Nakul Patel, a Robotics graduate from University of Maryland at College Park, is an experienced software engineer with a keen interest in developing cutting-edge computer vision algorithms for autonomous vehicles. Adept at researching and implementing state-of-the-art deep learning architectures and software development/integration for robotics systems, Nakul's skills extend beyond his field of study to include programming expertise in C++, Python, C, and Java. He also boasts extensive familiarity with Robotics Framework/Libraries (ROS, Gazebo, RViz, OpenCV, Point Cloud Library(PCL), MoveIt, Numpy), Softwares (MATLAB, SolidWorks, AutoCad, V-Rep), Deep Learning Frameworks (Tensorflow, Keras, Pytorch, MLFlow), Git Version Control, CMake, Software Development Life-Cycle(SDLC), Memory Profiling (Valgrind), Documentation (Doxygen), GTest Unit-testing, Continuous Integration (Jenkins, Travis), Static Code Analysis (Cppcheck), Docker, and various interpersonal skills, such as optimistic, punctual, organized, teamwork, and eagerness to learn new skills/technologies.

Nakul has previously held positions as a robotics software intern at Verdant Robotics, Inc., graduate teaching assistant and computer vision/artificial intelligence intern at the University of Maryland, and a systems engineer trainee at Infosys before moving on to become a software engineer for computer vision at Sturfee Inc. His impressive educational credentials include M.Eng, Robotics from the University of Maryland, B.E Mechatronics Engg., Robotics, Industrial Automation, with a GPA of 8.56 from G H Patel College of Engineering & Technology, as well as certification as a Self-Driving Car Engineer from Udacity.