I am currently Director of AI Research at Symbl.ai. Previously, I was a Senior Research Scientist and Research Science Manager at IBM Research. I graduated with a Ph.D. in Computer Science from Arizona State University's Computer Science department, where my advisor was Dr. Subbarao (Rao) Kambhampati. Prior to that, I graduated summa cum laude with a Bachelors degree in Computer Science from Arizona State.

My primary research is currently in the area of specialized large language models for conversational use cases. Prior to this, a lot of my work focusedon Sequential Decision Making, within the wider umbrella of Artificial Intelligence, and examined the issues inherent in using symbolic reasoning to bridge disparate AI, ML, and NLP techniques in service of applications such as conversational intelligence, automation of business processes, source code translation, and command line automation.

My thesis work dealt specifically with automated planning challenges in human-robot teaming. I have also worked on creating automated conversation systems, applying planning and reinforcement learning techniques to bridging symbolic and neural approaches; and on bridging HCI and AI techniques for human-agent collaboration.

You can find my resume (CV) here.

A couple of years ago, I was elected as a AAAI Senior Member, Class of 2021. In 2020, I was appointed to the committee for the ACM Special Interest Group on AI (SIGAI) as the Applied AI Officer.


If you find work that interests you on this site, or want to collaborate, please email me at kartikt at symbl dot ai or use the contact page to get in touch with me. More information about my work and interests is on the left.