Arun Seetharaman

Arun Seetharaman has had a diverse range of work experiences. Arun is currently working as a Machine Learning Engineer at HeartVista.AI since 2020. Prior to that, they worked as a Research Assistant at Stanford University from April 2019 to September 2020. In this role, they developed a convolutional neural network architecture and implemented Python code to analyze MRI data for the detection of prostate cancer. Arun also collaborated with doctors to define metrics for clinical use. Before Stanford, they had an internship as FPS/KFT Electrical Engineering Intern at The Johns Hopkins University Applied Physics Laboratory in 2018. In this role, they gained experience in electrical engineering. Arun also worked as an Intern at HERRICK TECHNOLOGY LABORATORIES, INC. in 2016, where they developed scripts and worked with various lab equipment. Arun also served as a Teaching Fellow at the University of Maryland - A. James Clark School of Engineering from September 2015 to May 2016.

Arun Seetharaman pursued a Bachelor of Science (B.S.) in Electrical and Electronics Engineering from the University of Maryland between 2014 and 2018. Subsequently, they attended Stanford University from 2018 to 2020, where they obtained a Master's degree in Electrical and Electronics Engineering.