Ali Rehman
BS Electrical Engineering , LUMS
About Me
Hello! I’m Ali Rehman, a Machine Learning & Computer Vision Engineer currently working at Emblem Technologies. My work focuses on training and deploying computer vision and generative AI models, supported by backend development using FastAPI and WebSockets, along with strong experience in MLOps, AWS SageMaker, EC2, and optimized edge/embedded deployments.
Previously, I worked at Software Motion as an Algorithm Engineer, contributing to 3D LiDAR and visual SLAM for ADAS systems. I also bring research experience from the LUMS Agriculture Robotics Lab, where I worked on TinyML, model sparsity, ARM Neon acceleration, and efficient deep learning deployment on mobile robotic platforms.
My expertise spans computer vision, SLAM, generative AI, embedded AI, backend services for AI systems, and efficient on-device inference. Connect with me on LinkedIn to explore my work or collaborate.
Email : alee.rehmaann@gmail.com
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.
