Ayesha Hussain

PROFESSIONAL PROFILE Dedicated and detail-oriented final-year Electrical Engineering student with a strong blend of technical expertise and cross-functional skills. Seeking co-op opportunities to gain hands-on experience, apply theoretical knowledge in real-world settings, contribute to innovative technology-driven projects, and make a positive impact on society through collaborative teamwork. EDUCATION BS Electrical Engineering SEECS-NUST , Islamabad , 2.95 (2026) INTERNSHIP EXPERIENCE Auximo Tech GmbH 03-Feb-2026 - 30-Apr-2026 Gained hands-on experience in Robotic Process Automation (RPA)and theMicrosoft Power Platform (Power Automate, Power Apps, Power BI, Power Pages). Communication Systems & Networking (CSN) Lab 16-Jun-2025 - 15-Aug-2025 Worked on UAV hardware integration, Edge AI algorithms, computer vision, sensor fusion, and embedded systems for real-time wildfire detection. Islamabad Carriage Factory 15-Jul-2024 - 16-Aug-2024 Observed interdisciplinary engineering workflows, industrial processes, and ongoing international railway modernization projects. FINAL YEAR PROJECT AI-Powered Drone System for Early Wildfire Detection and Prevention This FYDP aims to develop an AI-powered drone system for early wildfire detection and prevention by integrating computer vision, thermal imaging, and environmental sensor data. Additionally, autonomous drone navigation using SLAM and GPS tracking will ensure efficient fire monitoring and surveillance in large forested areas. The project will also focus on onboard AI deployment on edge devices for real-time inference, optimizing processing speed and minimizing response time. A real-time alert system will be developed to send early warning notifications with GPS coordinates to firefighting agencies and disaster response teams. Furthermore, a web/mobile dashboard will be created for remote monitoring, providing a user-friendly interface for real-time fire visualization and predictive analytics. TECHNICAL EXPERTISE Research Assistant – AI-Enhanced USV Swarm Project Intelligent Digital Twin Lab (IDTL), SINES, NUST Supervisor: Dr. Mian Ilyas, Principal SINES Worked on autonomous USV swarm development for water quality monitoring. Experience with Pixhawk, MAVProxy, Mission Planner, LoRa, STM32, and sensor interfacing. Assisting in swarm testing, GUI-based sensor valida ... Jetson Warrior – Jetson Nano Primers Initiative SEECS, NUST Supervisor: Dr. Tauseef-ur-Rehman Supporting workshops on AI and Computer Vision on the Edge using NVIDIA

Dedicated and detail-oriented final-year Electrical Engineering student with a strong blend of technical expertise and cross-functional skills. Seeking co-op opportunities to gain hands-on experience, apply theoretical knowledge in real-world settings, contribute to innovative technology-driven projects, and make a positive impact on society through collaborative teamwork.