AI systems
I build model pipelines and intelligent agents with careful validation, efficient routing, and practical interfaces.
I am a Computer Science student at Purdue building AI systems, full-stack products, and tools that turn ambitious ideas into useful experiences.
I build model pipelines and intelligent agents with careful validation, efficient routing, and practical interfaces.
I ship web experiences with React and Next.js, backed by APIs, authentication, and production-ready data systems.
I prototype real-time vision and robotics tools with Python, OpenCV, Flask, C++, and NumPy.
A quick snapshot of the teams and projects that shaped how I work.
Designed and built an end-to-end Python and Streamlit system that automated monthly AWS and AliCloud infrastructure cost allocation for internal P&L reporting, with configurable ETL workflows, reconciliation controls, Excel deliverables, and a bilingual interface.
Built and deployed AI product experiences for DingTalk, including a multi-model pipeline that reduced token usage by 7x and a prompt-to-PowerPoint workflow serving a platform with 28M+ daily active users.
Created interactive Python and Pygame lessons, built the camp's Next.js landing page, and developed an OAuth-enabled student leaderboard with React, Node.js, and Firebase.