Shabhareesh Komirishetty
About Shabhareesh Komirishetty
Shabhareesh Komirishetty is a Staff Applied Research Scientist at Adobe, where he has worked since 2023. He has a diverse background in research and engineering, with previous roles at Yahoo, Nokia, and the University of Illinois at Chicago.
Work at Adobe
Shabhareesh Komirishetty has been employed at Adobe since 2023 as a Staff Applied Research Scientist. In this role, he has contributed to the development of a recommendation engine named ODIN, which enhances user experience on the Adobe Express home page by providing personalized content such as Geo Seasonal, Trending, and Recommended For You feeds. Prior to his current position, he served as a Senior Applied Research Scientist at Adobe from 2021 to 2023, where he developed template generation algorithms for Adobe Express Assistive Search utilizing advanced foundation models.
Education and Expertise
Shabhareesh Komirishetty holds a Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering from Vellore Institute of Technology, which he completed from 2006 to 2010. He further advanced his education by obtaining a Master's degree in Computer Science from the University of Illinois Chicago, studying there from 2011 to 2013. His academic background provides a strong foundation for his expertise in machine learning and data science.
Background
Before joining Adobe, Shabhareesh Komirishetty gained diverse experience in various roles within the tech industry. He worked at Yahoo from 2014 to 2021, where he held positions as a Software Engineer and later as a Senior Research Engineer. His earlier experience includes a role as a Research Engineer at Yahoo Research and internships at Nokia and NeuStar Inc. These roles contributed to his development in software engineering and research.
Achievements
Shabhareesh Komirishetty has made significant contributions in the field of applied research, particularly in developing algorithms for template generation and enhancing recommendation systems. His work on the ODIN recommendation engine at Adobe exemplifies his ability to integrate machine learning with user experience design. Additionally, his specialization in encoding various components of templates into a creative machine learning format (CML) showcases his technical skills and innovative approach.