About

Ajeet Wankhede is a skilled Motion Planning and Controls Software Engineer with over 6 years of experience in the field. He is currently employed at Lucid Motors, where he works on ADAS systems. Ajeet is proficient in C++, Python, and MATLAB, and has a strong academic background, with a Master's degree in Robotics from the University of Maryland - A. James Clark School of Engineering. Before joining Lucid Motors, Ajeet worked as an MV Design Engineer at L&T Switchgears, where he designed medium voltage switch-gears and coordinated with the manufacturing unit. He also solved technical queries of clients as part of his role. Prior to this, Ajeet worked as a Research Assistant at the University of Maryland College Park, where he fabricated a smart wearable device to detect breast cancer. He also worked on the manufacturing process of tactile sensors and miniaturized the related embedded hardware. Ajeet has also worked as a Research Intern at The Sheikh Zayed Institute for Pediatric Surgical Innovation, where he developed path planning algorithms for ankle rehabilitation robots to assist patients with neuromuscular disorders. He has also developed a path planning algorithm for bone fracture reduction surgery. Ajeet has published his work on heuristic-based path planning for an ablation tool used for neurosurgical tumor ablation at the SPIE medical imaging conference. Ajeet's education background includes a Bachelor's degree in Electrical Engineering from the College of Engineering Pune, as well as a Higher Secondary Certificate from DD Bytco Junior Boys College and a Secondary School Certificate from Fravashi Academy. Ajeet's technical skills include software engineering, research, and Python. He has over 6 years of relevant experience in his field.