About

Himanshu Garg is a highly skilled Computer Vision and Deep Learning Engineer with a passion for Electric Vehicles. He currently works at John Deere, where he applies his expertise in computer vision and deep learning to develop innovative solutions for the electric vehicle industry. With over 5 years of relevant experience, Himanshu has a proven track record of success in this field. Prior to joining John Deere, Himanshu worked at Mercedes Benz as a Software in Loop Developer for Vehicles and Components. He was responsible for plant modeling, continuous integration and development using Jenkins, automation of validation tasks, and coordination with component owners. At Tata, Himanshu was a Senior Designer and Developer for Electric Vehicles. He played a key role in the design and development of the Tata Nexon full electric vehicle architecture, battery pack design, battery pack thermal management, and model-based design of the battery cooling system. He also contributed to component level and vehicle level verification and validation of the battery cooling system, thermal management of on-board charger, traction motor, inverter, and DC-DC converter, and planning and development of fully automated hardware in loop systems for BCM, instrument cluster, and more. Himanshu holds a Master of Technology (M.Tech.) degree from the Indian Institute of Technology, Bombay, and a Bachelor of Technology (B.Tech.) degree from Punjabi University. His technical skills include computer vision, deep learning, CI/CD, research scientist, Jenkins, search, integration, and designer. Himanshu is a highly motivated and dedicated professional who is always looking for new challenges and opportunities to learn and grow. He has a strong work ethic, excellent problem-solving skills, and a passion for innovation. With his extensive experience in computer vision and deep learning, combined with his expertise in the electric vehicle industry, Himanshu is a valuable asset to any organization.