Sangamesh Ragate
About Sangamesh Ragate
Sangamesh Ragate is an MTS and Parallel Distributed Algorithms Engineer at Cerebras Systems, where he has worked since 2018. He holds a Master's degree in Computer Engineering from the University of Tennessee-Knoxville and has extensive experience in high-performance computing and deep learning algorithms.
Work at Cerebras Systems
Sangamesh Ragate has been employed at Cerebras Systems since 2018, where he holds the position of MTS / Parallel-Distributed Algorithms Engineer. In this role, he focuses on developing high-performance kernels and libraries tailored for deep learning algorithms. His work contributes significantly to the company's advancements in high-performance computing and deep learning technology.
Education and Expertise
Sangamesh Ragate earned a Master's degree in Computer Engineering from the University of Tennessee-Knoxville, where he studied from 2014 to 2016. He also holds a Bachelor of Engineering in Electronics and Communication from M.S. Ramaiah Institute of Technology, completed between 2006 and 2010. His educational background supports his expertise in parallel-distributed algorithms and high-performance computing.
Background
Prior to his current role, Sangamesh Ragate worked at Mistral Solutions Pvt. Ltd as a Senior Design Engineer from 2010 to 2014. He then transitioned to Colfax International, where he served as an HPC Research Engineer from 2017 to 2018. He also gained experience as an HPC Research Intern at Colfax International in 2016 and as a Graduate Research Assistant at the Innovative Computing Laboratory from 2014 to 2017.
Professional Experience
Sangamesh Ragate has accumulated extensive experience in high-performance computing throughout his career. He transitioned from an HPC Research Engineer role to his current specialization in parallel-distributed algorithms. His professional journey includes significant contributions to various projects and initiatives in the field of deep learning and high-performance computing.