Computer Science student at Kansas State University (graduating May 2026) and Software Engineer at Go Local Interactive. I build full-stack web applications, with a soft spot for game development and web apps.
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Track your library, import from Steam, write reviews, follow friends, and discover games through collaborative filtering. Built solo end-to-end as my senior design project at Kansas State. The recommendation engine uses Jaccard similarity weighted with rating alignment (0.7 / 0.3), plus inverse popularity weighting and a minimum-shared-games threshold for scaling. Stack: Next.js · TypeScript · Supabase (PostgreSQL + Auth) · Tailwind v4 · IGDB API
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📸 More screenshots
Library — sortable, filterable, with hours and ratings |
Personalized recommendations from collaborative filtering |
Friend profiles with shared activity feeds |
Reviews with hours played and rating |
A cross-media tracking and discovery platform — Letterboxd, but for movies, TV shows, books, and video games in one place. The core differentiator is cross-media recommendations: "if you liked this book, you'd like this movie."
Intertaind is the spiritual successor to Crucidex, expanding the same recommendation philosophy across all four media types. In active development as a long-burn solo project.
Stack: Next.js · TypeScript · Supabase · Tailwind · TMDB · IGDB · Google Books
Comparing Deep Q-Network and Double DQN on the LunarLander-v3 environment with rigorous statistical evaluation across multiple training trials. Term project for K-State CIS 530 (AI/ML).
Stack: Python · PyTorch · Gymnasium · NumPy
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A 2D dungeon crawler built solo in C# and MonoGame. Personal project exploring game architecture, sprite animation, combat systems, and level design.
Stack: C# · MonoGame · Tiled · Aseprite
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Languages
Frameworks & Libraries
Data & Tools
If you're hiring, collaborating, or just want to chat about full-stack engineering, game dev, or applied ML — I'd love to hear from you.