Srikanth reddy Yalamakuru

1. Python based tool development to improve co-simulation efficiency 2. Supported XiL (MIL, SIL, HIL) tests by developing scenarios compliant with ISO 26262 standards and EuroNCAP requirements 3. Conducted simulations to test various ADAS/AD functions and sensor models 4. Integrated customer-specific functions into CarMaker simulation environments 5. Collaborated with cross-functional teams in Automating internal processes using python Tools:IPG CarMaker,Xpack4,Python,MATLAB/Simulink,C/C++,QT, XML,GIT,JSON

Implemented panoptic segmentation for autonomous vehicle navigation in pedestrian zones. Researched deep-learning approaches Created a custom pedestrian dataset, developed a ROS module for image data extraction from ZED Stereo Cameras, and prepared data for training. Optimized model performance and runtime efficiency for edge deployment, exporting to ONNX format. Integrated panoptic segmentation inference into ROS. Tools: Python, C/C++, PyTorch, ONNX, FINROC (ROS), Linux, Jetson AGX, OpenCV, Git

Developed MATLAB tools for visualizing and analyzing energy-efficient function data. Designed modular, OOP-based tool architecture and implemented algorithms for MPC data. Assisted in tool testing, documentation, and AI algorithm optimization. Supported benchmarking with CAN loggers, GPS data, MATLAB preprocessing, and visualization. Conducted system simulations, error detection, and troubleshooting. Tools: MATLAB/Simulink, Python, Git, Azure DevOps, UML, CANalyzer

Automotive Software & Systems Engineering, Software Engineering, Safety & Reliability of Embedded Systems, Bus Systems (CAN, LIN, Flexray, Ethernet), Vehicle Dynamics, Control Engineering, Electromobility, Real-Time systems, C++, Automotive E/E, Artificial intelligence