Soban Ali Email & Phone Number

Served as a key researcher and developer for AI-based intelligent traffic, enhancing virtual testing capabilities of a simulation product for Autonomous Vehicles and Automated Driving Assistance Systems (ADAS).Engineered a Deep-Reinforcement Learning (DRL) based training platform empowering users to train vehicles in traffic simulation, facilitating the generation of desired scenarios and testing environments crucial for enhancing the capabilities of autonomous vehicles.Developed autonomous driving car models inside simulation using deep reinforcement and supervised learning for traffic simulation software.Implemented an intelligent decision-making pipeline for traffic simulation agents and created a live training pipeline in C++/Python.Deployed the platform and designed FastAPI-based services to allow end-users to train their own Deep RL models using customized features, reward functions, and neural networks on our platform.Conducted statistical traffic analysis using real traffic data and found insights on making the current environment more realistic.Contributed to the product roadmap and strategy by staying up-to-date with the latest research and advancements in the field of autonomous driving.

Lahore, Pakistan

Assisting instructor to support students’ learning objectives, with emphasis on Geometric Computer Vision, Machine Intelligence, Image Processing and its applications.

Lahore, Pakistan

Got associated with Computer Vision and Graphics Lab, LUMS. Major contributions are:. Worked on big data and developed a spatio-temporal Scene Classification system for autonomous vehicles for our local cities with 92% accuracy and correctly identifying phases of transition between different scenes, using deep convolutional neural networks (CNNs).

Lahore, Pakistan

Designed programming exercises for students' weekly lab sessions as Head Teaching Assistant and led 9 other TA's to manage and aid students’ learning.

Lahore, Pakistan

Based on the data of Smart Meters installed in Lahore, found energy consumption pattern within the city, visualized results and suggested an energy production plan.Prepared a report to evaluate the blockchain-based energy distribution system.