Waqar Ahmed

PROFESSIONAL PROFILE I am a Computer Science undergrad with a deep interest in Deep Learning perticualarly in Computer Vision. Currently working on drone imagery, NDVI generation and Deep Learning for phenotyping for my Final Year Project. I have hands-on experience with drone image stitching, geospatial processing in QGIS and model experimentation in Pytorch. Familiar with MERN at a foundational level with high motivation in strengthening my skills in this area. EDUCATION Bachelor of Science in Computer Science , Islamabad , 3.13 (2026) INTERNSHIP EXPERIENCE Cyber lab, National Aerospace Science & Technology Park (NASTP) 01-Jul-2025 - 24-Aug-2025 Integration and implementation of Face detection and recognition using Deep Learning algorithms. FINAL YEAR PROJECT Drone Assisted Crop Disease Detection, Phenotyping and Smart Spraying This project focuses on crop disease detection, phenotyping, and smart spraying using RGB and NIR imagery for precision agriculture. Due to operational constraints, initial field images were captured using mobile phones and cameras, while multi-temporal RGB and NIR drone imagery was later provided by the course instructor. The dataset spans over one month, consisting of imagery from 13 different dates, enabling temporal analysis of crop health. As a Computer Science student, the work primarily involves data processing, image stitching and alignment, NDVI generation, and exploration of deep learning methods for disease detection and phenotyping. The smart spraying hardware and execution are handled by Electrical Engineering counterparts, ensuring clear separation between software intelligence and physical implementation. The project addresses real-world challenges such as background noise, temporal variation, and data consistency. TECHNICAL EXPERTISE

I am a Computer Science undergrad with a deep interest in Deep Learning perticualarly in Computer Vision. Currently working on drone imagery, NDVI generation and Deep Learning for phenotyping for my Final Year Project. I have hands-on experience with drone image stitching, geospatial processing in QGIS and model experimentation in Pytorch. Familiar with MERN at a foundational level with high motivation in strengthening my skills in this area.