• CS student focused on software that feels real, useful, and technically sharp.
• Interested in full-stack products, AI tooling, data-driven systems, and polished developer experiences.
• I like taking ideas from class projects or random experiments and pushing them into something people can actually use.
• Right now I am optimizing for stronger engineering instincts, better shipped work, and a portfolio with range.

Location: U.S.
Focus: Full-stack engineering, AI tools, product-minded software
Mode: Build -> test -> refine -> ship
Goal: Turn student projects into portfolio-grade work

> Building full-stack projects
> Exploring AI-powered tools
> Leveling up in systems, clean architecture, and product thinking
> Turning student work into portfolio-worthy software

A larger personal build with strong product direction, more engineering depth, and room for ambitious iteration.

A data-heavy project focused on prediction, modeling, and extracting patterns from financial relationships.

A compact project that leans into clean execution, practical value, and simple but solid product thinking.

A campus-oriented build that reflects student identity, experimentation, and community-focused ideas.

Coursework-driven project work centered on data analysis, implementation, and applied technical problem solving.

Build things that matter.
Learn aggressively.
Ship before perfect.
Repeat.