About
I received my MS ECE degree from the Georgia Institute of Technology, where my research interests centered on Multimodal Large Language Models (MLLM) and Affective Computing. Previously, I gained industrial algorithm experience as an intern at Tencent and Baidu. My current interests include: AI Application & Memory Systems Graph-based RAG Systems Multi-agent Collaboration Large Language Models (LLMs) & Multimodal LLMs I am also an open source programmer. I created Understand Anything (15k stars on Github) — a Claude Code plugin that turns any codebase into an interactive knowledge graph you can explore, search, and ask questions about. It combines LLM intelligence with static analysis to produce a living, explorable map of your project with plain-English explanations for everything.
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