Vivek Pisharodi
About Vivek Pisharodi
Vivek Pisharodi is a Senior Engineer I at Gamma Technologies, LLC, where he leads training sessions on battery modeling and collaborates with developers to enhance software features. He has a background in Material Science and Engineering and Chemical and Biomolecular Engineering, with previous research roles at prestigious institutions.
Work at Gamma Technologies
Currently, Vivek Pisharodi serves as a Senior Engineer I at Gamma Technologies, LLC, a position he has held since 2019. In this role, he leads training sessions and conference seminars that focus on calibrating battery models and utilizing GT-SUITE for modeling objectives. His responsibilities include collaborating weekly with software developers and other application engineers to design and implement new features based on customer feedback and industry trends. Prior to this role, he worked as an Application Engineer at Gamma Technologies from 2018 to 2019.
Education and Expertise
Vivek Pisharodi holds a Master of Science in Material Science and Engineering from the University of Washington, which he completed from 2017 to 2018. He also earned a Bachelor of Science in Chemical and Biomolecular Engineering from the Georgia Institute of Technology, graduating in 2016. His academic background provides a strong foundation for his work in battery modeling and engineering.
Background
Vivek Pisharodi has a diverse background in research and engineering. He worked as an Undergraduate Researcher in the Nair Research Group at the Georgia Institute of Technology from 2014 to 2016. Following this, he served as a Graduate Researcher in the Cao Research Group at the University of Washington from 2017 to 2018. Additionally, he gained practical experience as a Research & Development Engineering Intern at Suniva in 2015 and as an Academic Coach at MathSP, LLC from 2016 to 2017.
Achievements in Technical Writing
Vivek Pisharodi has contributed to the field of battery modeling through technical writing. He authored several technical blogs that address critical topics in battery modeling, including 'Building a Detailed, Highly-Predictive Battery Model from a Cell Spec Sheet', 'How to Reduce Battery Charging Time While Maximizing Battery Life', and 'Robust Battery Pack Simulation by Statistical Variation Analysis'. These publications reflect his expertise and commitment to advancing knowledge in battery technology.