Faareh Ahmed

PROFESSIONAL PROFILE Software Engineering student at NUST specializing in Machine Learning & Computer Vision. I apply algorithmic optimization and deep learning to analyze complex multidimensional data for autonomous systems. My experience includes international research as a DAAD Scholar at RPTU Kaiserslautern, expertise in LiDAR technology, and multiple publications in high-impact journals. EDUCATION Bachelor of Software Engineering School of Electrical Engineering and Computer Science , Islamabad , 3.31 (2026) INTERNSHIP EXPERIENCE Machine Vision and Intelligent Systems Lab 06-Jun-2024 - 25-Jan-2026 Leading LiDAR-based precision agriculture research focusing on 3D point cloud processing. Fine-tuned U-NetFormer for urban green space segmentation and optimized remote sensing algorithms. Cowlar Design Studio (YC-W17) 10-Jul-2025 - 10-Sep-2025 Conducted market research and customer interviews with restaurant owners to provide data-driven insights for product strategy. Collaborated with engineering teams on product launches Khiladi 01-Jul-2025 - 01-Sep-2025 Engineered 3D human pose estimation models using MediaPipe to analyze cricket bowlers' actions. Optimized video processing pipelines using Docker and FastAPI for real-time model inference Oryns Solution 02-Sep-2024 - 03-Jan-2025 Architected the frontend for a full-scale charity and giveaway ecosystem, facilitating user donations and automated reward systems. Developed an Admin Dashboard within the app to manage organizations, monitor live transactions, and oversee giveaway winner selection. Robotics Research Lab, RPTU Kaiserslautern 22-Jul-2024 - 23-Aug-2024 Research stay funded by a DAAD scholarship. Built a LiDAR-based 3D pipeline for high-resolution feature extraction and wheat yield prediction while practicing multi-sensor integration FINAL YEAR PROJECT LiDAR based Plant Phenotyping for Precision Agriculture Developing a novel UAV-based 3D point cloud generation method using 2D LiDAR, and leading deep learning research for plant biomass estimation and phenotypic trait extraction. TECHNICAL EXPERTISE

Software Engineering student at NUST specializing in Machine Learning & Computer Vision. I apply algorithmic optimization and deep learning to analyze complex multidimensional data for autonomous systems. My experience includes international research as a DAAD Scholar at RPTU Kaiserslautern, expertise in LiDAR technology, and multiple publications in high-impact journals.