Sugandh Raj

Sharath Raj is a skilled Behavior Planning Engineer with expertise in Behavior Planning and Prediction, Motion Planning, and Motion Control. He has a strong background in developing behaviors for various scenarios and optimizing trajectories using controllers like PID and LQR.

Sharath is passionate about real-life problem-solving and enjoys tackling tasks creatively. He values simplicity and discipline in lifestyle. He is a proficient communicator, engaging in diverse conversations across different domains.

Sharath Raj's key skills include Behavior Planning and Control, Deep Learning, Machine Learning, Computer Vision, Image Processing, SLAM, Git, Robotics, ROS, Docker, and Embedded Systems. He is well-versed in programming languages like C++, Python, and MATLAB, and frameworks such as Pandas, NumPy, Tensorflow, Keras, OpenCV, Scikit-learn, and Dlib.

Sharath pursued a Master of Science in Electrical, Electronics, and Communications Engineering from Saint Louis University and holds a Bachelor of Technology in Electronics and Communications Engineering from Uttar Pradesh Technical University. He has gained professional experience as a Systems Test Engineer at Magna International and previously worked as a Behavior Planning Engineer at American Haval Motor Technology LLC.

His past roles include positions at Adobe, Dell, and SONY, where he contributed to IT services and technical support. Sharath has a diverse background in engineering and technology, making him a versatile professional with a broad skill set.

Sharath Raj's academic achievements, combined with his industry experience and technical skills, position him as a valuable asset in the fields of robotics, machine learning, and computer vision. His proactive approach to problem-solving and dedication to innovative solutions set him apart in the industry.