Yusra Amal

PROFESSIONAL PROFILE I am an Electrical Engineering undergraduate at SEECS, NUST, with a strong academic foundation in electronics, embedded systems, and robotics, complemented by a growing specialization in machine learning, deep learning, and computer vision. Through carefully chosen electives and hands-on coursework, I have developed a deep interest in building intelligent systems that bridge hardware and software. My technical experience includes an internship in drone development, where I worked on embedded and avionics systems, strengthening my skills in flight controllers, sensors, motor control, and real-time system integration. Currently, my Final Year Project focuses on designing a courier drone, integrating autonomous navigation, communication, and secure delivery mechanisms, reflecting my passion for aerial robotics and autonomous systems. Alongside hardware, I am an active programmer with experience in C/C++, Python, Verilog, FPGA development, and mobile app integration. I enjoy solving complex engineering problems and aim to build innovative solutions at the intersection of embedded systems, robotics, and artificial intelligence. EDUCATION Bachelors of Electrical Engineering (BEE) School of Electrical Engineering and Computer Science (SEECS) , Islamabad (2026) INTERNSHIP EXPERIENCE DroNext pvt.ltd 23-Jun-2025 - 01-Sep-2025 Assisted on drone projects, Worked with Controllers, Embedded Systems, Sensors, PID controls, App development and 3D printing. FINAL YEAR PROJECT PARWAAZ: Courier Drone Developed an autonomous courier drone integrating computer vision–based human detection and OTP-authenticated parcel delivery. The system combines embedded avionics, navigation, and a servo-based dispensing mechanism for secure, intelligent last-mile delivery. TECHNICAL EXPERTISE Embedded systems - FPGAs | Verilog | Assembly Language | Quartus Experienced in designing and developing embedded and real-time systems with microcontrollers (AVR, STM32, Arduino) and FPGA platforms using C/C++, Assembly, and Verilog. AI - Machine Learning | Deep Learning | Computer Vision Experienced in applying machine learning and deep learning for computer vision tasks such as human detection and object recognition in robotics and autonomous systems. Skilled in developing and integrating vision-based AI models with embedded platforms for real-time intelligent decision-making Programming Languages - Python | C++ | C | Virtual Studio | Android Studio | Collab Proficient in Python, C++, and C for developing efficient software across embedded systems, robotics, computer vision, and

I am an Electrical Engineering undergraduate at SEECS, NUST, with a strong academic foundation in electronics, embedded systems, and robotics, complemented by a growing specialization in machine learning, deep learning, and computer vision. Through carefully chosen electives and hands-on coursework, I have developed a deep interest in building intelligent systems that bridge hardware and software. My technical experience includes an internship in drone development, where I worked on embedded and avionics systems, strengthening my skills in flight controllers, sensors, motor control, and real-time system integration. Currently, my Final Year Project focuses on designing a courier drone, integrating autonomous navigation, communication, and secure delivery mechanisms, reflecting my passion for aerial robotics and autonomous systems. Alongside hardware, I am an active programmer with experience in C/C++, Python, Verilog, FPGA development, and mobile app integration. I enjoy solving complex engineering problems and aim to build innovative solutions at the intersection of embedded systems, robotics, and artificial intelligence.