I am a driven and passionate individual with a bachelor's degree in Mechanical Engineering and over three years of industrial experience. Currently, I am pursuing my Master's in Robotics at the University of Maryland, College Park, where I have had the opportunity to work on several exciting projects in the fields of autonomous robotics, including Computer Vision, Deep Learning, and ROS.
During my most recent internship in the summer of 2022, I had the opportunity to work as a Robotics Software Engineer, where I was responsible for implementing dynamic pose estimation on a UR10e manipulator. This experience has further reinforced my interest in the field of Robotics and Computer Vision and has motivated me to seek a full-time role in these areas. If you are interested in learning more about my experience and skills, please feel free to explore my website and reach out to me for any further information. Thank you for visiting!
Madhu Narra Chittibabu
4009 Gallatin Street, Apt 204
Hyattsville, MD 20781 US
(240) 259-1980
madhunc117@gmail.com
Developed a Computer Aided Detection System for the classification of Malaria infected cells in thin blood smear images using a custom CNN network trained on the National Library of Medicine Malaria Dataset achieved a F1 score of 96.02%.
Master of Engineering in Robotics• May 2023
In pursuit of my Master's degree in Robotics at the University of Maryland, College Park, I have taken a focused approach towards courses in Computer Vision, Deep Learning, and Robot Operating System (ROS).
Throughout my academic journey, I have completed a range of relevant and rigorous courses, including CMSC733: Computer Processing of Pictorial Information, CMSC422: Introduction to Machine Learning, ENPM808X: Software Development for Robotics, ENPM809Y: Robot Programming using C++, ENPM673: Perception for Autonomous Robotics, ENPM661: Planning for Autonomous Robotics, ENPM809T: Building Autonomous Robotics, ENPM690: Robot Learning, and ENPM667: Control systems for Robotics. These courses have equipped me with an in-depth understanding of the latest developments and techniques in the field of Robotics and Computer Vision, providing me with the skills and knowledge necessary to tackle complex challenges in this exciting and dynamic field.B.Tech in Mechanical Engineering• May 2018
During my under graduation studies, I enrolled in courses such that my curriculum was more focused on Robotics. Some courses are Control Engineering, Mechatronics, Automation, and Machine Design.
Secured 27th place in AIAA – DBF (American Institute of Aeronautics and Astronautics Design Build Fly) as part of a Aero-modeling college club.Robotics Software Engineering Intern • Jun 2022 - Aug 2022
Design Engineer• Jul 18 - May 21
My skills include expertise in multiple programming languages such as C, C++, Python, and MATLAB. Additionally, I have hands-on experience with various software tools and platforms such as Linux, ROS1, ROS2 (Humble), OpenCV, Gazebo, RViz, PyTorch, TensorFlow, Raspberry-Pi, Docker, CMake, TravisCI (Continuous Integration), Coveralls (Code coverage), Gtest, Git (version control), UML, AIP (Agile Iterative Process), and Jira. My domain skills include computer vision, deep learning, and path planning, which I have honed through extensive work in these areas. With my proficiency in these skills and tools, I can efficiently design and develop innovative solutions in a variety of projects.