Lucida: Infrastructure for Emerging Intelligent Web Services
As Intelligent Personal Assistants (IPA) such as Apple Siri, Google Now, Microsoft Cortana, and Amazon Echo continue to gain traction, webservice companies are now providing image, speech, and natural language processing web services as the core applications in their datacenters. These emerging applications require machine learning and are known to be significantly more compute intensive than traditional cloud based web services, giving rise to a number of questions surrounding the designs of server and datacenter architectures for handling this volume of computation.
I am a Ph.D. student in the Department of Computer Science and Engineering at the University of Michigan advised by Jason Mars, Lingjia Tang, and Trevor Mudge. I am part of Clarity Lab and affiliated with the Computer Engineering Lab. My research focuses on system design for emerging cloud-based applications. I am co-founder and VP of Engineering at clinc, an Ann Arbor, MI based startup designing personal assistant technologies.