Talla Ahmed Bunjabi is a Full-Stack Software Developer with a Bachelor’s degree in Computer Science from Umm Al-Qura University. Her academic and professional interests have focused on software development and building digital applications that combine technical efficiency with a user-centered experience. She also completed a Software Engineering Bootcamp offered by the Saudi Digital Academy in collaboration with General Assembly, where she gained practical experience in full-stack application development, Agile methodologies, Git-based workflows, and modern software engineering practices.

She has hands-on experience in both front-end and back-end development using technologies such as React, Django, Django REST Framework, Python, and JavaScript. Her technical capabilities also include designing and integrating REST APIs, database development, Git and GitHub workflows, Docker, Swift and SwiftUI, as well as user interface and user experience design tools such as Figma.

One of her key projects is Agendafy, a productivity platform she independently designed and developed. The platform combines task management with a personalized music experience through Spotify integration. In this project, she developed responsive front-end interfaces using React, built back-end services and APIs using Django REST Framework, implemented secure authentication and authorization with JWT, and integrated the Spotify Web Playback SDK to provide an interactive music experience.

She also contributed to a graduation project that applied artificial intelligence and computer vision technologies to detect visual pollution in urban environments. Her role included building and training an object detection model using YOLOv5, as well as using Python and OpenCV for image processing, dataset preparation, and model evaluation. The project resulted in a functional prototype designed to support smart-city applications and urban environmental improvement initiatives.

Her professional interests span web application development, software engineering, artificial intelligence, and computer vision, with a particular focus on developing practical, scalable, and user-friendly digital solutions. She also demonstrates strong problem-solving and analytical skills, critical thinking, teamwork, adaptability, rapid learning, and close attention to code quality and technical detail.