Akshith Subramanian
About Akshith Subramanian
Akshith Subramanian is a Research Engineer at Apporchid Inc in San Ramon, California, where he has worked since 2019. He holds a Master's degree in Mechanical Engineering from the University of North Carolina at Charlotte and has experience in computational fluid dynamics and predictive modeling for renewable energy.
Work at App Orchid
Akshith Subramanian has been employed as a Research Engineer at Apporchid Inc since 2019. He has worked in this role for five years in San Ramon, California. His responsibilities include developing and implementing advanced computational models and simulations, contributing to the company's research initiatives in various engineering applications.
Education and Expertise
Akshith Subramanian holds a Master's degree in Mechanical Engineering from the University of North Carolina at Charlotte, where he studied from 2016 to 2018. He also earned a Bachelor's degree in Mechanical Engineering from SRM University, completing his studies from 2012 to 2016. His academic background provides a strong foundation in engineering principles and practices.
Background
Prior to his current position, Akshith Subramanian gained practical experience through internships. He worked as a Service Engineer Intern at Concorde Motors India Ltd for two months in 2014, and as a Quality Control Intern at Pai Brothers Engineers Pvt. Ltd. from 2013 to 2014. These roles contributed to his understanding of engineering processes and quality assurance.
Research Contributions
In his research role, Akshith Subramanian has created training sets for neural networks using computational fluid dynamics (CFD) models. He has built CFD models to simulate the wake of a wind turbine and developed a regression-based predictive model specifically for renewable energy sources. These contributions reflect his focus on applying engineering principles to renewable energy challenges.
Previous Research Experience
Akshith Subramanian served as a Research Assistant at the University of North Carolina at Charlotte from 2017 to 2018. In this capacity, he engaged in research projects that enhanced his skills in data analysis and modeling, further preparing him for his current role in research engineering.