cv

M.S.

Columbia University, Fu Foundation School of Engineering and Applied Science

Computer Science, Track: Advanced Master's Research (Machine Learning)

• Natural Language Processing (A+)
• Spoken Language Processing (A)
• Computer Vision (A)
• Artificial Intelligence (A-)

B.A. & B.B.A.

Emory University, Emory College of Arts and Sciences, Goizueta Business School

Computer Science and Business Administration (Double Major)

• Machine Learning (A)
• Analysis of Algorithms (A)
• Data Mining (A)

From Chains to DAGs: Probing the Graph Structure of Reasoning in LLMs

arXiv preprint

SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning

arXiv preprint

Brain-Predictive Reasoning Embedding through Residual Disentanglement

NeurIPS 2025

K2-Think: A Parameter-Efficient Reasoning System

arXiv preprint

AI Engineering Intern

TripleE Group

Designed algorithms to improve RAG pipelines, evaluated embedding models, and built 23 FAISS vector databases; achieved 98.45% top-1 accuracy on high-difficulty queries.

Software Engineering Intern

Tencent, Department of IDC Platform

Developed Python automation tools to reduce manual workload by 90%, created monitoring and reporting scripts for 30+ data centers, and integrated with Git and cloud databases.

ICPC Southeast USA Regional Contest (3rd place out of 103 teams)

ICPC Southeast USA Regional Contest (19th place out of 110 teams)