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I’m Nikhil Sunder, a package architect building research-grade, open-source scientific Python SDKs. I design durable client libraries for financial and macroeconomic data infrastructure — most notably fedfred, a modern client for the Federal Reserve’s FRED API, and edgar-sec, a client for the U.S. SEC’s EDGAR API. Both ship as live PyPI/conda-forge artifacts with OpenSSF Best Practices and Codecov standing. My background is in quantitative economics, finance, and mathematics, and my research sits at the intersection of state-space models, spectral decomposition, reinforcement learning for monetary policy, and the data infrastructure that makes that work reproducible.

See my software, research interests, or more about me.