Ali Rehman
BS Electrical Engineering , LUMS
About Me
Hello! I’m Ali Rehman, an Electrical Engineering graduate from LUMS (Class of 2024), currently working as a SLAM Algorithm Engineer at Software Motion. In this role, I focus on LiDAR and visual SLAM (Simultaneous Localization and Mapping) for autonomous driving and ADAS (Advanced Driver-Assistance Systems).
Previously, I worked as a Research Assistant at the LUMS IMASS Lab, where I specialized in TinyML and deep model compression. My expertise spans robotics, SLAM, machine learning, and TinyML, with hands-on skills in ROS, deep learning, retrieval-augmented generation (RAG), computer vision, and robot motion planning.
Feel free to explore my projects further through my resume, and connect with me on LinkedIn for collaboration or discussions.
Email : ali.rehman@lums.edu.pk
Research Areas
Projects
Final Year Project 2024: Autonomous Delivery Vehicles
Sep 23- May 2024
Developed an autonomous vehicle prototype for package delivery, using GPS, LiDAR, and computer vision for navigation and obstacle avoidance. Showcased practical robotics and machine learning applications.
CV SCAN : AI Powered Hiring Assistant
April 2024
An AI-powered hiring assistant that analyzes resumes, matches candidate qualifications to job requirements, and provides interactive feedback. Integrates advanced retrieval and embedding techniques for efficient, context-aware resume screening.
Intelligent Obstacle Avoidance and Object Manipulation
Mar 23- May 23
An autonomous robotics project for obstacle detection, color-based object recognition, and precise object placement. It integrates mapping, sensor detection, and pathfinding for accurate navigation and object handling.
Awards & Honours
Best Final Year Project Award - LUMS Electrical Engineering Department
I am proud to announce that our final year project, “Developing an AI-Powered Autonomous Vehicle for Last Mile Delivery,” was honored with the Best Final Year Project 2024 Award by the Electrical Engineering Department at the Lahore University of Management Sciences (LUMS).This recognition highlights our dedication to practical innovation and excellence in autonomous technology.
