Harshil Shah

Engineer Ii Development @ Convergent Science

About Harshil Shah

Harshil Shah is an Engineer II in Development at Convergent Science, specializing in physics-based models for Computational Fluid Dynamics simulations. He holds a Bachelor's degree in Mechanical Engineering from The Maharaja Sayajirao University of Baroda and a Master's degree in Aerospace Engineering from Virginia Tech.

Work at Convergent Science

Harshil Shah currently holds the position of Engineer II - Development at Convergent Science, where he has been employed since 2020. His primary responsibilities include adding new physics-based models for various simulations in Computational Fluid Dynamics. He is part of the development team that generates physics sub-models and implements general features, contributing to the advancement of simulation technologies.

Education and Expertise

Harshil Shah earned his Bachelor's degree in Mechanical Engineering from The Maharaja Sayajirao University of Baroda, where he studied from 2014 to 2018. He furthered his education by obtaining a Master of Science in Aerospace, Aeronautical and Astronautical Engineering from Virginia Tech, completing his studies from 2018 to 2020. His educational background provides a strong foundation for his work in engineering and simulation development.

Background in Research

Before joining Convergent Science, Harshil Shah worked at Virginia Tech as a Graduate Research Assistant from 2019 to 2020. During this time, he engaged in research activities that enhanced his knowledge and skills in engineering. He also served as a Graduate Student Researcher from 2018 to 2020, where he contributed to various research projects in the field of aerospace engineering.

Development Engineering Role

In his role as an Engineer II - Development, Harshil Shah is actively involved in debugging processes, which are crucial for maintaining the integrity and performance of simulation software. His focus on implementing physics-based models and features demonstrates his commitment to advancing computational methodologies in fluid dynamics.

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