About

I’m a senior data scientist at Intuit Mailchimp working on developing tailored email marketing content for millions of customers using Generative AI. I am truly grateful for the chance to collaborate with awesome folks from engineering, to data science, product, and design. We experiment fast, learn fast, and ship fast. Every week is a new adventure.

I’m also passionate about sharing knowledge and expertise at the interface of AI, industry use-cases, and research. My Medium blog on applying state of the art AI including LLMs in real-world scenarios is read by tens of thousands of viewers every month. I run a growing YouTube channel on Data Science In Everyday Life. I also teach a live course on LLMs in production at Oreilly.

I’m writing a book with Oreilly on how to bring enterprise data into LLMs using Retrieval Augmented Generation (RAG).

Prior to that I was a Senior Data Scientist in the Risk Intelligence team at OnSolve where I developed AI based algorithms for rapidly detecting critical emergencies through big data. I’m also an Assistant Research Scholar at the University of Maryland, College Park. Before that, I was an assistant professor of physics at Georgia Gwinnett College, and a post-doctoral fellow at Georgia Tech , where I studied the impacts of large-scale vehicular hacks on transportation networks. I received my PhD in physics at Emory University.