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Hugo is a fast and modern static site generator written in Go, and designed to make website creation fun again.

With a background that fuses computer science, machine learning, and quantitative finance, I enjoy turning mathematical ideas into practical models. Whether I’m optimizing media budgets with marketing-mix modeling, improving rainfall forecasts with LSTMs, building retrieval engines for legal research, or more recently predicting excess returns in the S&P 500, the common thread is rigorous modeling in real-world data.
I’m now pursuing graduate studies in Financial Engineering at NYU Tandon to deepen my toolkit in probability, optimization, and derivative securities. If your work lives at the intersection of math, machine learning, and markets, let’s connect! I’m always eager to collaborate on problems, especially when there’s tangible impact.
Hugo is a fast and modern static site generator written in Go, and designed to make website creation fun again.
Hugo is an open-source project and lives by the work of its contributors. There are plenty of open issues, and we need your help to make Hugo even more awesome. You don’t need to be a Go guru to contribute to the project’s development.