CV

B.S.; B.Eng.

Tsinghua University

Mathematics and Physics; Software Engineering

University of California, Berkeley

UCEAP Exchange Program

• Selected for Tsinghua University’s sponsored exchange program, with one seat per department.

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory

* Co-second authors. Co-developed CoMem, a Qwen3-8B memory architecture that caches intermediate residual states and recomputes query-conditioned upper layers for efficient long-context memory.

FinAgent OS: Multi-Agent Wealth Management System

Group project for the Software Engineering course

• Built a LangGraph- and FastAPI-based multi-agent system for user profiling, asset screening, market timing, critic review, and compliance auditing across 54 instruments in nine asset classes.
• Implemented Markowitz optimization, risk parity, Monte Carlo simulation, VaR and CVaR, stress testing, backtesting, and performance attribution.
• Integrated AkShare and yfinance data, persistent SQLite sessions, Docker deployment, and GitHub Actions CI while maintaining a 269-test passing baseline.

TASIVE: Transformer-Based Siamese Signature Verification

Lead developer; major project for the Deep Learning course

• Developed a Swin-T Siamese network with a lightweight MLP projection head, L2-normalized 128-dimensional embeddings, and a scaled cosine binary-cross-entropy objective.
• Designed a strict writer-disjoint train and validation split and evaluated on a fixed all-pairs validation set of 5,748 signature pairs.
• Achieved 99.98% accuracy, 1.0000 ROC-AUC, and 0.0000 EER, outperforming a reproduced SigNet baseline under the same protocol.