Computer Science student at Purdue University building software across AI, full-stack apps, and practical developer tools.
I like projects where the product idea and the technical system both matter: turning messy source material into useful learning tools, building recommendation workflows, and shipping applications that real users can actually try.
- AI systems that turn documents, media, and user context into structured outputs
- Full-stack products with clean user flows, useful data models, and deployed demos
- Search, recommendation, evaluation, and learning tools
I'm especially interested in software engineering and AI/ML internship roles where I can work on systems that connect models, data, and product experiences. Right now I'm polishing my strongest repositories with better documentation, clearer demos, and more production-style engineering practices.