About

Arjun Deshmukh is a highly skilled Product Owner and ADAS Algorithm Developer with a keen interest in Dynamics and Controls, Sensor Fusion, and ADAS Feature Development. He is currently working at Aptiv as an Advanced Software Engineer and leads a team of engineers to develop and release Vehicle State Estimation Algorithms for ADAS features. Arjun has a strong background in developing and debugging algorithms for IMU signal processing, vehicle sideslip estimation, and vehicle path curvature estimation. He has converted legacy C/C++ code to Model-based Software (Simulink and MATLAB) and developed algorithms for Dynamic Tire Radius Estimation, Wheel Odometry based Vehicle State Estimation, Kalman Filter Based GPS/IMU fusion, Steering Wheel Angle Offset Estimation, and Bicycle Model-Based Lateral Velocity Estimation. Arjun has ensured ASPICE Compliance for Vehicle State Estimation Software Component and delivered Vehicle State Estimation Software for various ADAS, Level 2+ vehicle safety projects for automotive OEMs. Prior to his current role, Arjun worked at Aptiv as an ADAS Algorithm Developer, where he developed and delivered Model-based Lane Change Warning Algorithm for Emergency Lane Keeping ADAS Side Feature and ensured ASPICE Compliance for Lane Change Warning Algorithm. Arjun holds a Master's degree in Mechanical Engineering from the University of Michigan and a Bachelor's degree in Mechanical Engineering from IIT. He has also completed the Self-Driving Car Nanodegree and Intro to Self-Driving Cars Nanodegree Program from Udacity. Arjun is proficient in Software Engineering and C and has 3.43 years of relevant experience. He has also worked on a Course Project - Self-Driving Cars: Perception and Control during his time at the University of Michigan, where he implemented the RRT* algorithm with obstacle avoidance to plan a path along a part of the “Circuit of the Americas” F1 track with obstacles and tracked the path using feedforward and feedback PID controller for the bicycle model of an RWD car with steering and rear wheel force control.