I'm now at Amazon, working on representation learning (LLMs, foundation models, and beyond) for enterprise data and leading GenAI science initiatives to improve enterprise data tasks, insights, and business outcomes for sellers. I continue co-leading (with Mike Stonebraker) the effort at MIT CSAIL to make LLMs work better for enterprise data tasks. I also collaborated on DBOS until recently, where my contributions involved debugging tools and ML applications for DBOS.
My research interests broadly focus on making data-centric systems intelligent to augment and automate user and system tasks. In practice, this means I work on developing systems and techniques that encompass data systems, AI, and HCI research.
Previously, I was Chief Research Scientist at Sigma Computing, a SaaS startup for cloud business data analytics, where I built and led the multidisciplinary data systems research group. Before Sigma, I held Senior Research Scientist, Research Staff Member, and Research Intern positions at Megagon Labs, IBM Research, and Microsoft Research Cambridge (UK), respectively. Between 2012-2014, I was a postdoctoral scholar at Stanford and a member of IDL at the University of Washington. I obtained my Ph.D. from Brown University and co-founded Fitnescity to provide easy access and data analytics for wellness lab tests.