software solution based on machine learning to enable the computer to automatically classify
and re-identify cattle from farm images taken using a drone in birds-eye view
• Using state-of-the-art deep learning techniques, including YOLOv8, OpenCV, and DEIMv2 for real-time object
detection, to detect and track cattle in aerial images, while also implementing a re-identification model to
recognize individual cattle based on their unique features

• Mentoring a cohort of 30+ undergraduate students during weekly lab sessions, guiding the practical implemen
tation of core algorithms and data structures for Practical Algorithms and Data Structures Module
• Debugging student code on-the-fly in Java, rapidly identifying logical errors while distilling complex concepts
like Big-O complexity, graph theory, and dynamic programming
• Guiding students from theoretical concepts to practical execution, facilitating the ground-up implementation
of fundamental data structures, including priority queues, binary search trees, and linked lists

• Mentoring a cohort of 30+ undergraduate students during weekly lab sessions, guiding the practical
implementation of core algorithms and data structures for Practical Algorithms and Data Structures
Module
• Debugging student code on-the-fly in Java, rapidly identifying logical errors while distilling complex concepts
like Big-O complexity, graph theory, and dynamic programming
• Guiding students from theoretical concepts to practical execution, facilitating the ground-up implementation
of fundamental data structures, including priority queues, binary search trees, and linked lists

• Spearheading customer research and collaborating within a cross-functional Agile team to

• Collaborated within an 8-person team to develop a full-stack Ruby on Rails web application, specifically
designing the PostgreSQL database schema and REST API backend to digitize and automate 3D printer
operations teams Ruby, Ruby on Rails, PostgreSQL and RESTful APIs