Senior at Boston University with 3 years shipping data and backend systems that improve reliability, increase tool adoption, and retain stakeholder trust. Delivered cost, speed, and audit wins in production, including an open-source Python SDK that is the #1 Google result for its category.
3 years building data pipelines, production APIs, and developer tools.
Open-source tools and research with real users and production deployments.
Production Python SDK for ADP Workforce Now that made integrations faster to ship and easier to maintain. Includes secure OAuth2+mTLS auth, resilient retries, and typed OData query building with CI quality checks.
Pandas-like framework for Power Automate + Excel Office Scripts that brings filter/groupby/pivot/merge workflows to no-npm environments and improves automation retention.
Rust CLI that sets up GitHub Classroom autograding in under 60 seconds, cutting instructor setup time and supporting sustained use across 1,000+ student repositories.
End-to-end ML pipeline using PyTorch LSTMs to predict Slay the Spire win probability across 126K runs, with evaluation tooling and publishable research outcomes.
Languages, frameworks, and platforms I've shipped production code with.
Seeking full-time software engineering and data engineering roles starting May 2026. I build retention-oriented data and backend systems that improve reliability, adoption, and measurable business outcomes. Based in California or New York, open to hybrid or remote.