Shehroz Bashir Malik

ML model development & deployment for cloud, on-premise, and in-vehicle Specialized in AI solutions for autonomous cars, focusing on perception & scenario detection Proficient in object detection integrating 2D/3D data (LiDAR) with TensorFlow/PyTorch Developing GenAI solutions (LLMs) within the automotive context using Retrieval Augmented Generation and Parameter Efficient Fine Tuning using LangChain, Streamlit, Amazon Bedrock, Sagemaker Familiar with Azure DevOps & Docker for streamlined model deployment.

Creating digital twins for various Autonomous Vehicle use-cases inside the CARLA Simulator Development of Object Detection Algorithms inside the CARLA simulator Researching UAV deployment and placement Co-Author of a yet to be published paper titled 'A Review of possible energy-efficient solutions for UAV Base Station Placement Problem' Time Series analysis of a Traffic Volume Prediction Model using Facebook Prophet, XGBoost and LightGBM

Development of a 3D path planning and navigation architecture using ROS for Mobile Robots Experimentation of Move Base Flex with different global and local path planners Adapting UGVs to 3D scenarios while simulating Quadrotors

Part of a 30 person team dealing exclusively in Systems Engineering Requirements Capture and Management - Wrote Requirements, Documentation and Managed Access Rights in Polarion Modelled L1 and L2 Aircraft functions using SYSML in Capella Thorough knowledge of the ARP-4754A and 4761A Automated Systems and Software Development Process in Polarion Communicated and Collaborated with 6 different departments to implement project-specific features in Polarion's backend

Grade: 1.4