About

About

I am an M.S. Information Networking student at Carnegie Mellon University. My interests include machine learning, synthetic data, model evaluation, speech, and software systems.

Before CMU, I received a B.E. in Software Engineering from Shanghai Jiao Tong University. I have worked as a software engineering intern at Google and Electronic Arts and as a research assistant at SJTU.

Research interests: synthetic data, model evaluation, speech, and software systems.

Publications

Research contribution

2025

LMTransplant

Contributed to task selection, synthetic-data prompt design, and evaluation for this text data augmentation project, accepted at EMNLP 2025.

Experience

2026

Google

Software Engineering Intern · San Francisco

Built a synthetic-data pipeline for Gemini content safety using structured policy taxonomies and conditional generation, then evaluated downstream classifiers.

2024

Electronic Arts

Software Engineer Intern · Shanghai

Integrated Kiali into a Grafana and Prometheus monitoring stack and reduced Kiali data volume by 85%, resolving memory bottlenecks.

2024–25

Shanghai Jiao Tong University

Research Assistant · Shanghai

Worked on few-shot NLP data augmentation and multi-agent LLM methods for unit-test generation.

Projects

2024

Minik8s

A small container orchestration system in Go with control loops, horizontal autoscaling, API-object management, and NFS-backed persistent storage.

2023

LSM-KV

A C++ key-value store using skip lists, Bloom filters, and an LSM-tree design.

Code

Education and teaching

2025–27

Carnegie Mellon University

M.S. in Information Networking · GPA 4.0/4.0

Teaching Assistant, Introduction to Deep Learning.

2021–25

Shanghai Jiao Tong University

B.E. in Software Engineering.