Kalyan Sunkavalli

Kalyan Sunkavalli

Principal Scientist @ Adobe

About Kalyan Sunkavalli

Kalyan Sunkavalli is a Principal Scientist at Adobe, where he leads a team focused on computer graphics and machine learning. He has extensive experience in research and development, having worked at notable companies such as Microsoft Research and Mitsubishi Electric Research Labs.

Current Role at Adobe

Kalyan Sunkavalli currently serves as a Principal Scientist at Adobe, a position he has held since 2021. In this role, he leads a team at Adobe Research that focuses on developing innovative solutions in the fields of computer graphics and machine learning. His leadership is instrumental in advancing the company's research initiatives.

Previous Experience at Adobe

Kalyan Sunkavalli has an extensive history with Adobe, having worked there in various capacities. He served as a Research Intern in 2008 for four months, followed by a role as a Research Scientist from 2012 to 2016 for four years. He then progressed to the position of Senior Research Scientist from 2016 to 2021, where he contributed to significant research projects before becoming a Principal Scientist.

Work Experience in Other Organizations

Before his tenure at Adobe, Kalyan Sunkavalli worked at several other organizations. He was a Software Development Engineer at Talisma for one year from 2003 to 2004. He also completed internships at Mitsubishi Electric Research Labs from 2006 to 2007 and at Microsoft Research in 2009. These experiences contributed to his expertise in research and development.

Education and Expertise

Kalyan Sunkavalli holds a Ph.D. in Computer Science from Harvard University, where he studied from 2007 to 2012. He also earned a Master of Science in Computer Science from Columbia University from 2004 to 2006. His undergraduate degree is a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Delhi, completed from 1999 to 2003. His academic background supports his expertise in computer graphics, 3D vision, and machine learning.

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