Robin Thomas

•Designed and developed a sophisticated application for calibrating surround view cameras, leveraging a combination of C++, C, and OpenCV technologies. •Performed Hardware-in-the-Loop (HIL) testing on the surround view application utilizing the R-Car V4H Evaluation Board to ensure its functionality and performance. •Leveraged advanced computer vision algorithms to execute precise image transformation and projection techniques, guaranteeing the delivery of accurate and efficient image processing solutions.

•Implemented a robust object tracking algorithm across consecutive frames for autonomous driving systems, achieving an impressive tracking accuracy of approximately 85% by leveraging Python, OpenCV, and cutting-edge machine learning techniques to optimize performance and reliability. •Implemented object detection using You Only Look Once (YOLO)-based deep learning techniques, demonstrating proficiency in deep learning methodologies. •Conducted KPI analysis on object detection and tracking modules.

•Analyzed system and software requirements for automotive applications, ensuring compliance with industry standards such as AUTOSAR, ISO26262, and ASPICE. •Proficient in enhancing applications for Advanced Driver Assistance Systems (ADAS) functionalities like Blind Spot Detection and Lane Departure Prevention using C++, adhering to ASPICE and AUTOSAR standards.

•Utilized JCL and COBOL on the Mainframe AS400 platform to gather, prioritize, and analyze requirements, as well as to develop and implement Test Plans, Test Cases, and Test Processes. •Prepared Test Strategy Plans at the commencement of each release cycle and facilitated defect management by creating and assigning defects to the appropriate Development Team members.