About me

I am currently pursuing a Master of Computational Data Science at Carnegie Mellon University, after completing a B.Eng. in Computer Science & Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). My interests include LLM post-training, data synthesis, AI agents, and building production AI systems and products. I enjoy turning research and engineering ideas into tools that solve real user problems.

Current Commercial Project

Rustle

Rustle is a commercial social-research product I am currently bringing to market. It searches public discussions across major social platforms (X, Reddit, TikTok, RedNote, Douyin, etc.) and turns scattered posts, comments, and replies into source-linked, verifiable reports.

Production System Architecture

Rustle production system architecture

My Internships

Shanghai Qianshiwei Digital Technology: Quantitative Model Research Intern, 2026.5-2026.7, Shanghai, China.

Custom T5 Encoder-Decoder Model for Futures Price Prediction

Sanitized multi-stream sequence model architecture from my quantitative model research internship

Hyperparameter Search Agent Harness

Sanitized adaptive experiment harness from my quantitative model research internship

Binance: Data Scientist (AI/LLM) Intern, 2025.9-2026.2, Remote/Singapore.

Customer Service AI System

Conceptual architecture of the Binance customer service AI system, highlighting the Intent LLM data-labeling pipeline

ByteDance: LLM Algorithm (AI4Code) Intern, 2025.5-2025.8, Shenzhen, China.

Trae CUE Code Completion Model Post-Training Data Flywheel

Sanitized code completion post-training data flywheel from my ByteDance internship

Vitaly Medical Inc.: Machine Learning Intern, 2024.10-2025.2, Berkeley, USA.

Baidu: Speech Algorithm Intern, 2024.6-2024.8, Beijing, China.

BNP Paribas (China): Corporate Banking Intern, 2023.6-2023.8, Shanghai, China.

Shenzhen NINES Internet: Front-end Dev Intern, 2022.9-2022.12, Shenzhen, China.

See “Internships” page for more information.

My Research Experience

Berkeley Artificial Intelligence Research Lab (Supervisors: Prof. Dawn Song and Dr. Xuandong Zhao):

AI Safety Division, 2024.10-2024.12, Berkeley, USA.

CUHK-Shenzhen Network and Artificial Intelligence System Lab (Supervisor: Prof. Fangxin Wang):

Federated Learning Group, 2023.12-2024.8, Shenzhen, China.

CUHK-Shenzhen Human-Crypto Society Laboratory (Supervisor: Prof. Wei Cai):

Decentralized Social Computing (Data Analysis) Group, 2023.2-2023.7, Shenzhen, China.

See “Research” page for more information.