About

Chirag Rao is a highly skilled DevOps Engineer with over 4 years of relevant experience in the field of Artificial Intelligence, Machine Learning, and Data Science. He is currently employed at Tesla, where he is responsible for implementing DevOps strategies and ensuring the smooth functioning of the company's IT infrastructure. Chirag completed his Master's degree in Computer Science, specializing in Artificial Intelligence, from the Illinois Institute of Technology in 2019. He also holds a Bachelor's degree in Information Technology from SRM University and has completed a non-degree program in Computer Science from the University of Wisconsin-Milwaukee. During his academic career, Chirag gained valuable experience through various internships. He worked as a Machine Learning Research Intern at the Buck Institute for Research on Aging, where he used Machine Learning methods to analyze proteomics and genomics data gathered from Mass Spectrometry analyses. He identified biomarkers for various diseases and predicted cell behaviors in senescence. As a Data Science Intern at Dozee, Chirag was involved in analyzing heartbeat's RR signals and computing the Heart Rate Variability (HRV) for different signals. He calculated various time series variables and used the Welch method to compute and visualize Power Spectral Density Estimate (PSD). Chirag's technical expertise includes DevOps, Machine Learning, Research Scientist, and Data Scientist. He is a highly motivated and results-driven individual who is always eager to learn and explore new technologies. He is a team player and has excellent communication skills, which makes him a valuable asset to any organization.