I'm the CEO of Lighthouz AI (a startup funded by Y Combinator). I have been a CS professor at Georgia Tech. Prior, I worked at Google and Stanford, and have built AI systems that have been used in production at Meta, Wikipedia, Home Depot, etc. At Lighthouz, we are building AI-powered assistants to procurement teams. Our AI assistants take care of data entry, PO creation, invoice auditing, and even handle end-to-end procurement tasks.I have been building core AI models for the last 14+ years experience & have written 60+ publications in the topic at top most peer-reviewed Data Mining and NLP conferences. My papers have been cited 5800+ times. My research expertise is in Natural Language Processing, Generative AI, Foundation Models, Graph machine learning, Data Mining, Text Mining. I build methods that leverage terabytes of data spanning multiple modalities and languages. I build tools that empower users to be more efficient. I am honored to be recognized as an NSF CAREER awardee, Kavli Fellow by National Academy of Sciences, Forbes 30 under 30, CRA Computing Innovation Mentor, Facebook Faculty Research Awardee, Adobe Faculty Research Awardee, Class of 1969 Teaching Fellow, ACM SIGKDD Doctoral Dissertation Award 2018 runner-up, WWW 2017 Best Paper Award runner-up, Larry S. Davis Doctoral Dissertation Award 2017, and Dr. B.C. Roy Gold Medal. My work has been covered in a documentary (Familiar Shapes), in a radio interview (WABE), and by popular press, including Wired, CNN, Wall Street Journal, Tech Crunch, New York Magazine, and more.
Listed skills include C, Algorithms, C++, Programming, and 18 others.
