My Projects

Upload your resume and a job posting — the app scores your match percentage, surfaces your exact skill gaps, and generates a tailored cover letter. Built on a full RAG pipeline: PDF parsing, vector embedding, retrieval, and GPT-4o-mini completion with structured output. A production AI tool built for real use.

A domain-specific AI agent built with LangGraph and Django. Routes plain-English queries through a multi-node state graph across 10+ topic domains — live weather tools, knowledge base Q&A, and conversation memory. Engineered specifically to prevent hallucination on regulation-sensitive topics.

A Django web app that scores 10-day weather forecasts against the variables that actually drive deer movement — wind, pressure, temperature swing, and moon phase. Returns a ranked list of your best hunting days so you stop guessing. Features location management and a responsive dark UI.

Full-stack personal finance tracker with a Django REST Framework backend and React frontend. Features token authentication, category management, full CRUD, expense visualization with chart breakdowns, pytest unit tests, and a GitHub Actions CI/CD pipeline.

A full-stack golf community platform where players log rounds, share course reviews, and track performance over time. Built with Django REST Framework, React, and PostgreSQL. Features user authentication, full CRUD, and a clean responsive UI.

A domain-specific ballistics calculator for archers. Configure your arrow components — shaft, point, fletching — and get real-world kinetic energy, momentum, and ethical harvest thresholds by game animal. Users save and compare custom builds.

Interactive dashboard analyzing 39,000+ US aviation incidents from the NTSB database. Features dynamic filters, KPI metrics, trend analysis, aircraft make breakdowns, and a US choropleth map. Built by an FAA-certified A&P mechanic — domain expertise that goes beyond the data.

End-to-end personal finance analysis covering 1,500 transactions across 5 years. Full data pipeline from raw CSV through SQL analysis to interactive deployment, including a 6-month linear regression forecast. Shows the data engineering foundation behind the more complex production apps.