Mahesh Narayanamurthi
About Mahesh Narayanamurthi
Mahesh Narayanamurthi is an engineer with extensive experience in machine learning and numerical solvers. He currently works at Pepper in the New York City Metropolitan Area and has held various positions at notable institutions including Argonne National Laboratory and Virginia Tech.
Work at Pepper
Mahesh Narayanamurthi has been employed at Pepper as an Engineer since 2020. His role involves applying his expertise in engineering and machine learning to contribute to projects within the New York City Metropolitan Area. His work focuses on integrating advanced computational techniques to improve system efficiencies.
Previous Experience at Argonne National Laboratory
Mahesh Narayanamurthi worked at Argonne National Laboratory as a Givens Associates Summer Student in both 2015 and 2016. During these three-month internships, he gained valuable experience in a research environment located in Argonne, Illinois, contributing to various engineering projects.
Research Assistant Role at Virginia Tech
From 2014 to 2019, Mahesh Narayanamurthi served as a Research Assistant at Virginia Tech. In this position, he engaged in research activities that supported his academic pursuits and contributed to advancements in engineering and computer science.
Education and Expertise
Mahesh Narayanamurthi holds a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Visvesvaraya National Institute of Technology, completed from 2005 to 2009. He furthered his education at Virginia Tech, earning a Master of Science in Computer Science (2014-2016) and a Doctor of Philosophy in Computer Science (2014-2019). Additionally, he obtained a Master of Science in Industrial and Systems Engineering (Operations Research) from 2010 to 2012. His academic background supports his specialization in embedding machine learning models into numerical solvers.
Systems Engineer Experience at Optym
Before his tenure at Virginia Tech, Mahesh Narayanamurthi worked as a Systems Engineer at Optym from 2012 to 2014. In this role, he focused on developing solutions that addressed complex engineering challenges in the Gainesville, Florida Area.