Senior Research Scientist, Uber AI
Chandra Khatri is a Senior AI Research Scientist at Uber AI driving Conversational and Multi-modal efforts at Uber. Prior to Uber, he was the Lead AI Scientist at Alexa and was driving the Science for the Alexa Prize Competition, which is a $3.5 Million university competition for advancing the state of Conversational AI. Some of his recent work involves Multi-modal and Embodied Understanding, Common sense and Semantic Understanding, Natural Language and Speech Processing, Open-domain Dialog Systems, and Deep Learning.
Prior to Alexa, Chandra was a Research Scientist at eBay, wherein he led various Deep Learning and NLP initiatives such as Automatic Text Summarization and Automatic Content Generation within the eCommerce domain, which has lead to significant gains for eBay. He holds degrees in Machine Learning and Computational Science & Engineering from Georgia Tech and BITS Pilani.
Uber AI is at the heart of AI-powered innovation and technologies at Uber. AI research and its applications solve challenges across the whole of Uber. Uber AI not only advances the state of AI across multiple domains such as Reinforcement Learning, Control and Sensing, Conversational AI, and Computer Vision but also open sources the tools and techniques for a wider audience.