Maleeha

PROFESSIONAL PROFILE Final-year Electrical Engineering undergraduate at NUST (SEECS) with strong expertise in computer vision, robotics, control systems, and AI integration. Experienced in designing and implementing complete, real-world systems that combine perception, decision-making, and actuation across software and hardware platforms. Currently pursuing a Final Year Project focused on edge-deployed 3D vision and localization for autonomous systems, combining visual SLAM, monocular/stereo 3D perception, and human-aware navigation in resource-constrained environments. Hands-on experience spans AI systems with LLM integration, classical and real-time computer vision pipelines, autonomous vehicle control, and embedded hardware applications. EDUCATION Bachelors in ELectrical Engineering SEECS , Islamabad (2026) INTERNSHIP EXPERIENCE DronesNEXT lab , SEECS 01-Jul-2025 - 01-Sep-2025 In this internship , I contributed to the design and development of a bio-inspired ornithopter.We as a team developed mechanical structures and assisted in creating a non-linear controller to stabilize and regulate flight dynamics. I gained interdisciplinary exposure to aerial robotics, control system modeling, and real-world integration of mechanical and electronic components. FINAL YEAR PROJECT Edge-Deployed 3D Vision & Localization for Autonomous Systems I alongwith my team member am developing an autonomous perception system capable of real-time localization and mapping using monocular and stereo cameras, without GPS or depth sensors. The project implements visual SLAM to estimate vehicle pose, reconstruct surrounding structures, and enable collision-aware navigation, and is designed for resource-constrained edge platforms with emphasis on modularity, efficiency, and scalability. It integrates human detection and perception modules for safe autonomous operation TECHNICAL EXPERTISE Classical Computer Vision & Augmented Reality Implemented a markerless AR system that embeds 3D virtual objects into video scenes using Shi-Tomasi corner detection and Lucas-Kanade optical flow. Computes planar homography to track camera motion and decomposes it into rotation and translation for accurate 3D object projection. Developed an interactive int ... AI & LLM-Driven Systems Designed a full AI tutoring backend with NestJS and TypeScript, integrating a local LLM (Ollama) for adaptive questioning, progressive hints, and intelligent answer evaluation. Included state tracking to maintain learner progress and adapt difficulty. Control Systems & Autonomous Vehicles Developed adaptive cruise control using PID for real-time vehicle longitudinal dynamics. Tuned controllers for stability and

Final-year Electrical Engineering undergraduate at NUST (SEECS) with strong expertise in computer vision, robotics, control systems, and AI integration. Experienced in designing and implementing complete, real-world systems that combine perception, decision-making, and actuation across software and hardware platforms. Currently pursuing a Final Year Project focused on edge-deployed 3D vision and localization for autonomous systems, combining visual SLAM, monocular/stereo 3D perception, and human-aware navigation in resource-constrained environments. Hands-on experience spans AI systems with LLM integration, classical and real-time computer vision pipelines, autonomous vehicle control, and embedded hardware applications.