Dhanush Dineshan

I believe the thing that uniquely sets me apart from others is that I am very quick in grasping new concepts and I work effectively with others. This especially enabled me explore projects and coursework not only in core mechanical but also in controls, robotics and computer science involving - - Algorithm Development in Linux and Windows - Implementation of Path planning and trajectory synthesis using o Non-linear programming, Convex Optimization techniques (quadratic programing) in MATLAB o Sampling based techniques - Hybrid A*, Anytime A*, RRT-connect, BiRRT, RRT*, nearest neighbor function and path smoothening techniques in Python and C++ - Hardware Algorithm implementations in Beaglebone Green/Black and NXP microcontroller (S32K144) o Dynamics modelling, PID controller, SISO filters, successive loop closures controller o Odometry, Gyrodometry, Dead reckoning, Trajectory generation and following using sensors, IMUs and encoders o Developed haptic interfaces, feedback control and MATLAB Autocode generation using embedded C. - Model based engineering using MATLAB, Simulink and Stateflow - Implemented algorithms using control techniques (LQR & Model Predictive Control). - Technical Head, Vehicle Dynamics Head, vehicle tester/driver, Business presenter – University BAJA team I believe my comprehensive hands-on mechanical engineering experience coupled with my hardware and algorithm development experience enables much deeper intuitive understanding for research and development. Please feel free to reach out to me at [email protected].