Maleeha

Academic

Career

Verbatim text

Maleeha
Cell: 03312022442 |  Email: maleehaskt50@gamil.com
LinkedIn: https://www.linkedin.com/in/maleeha-461182258/
Address: House # 260-B , street no. 23, Gulzar-e-Quaid , Rawalpindi , Pakistan
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

AI enrichment