Shurjo Banerjee
About Shurjo Banerjee
Shurjo Banerjee is a Machine Learning Engineer specializing in Perception at Kodiak Robotics. He has a strong academic background with a PhD from the University of Michigan and experience in vision-and-language navigation for autonomous vehicles.
Current Role at Kodiak Robotics
Shurjo Banerjee serves as a Machine Learning Engineer specializing in Perception at Kodiak Robotics. He has been with the company since 2022, contributing to advancements in autonomous vehicle technology. His work focuses on enhancing the perception and mapping capabilities of autonomous systems, which are crucial for safe navigation in complex environments.
Previous Experience at Amazon
Prior to his role at Kodiak Robotics, Shurjo Banerjee worked as an Applied Scientist Intern at Amazon for three months in 2021. This position took place in Ann Arbor, Michigan, where he gained experience in applying machine learning techniques to real-world problems, further developing his skills in the field.
Research Background at University of Michigan
Shurjo Banerjee was a PhD candidate and researcher at the University of Michigan from 2015 to 2022. During this seven-year period, he focused on machine learning, artificial intelligence, and robotics. His research contributed to the academic community's understanding of these fields and laid the groundwork for his future work in perception and navigation technologies.
Undergraduate Research at Georgia Institute of Technology
Before pursuing his PhD, Shurjo Banerjee was an Undergraduate Research Assistant at Georgia Institute of Technology from 2013 to 2015. This two-year experience allowed him to engage in research projects that enhanced his knowledge in computer engineering and prepared him for advanced studies.
Educational Qualifications
Shurjo Banerjee obtained his Bachelor of Science in Computer Engineering from Georgia Institute of Technology, completing his degree in 2015. He then pursued a Doctor of Philosophy in Machine Learning, Artificial Intelligence, and Robotics at the University of Michigan, achieving his PhD in 2022. His educational background equips him with a strong foundation in both theoretical and practical aspects of his field.