About Me
I currently work at MindMeld, an exciting AI startup based in San Francisco, CA, that helps Fortune 500 companies successfully build intelligent deep-domain conversational user interfaces. Think Siri, Google Now, Cortana or Alexa for your own custom applications, solving use cases specific to your domain.
Before joining MindMeld, I was at Microsoft for more than than six years, most recently as a Senior Scientist in the Microsoft AI and Research Division. As part of the Bing Speech and Language Sciences team in Microsoft Silicon Valley, I worked on improving conversational understanding models for Microsoft's speech-enabled products such as Cortana on Windows / Windows Phone and the Xbox Kinect. In my previous roles at Microsoft, I worked as a Research Engineer in the Bing Natural Language Features Team, headed by Ron Kaplan and as a Software Development Engineer in the Natural Language Group of Microsoft Office.
Before joining Microsoft, I graduated from Stanford University with an MS in Computer Science (specializing in Artificial Intelligence) with Distinction in Research in Natural Language Processing. Throughout the duration of my Masters studies, I was a graduate research assistant at the Stanford Natural Language Processing Group (part of the Stanford AI Lab) and worked on the problems of Coreference Resolution, Situated Human-Robot Interaction, Text Message Normalization and Statistical Machine Translation. I have had the privilege to be advised by the first authors of the two most popular textbooks in NLP, Prof. Christopher Manning and Prof. Dan Jurafsky.
I hold a Bachelor of Technology (B.Tech) degree in Computer Science and Engineering from the National Institute of Technology Calicut in India. I have done my schooling from Prakash Higher Secondary School (affiliated to the Central Board of Secondary Education, Delhi) at Ahmedabad.
Research Interests
Natural Language Processing, Conversational Human-Machine Interaction, Information Retrieval and related fields of Artificial Intelligence
Useful Links*
JavaNLP - Statistical NLP toolkits for various major computational linguistics problems, developed by the Stanford NLP group
Stanford CoreNLP - A suite of core NLP tools including our new coreference resolution system from EMNLP 2010
Phrasal - Stanford's phrase-based statistical machine translation system
Stanford SMS Translator - SMS text normalization tool from our CS224N project at Stanford
DAGAP - Some helpful tips for US graduate school aspirants
[*Not updated since my Stanford days]Alma Mater
Contact
Preferred Email: "kr" at this domain.
