Shameer Ashraf

PROFESSIONAL PROFILE Electrical Engineering undergraduate at NUST with a strong focus on Artificial Intelligence, Computer Vision, and Robotics. Experienced in developing real-world AI systems, high-performance computing, and autonomous perception pipelines. Seeking opportunities to apply machine learning and embedded intelligence to impactful engineering and research problems. EDUCATION Bachelors in Electrical Engineering School of Electrical Engineering & Computer Science , Islamabad , 3.86 (2026) INTERNSHIP EXPERIENCE ITSOLERA 24-Aug-2024 - 24-Oct-2026 Worked on real-world computer vision applications Developed an end-to-end pipeline for 3D reconstruction of ancient artifacts Deep Learning Lab, NUST 24-Jul-2024 - 24-Aug-2026 Implemented neural networks and convolution operations using CUDA. Led and supervised fellow interns. Studied transformer-based hand-pose estimation methods. Computer Vision Lab, SEECS, NUST 23-Jul-2026 - 23-Sep-2026 Learned Python, Machine Learning, and Deep Learning fundamentals. Developed a pipeline for point-to-polygon data conversion. FINAL YEAR PROJECT Autonomous Vision-Based UAV System This project focuses on developing an Autonomous Catching UAV designed to identify, follow, and safely capture unauthorized aerial objects in real time. The system operates fully onboard using edge computing on an NVIDIA Jetson, enabling vision-based detection, tracking, and decision-making without reliance on ground control stations. A Pixhawk Cube Orange flight controller ensures reliable navigation, precise control, and stable autonomous flight, while a depth camera provides accurate 3D perception for close-range localization and maneuvering. The result is a smart aerial platform capable of autonomous situational awareness and coordinated interaction in complex airspaces. TECHNICAL EXPERTISE Programming Languages: Python, C, C++, MATLAB, CUDA Knowledge Domains: Computer Vision, Machine Learning, Robotics, Reinforcement Learning Tools & Frameworks: Jetson, Pixhawk, Quartus, Proteus, LabVIEW, AutoCAD, QGIS

Electrical Engineering undergraduate at NUST with a strong focus on Artificial Intelligence, Computer Vision, and Robotics. Experienced in developing real-world AI systems, high-performance computing, and autonomous perception pipelines. Seeking opportunities to apply machine learning and embedded intelligence to impactful engineering and research problems.