Krishna Kumar Pattabiraman
About Krishna Kumar Pattabiraman
Krishna Kumar Pattabiraman serves as the Director of Engineering at Digital.ai in Bengaluru, Karnataka, India, where he has worked since 2018. He has extensive experience in developing AI and machine learning solutions for IT service management and DevOps.
Work at Digital.ai
Krishna Kumar Pattabiraman has served as the Director of Engineering at Digital.ai since 2018. In this role, he has focused on developing innovative solutions that leverage artificial intelligence and machine learning. One notable project is the IT Change Risk Prediction solution, which aims to manage and reduce change failure rates while improving incident resolution times. His contributions have been integral to enhancing the company's offerings in IT service management.
Previous Experience in Software Development
Before joining Digital.ai, Krishna Kumar Pattabiraman worked at Oracle India Private Limited as a Software Development Manager from 2005 to 2014. During his nine years at Oracle, he gained extensive experience in software development and management. Following his tenure at Oracle, he held the position of Architect at Wipro from 2014 to 2016, where he designed the Flow Acceleration solution aimed at helping IT organizations adopt agile and DevOps methodologies.
Education and Expertise
Krishna Kumar Pattabiraman holds a Bachelor of Engineering degree in Electrical and Electronics from the University of Madras, which he completed from 1999 to 2003. He also earned a Master of Business Administration (MBA) in Systems Engineering from the same university during the same period. His educational background has equipped him with a strong foundation in both engineering and business management, enhancing his expertise in IT service management and analytics solutions.
Innovations in IT Service Management
Throughout his career, Krishna Kumar Pattabiraman has developed several innovative solutions in the IT service management domain. At EY, where he worked from 2016 to 2018 as a Manager, he created an IT Service Management Process Optimization solution that utilized natural language processing for incident topic clustering. This solution provided enhanced insights into incident, problem, and IT service request management, demonstrating his commitment to improving operational efficiency.