Hello, I'm Snipta!

About

I’m passionate about using data and AI to improve how healthcare and biomedical research work at scale by building models and aligning people, strategy, and technology to create real-world impact.

At the NIH Office of Data Science Strategy, I lead cross-institute initiatives on clinical data interoperability (FHIR, USCDI+, Common Data Elements, and research infrastructure). I sit at the intersection of technical execution and strategic decision-making, partnering with program leadership and the research community to shape data strategy, evaluate AI investments, and build in-house pipelines that enable end-to-end analysis of grant portfolios across their full lifecycle — from issuance through closeout. The result: better visibility into how billions of dollars in federal research funding create impact.

Before that, I built NLP pipelines and data visualizations at NIH to support multi-billion-dollar funding analysis, and developed production-grade telecommunications tools as a Software Engineering Intern at Microsoft. I’m focused on connecting the health data ecosystem so that better data flow leads to better research and better outcomes, and I’m deepening my toolkit through an M.S. in Artificial Intelligence at UT Austin to help make that future real.