I am a Machine Learning Scientist at Amazon Music where I work on dialogue systems and spoken language understanding for Alexa. My research interests are in convex, non-convex and combinatorial optimization, reinforcement learning and their applications to problems in bioinformatics, conversational AI, natural language processing, ranking and large-scale distributed systems. I received my Ph.D. in Computer Science in 2012 from Rensselaer Polytechnic Institute, where I was advised by Kristin Bennett.
At Amazon, I proposed and led early research and development of a goal-oriented dialogue system for music on Alexa. This work was eventually spun out into an engineering team of six. The first version of the product released in Dec 2018 was widely praised and received international presss coverage in TechCrunch, FastCompany, The Verge, VentureBeat
Currently, I work on research and development of deep learning models for spoken language understanding on Alexa.
More information about my research projects and publications can be found here:
aminashabbeer.com 