About

Keerthan Vasist is a highly skilled software engineer with over 6 years of relevant experience in the field. He is currently employed as a Software Development Engineer II at Amazon, where he is a founding engineer in SageMaker Clarify - an AWS offering for bias detection and machine learning explainability. Keerthan specializes in machine learning explainability and is passionate about developing systems that are transparent and unbiased. Prior to his current role, Keerthan worked as a Software Development Engineer at Yahoo, where he was responsible for working on the Identity side to facilitate GDPR privacy dashboard to authenticate, authorize, and terminate accounts, as per requirements. He also worked on Yahoo! Identity stack to enhance Account Recovery flow to include classifier response to better protect users from abuse. Additionally, he worked as a Technical Intern II at Yahoo, where he designed and implemented in Java a set of alternative RESTful web services to decouple the testing process for Yahoo’s account service from its dependent web services. Keerthan holds a Master’s Degree in Computer Science from the University of Southern California and a Bachelor of Technology in Mechanical Engineering from the National Institute of Technology Karnataka. He is highly skilled in various technologies, including Software Engineering, Machine Learning, AWS, Sagemaker, Web, test, and Java. Overall, Keerthan is a dedicated and highly skilled software engineer with a passion for developing transparent and unbiased machine learning systems. He is an asset to any team and is always looking for new challenges to take on.