Chetan T Gurulingaiah

Chetan T Gurulingaiah has a diverse work experience, starting with their current position as a Machine Learning Engineer at HEAL Software Inc. since September 2022. Prior to that, they worked as an Assistant Professor at B. M. S. College of Engineering from January 2022 to September 2022.

Chetan also has extensive experience as an Assistant Professor at Dayananda Sagar University from January 2019 to December 2021, where they focused on designing and developing mechanisms and decision support systems for multi-attribute reverse auctions in procurement.

Before their academic roles, Chetan worked as a Lecturer at Dayananda Sagar College of Engineering from February 2013 to January 2014.

Their early career was with Infosys, where they served as a Systems Engineer from November 2008 to April 2010. In this role, they developed and implemented various modules of web applications using ASP.NET C# and collaborated with process teams for change management, training, operations, and IT support for workflow implementations.

Chetan T Gurulingaiah has a diverse education history that spans several years. Starting in 2004, they attended B. M. S. College of Engineering, where they pursued a Bachelor's degree in Industrial Engineering & Management. Chetan completed their undergraduate studies in 2008.

Afterward, Chetan proceeded to RV College Of Engineering, where they pursued a Master of Technology (M.Tech.) degree in Product Design and Manufacturing. Chetan attended this institution from 2010 to 2012.

Continuing their academic journey, Chetan enrolled at the Indian Institute of Technology, Kharagpur in 2014. Over the course of eight years, they pursued and successfully obtained a Doctor of Philosophy (PhD) degree in Multi-Attribute Procurement Auctions, completing their studies in 2022.

In addition to their formal education, Chetan has also demonstrated a commitment to continuous learning by obtaining a certification in Blockchain Essentials. Chetan acquired this certification from Cognitive Class in January 2019.