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Saurabh Garg has a wealth of experience in the field of machine learning and software engineering. Saurabh began their career in 2006 as a research intern at GE Healthcare. In 2007, they joined TeamF1 as a Software Engineer. In 2010, they moved to Aricent Group as a Senior Software Engineer. In 2015, they began working as a Research Associate at The University of British Columbia, where they worked on finding the differences between Parkinson's and Healthy subjects in fMRI data using deep-learning models. Saurabh also developed and maintained an efficient data processing pipeline for structural MRI, fMRI and other brain Mapping. In 2021, they joined Prenuvo as a Machine Learning Applied Scientist.

Saurabh Garg received their Master of Applied Science degree in Electrical and Computer Engineering (Biomedical Program) from The University of British Columbia between 2011 and 2014. Prior to that, they earned a B. Tech in Electrical, Electronics and Communications Engineering from the International Institute of Information Technology between 2003 and 2007.