About

Utsav Sheth is a highly skilled software engineer with a strong interest in distributed systems, cloud computing, and writing scalable fast code. With almost five years of relevant experience, he is currently working as a Software Engineer at ThousandEyes, which is a part of Cisco. Utsav has a Master of Science degree in Information Networking from Carnegie Mellon University, where he also worked as a Research Assistant. During his time at Carnegie Mellon, he worked with a team of theorists to implement distributed versions of machine learning algorithms using coding theory on AWS. He also implemented a distributed failure-tolerant variant of MRPT, a KNN algorithm using coded matrix multiplication. Additionally, he is building a Mesos framework with a scheduler for distributed linear algebra with algorithm-based fault tolerance using coding techniques for his thesis. Prior to his current role, Utsav worked as a Senior Software Engineer at Automation Anywhere. He has also published three papers, including two first-author publications, on topics related to machine learning and deep learning. Utsav's technical skills include software engineering, deep learning, machine learning, research scientist, and AWS. He is a highly motivated individual who is always looking to learn and improve. Utsav is a valuable asset to any team and is capable of taking on complex projects with ease.