About

Keshav Kothari is a strategic consultant at Woolpert with a passion for using artificial intelligence (AI) and machine learning (ML) to solve transportation and mobility problems. He has a Master of Science degree in Transportation Engineering from the University of California, Berkeley, where he worked on projects involving adaptive traffic control, text detection and recognition, object detection and tracking, and analyzing user sentiments. Keshav also holds a Bachelor of Technology in Civil and Environmental Engineering with a minor in Mechanical Engineering from the Indian Institute of Technology (IIT) Guwahati. He is proficient in Python and has experience writing code in Matlab, Java, C, C++, and R. Prior to joining Woolpert, Keshav worked as a Graduate Student Researcher and Graduate Student Instructor at UC Berkeley College of Engineering. He has 3.94 years of relevant experience in the field of transportation engineering and has a strong technical background in ML, object detection, and AI. Keshav is motivated by the potential impact of using AI and ML in the transportation domain to improve mobility around the world. He is a dedicated researcher and consultant with a track record of success in applying innovative solutions to complex problems.