About

Varad Gunjal is an Applied Scientist at Amazon with a strong background in Distributed Machine Learning and Computer Vision. He is a graduate student at Carnegie Mellon University, where he is pursuing a degree in Electrical and Computer Engineering. Varad has over six years of relevant experience in the field, having worked for companies such as Rapyuta Robotics and Arcyus. At Rapyuta Robotics, he served as a Software Development Engineer III, where he worked on developing distributed systems for robotics applications. At Arcyus, he co-founded the company and served as a Computer Vision Engineer, where he developed algorithms for image and video processing. Varad's education includes a Bachelor's degree in Electrical and Electronics Engineering from Birla Institute of Technology & Science (BITS), Pilani, and a Bachelor Thesis in Computer Vision, Image Processing, and Neuroinformatics from ETH Zurich. He is set to complete his graduate studies at Carnegie Mellon University in December 2020. Varad's technical skills include research in Machine Learning, Computer Vision, and Software Engineering. He is a Research Scientist with a strong understanding of distributed systems and algorithms for large-scale data processing. He is also skilled in developing software for robotics and IoT applications. Overall, Varad Gunjal is a highly skilled Applied Scientist with a strong background in Machine Learning and Computer Vision. His experience and education make him an asset to any organization looking to develop cutting-edge technologies in these fields.