As a dedicated Software Engineer with a robust engineering background, I am at the forefront of innovation in autonomous vehicles and Advanced Driver Assistance Systems (ADAS). My core expertise lies in C++ and C programming, with substantial experience in Python and MATLAB to complement my development toolkit. I am adept at utilizing a comprehensive suite of engineering and software tools such as Docker, Jenkins, RTOS, ROS, AWS, and unit tests to deliver high-quality, reliable solutions.
In my role, I focus on advancing technologies in computer vision, Lidar, and camera systems, crucial for enhancing vehicle perception and safety. I am involved in designing and implementing intelligent traffic management systems, leveraging AI and reinforcement learning to optimize traffic flow and address complex scenarios effectively. My work extends to developing simulation environments that accurately represent real-world conditions, ensuring that our systems perform reliably under a variety of situations.
With a passion for innovation, I thrive in dynamic settings where I can contribute to cutting-edge projects, improve existing technologies, and push the boundaries of what’s possible in automotive engineering. My commitment to excellence drives me to continuously explore new technologies and methodologies, striving to enhance vehicle performance and safety through meticulous software engineering.