Qazi Rameez Bin Naeem Email and Phone Number

Specialized in Machine Learning/Computer VisionCreated products from research to production and to the customers successfully.Scenario Cloning:* Part of AI Research Team working on scenario cloning – extracting real-world details from vehicle data for replicating the scenarios and real-world environment into the simulation.* Replicated partial autonomous driving stack just using a Monocular camera and GPS in starting from monocular feed and later scaled up multi-cameras covering 360 degrees.* Created methods for depth estimations that gave results near to a lidar output.* Optimizing deep learning solutions and worked on their scalability.Intelligent AI Traffic:* Building Intelligent agents that model different driving behaviors creating an uncertain and challenging environment for the car under test by exploiting state-of-the-art Reinforcement Learning & Supervised learning techniques.* Processing areal datasets and using it for replicating human driving behavior.* Tensorboard like replica (using AI) which produced graphs with intelligent preprocessing backend.

* Involved in getting hands-on experience of diving into machine-learning /deep learning research.* Researched on the application of deep learning & computer vision in the problems like self-driving along with segmentation, depth prediction & object detection.* Exploring & applying the latest advancements of deep learning/machine learning into different problems and environments

Created a self-driving RC-Car by training & deploying ML models on Raspberry PI

* Created a cluster of machines that were used to execute the daily (routine scheduled tasks).* Using Jenkins, created a cluster that allowed the users to schedule, monitor, execute their testing tasks and get the compiled results.