I build public-good software, data tools, and local-first apps that help people understand information, communicate better, and make safer decisions.

• Civic Signal Kit: a Python toolkit for transparent public-interest trend summaries from CSV time-series data.
• ChatWithAnyone: an experimental iOS app for local-first conversational personas using SwiftUI and Apple's Foundation Models framework.
• Privacy-preserving AI workflows: tools that avoid unnecessary servers, analytics, and logging.
• Education and public communication: projects that make technical ideas easier to use and understand.

Civic Signal Kit is my strongest current OSS candidate. It is MIT-licensed, tested in CI, dependency-free, tagged at v0.2.0, published on PyPI, and designed for educators, journalists, community groups, and civic volunteers who need reproducible CSV trend summaries with visible thresholds and data-quality notes.

• User privacy comes first.
• Small, reviewable changes beat large opaque rewrites.
• Documentation is part of the product.
• Security and accessibility are maintenance work, not afterthoughts.
• Open source should be useful to real people.

• Improving test coverage and CI for Swift/iOS projects.
• Publishing small, dependency-light civic data tools with clear assumptions and examples.
• Turning early prototypes into maintainable open-source repositories.
• Building contributor-friendly issue templates, release notes, and project roadmaps.
• Exploring how Codex can reduce maintainer load for issue triage, pull request review, and release workflows.

Use GitHub issues and pull requests for project-specific discussion.