ABDULLAH ALQAHTANI

A Computer Engineering graduate with a robust foundation in Network cybersecurity and a deep interest in Artificial Intelligence. Academic journey culminated in a significant final project developing a real-time vehicle detection and parking occupancy system. This experience enhanced technical skills and the practical application of theoretical knowledge. Secured second place in the NASA Space Apps Challenge in Riyadh, demonstrating the ability to address real-world problems through innovative solutions and teamwork. Completed a CO-OP at Center3 as a backend developer using Spring Boot, collaborating with a team and gaining insights into security practices. Currently eager to pursue a challenging position, particularly at the intersection of AI and cybersecurity, to further advance skills and contribute to cutting-edge projects.

• Real-time Vehicle Detection System: Engineered a system using Raspberry Pi, YOLOv8, and OpenCV for real-time vehicle detection and parking occupancy monitoring. Improved parking management efficiency and space utilization by overcoming challenges in real-time data processing and accuracy.
• Smart Garage Door System: Developed a smart garage system with Raspberry Pi, YOLOv8, and OCR technologies. Integrated a networking framework for remote access and control via smartphones. Enhanced network security and vehicle recognition capabilities.
• Conversational Summary Bot: Created a bot using Large Language Models (LLMs) for efficient processing and summarization of meeting content. Improved accuracy in processing diverse dialects and reduced meeting follow-up time.
• NASA Space Apps Challenge: Secured 2nd Place and Global Nominee status in Riyadh. Led a project focused on fire prevention and desertification using drones, AI, and satellite imagery. Demonstrated innovative problem-solving and technical leadership.

NASA Space Apps Challenge
Achieved 2nd Place and Global Nominee status in Riyadh. Led a team in developing an integrated solution for fire prevention and desertification using drones, AI, and satellite imagery. Demonstrated innovative problem-solving and technical leadership in environmental preservation and real-time analytics.