Sugandh Raj is a Systems Test Engineer based in St. Louis with eight years of hands-on experience across autonomous driving, robotics, and systems testing. He has built behavior planning and motion planning modules, integrated control algorithms (PID/LQR), and developed LSTM-based intent and motion prediction models while contributing to Baidu Apollo and leading scrum activities. His master's research produced practical vision-based navigation and state-estimation models for autonomous quadcopters, including a 15k-image SSD-Mobilenet landmark detector and VGG-based lateral offset estimator. Comfortable bridging hardware-in-the-loop and simulation (LG Simulator) testing with data-driven model validation, he brings both deep learning chops and pragmatic systems debugging from roles at Magna and previous global IT and support positions. Colleagues describe him as a serendipitous programmer and steady problem-solver who combines academic rigor with real-world integration and testing experience.
8 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Electrical Electronics and Communications Engineering, Master of Science (M.S.) Electrical Electronics and Communications Engineering at Saint Louis University
Bachelor of Technology - BTech Electronics and Communications Engineering, Bachelor of Technology - BTech Electronics and Communications Engineering at Motivational Pathway
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Sugandh Raj - Systems Test Engineer at Magna International