Education

M.S. in Computer Science, University of Southern California (USC), 2025 - 2027
B.S. in Computer Science, Shanghai University (SHU), 2021 - 2025

Professional Experience

SDE Intern, OpenJobs AI (San Jose), Aug 2024 - Mar 2025
- Engineered a high-performance resume generation pipeline, migrating from GPT-4o API to a self-hosted, fine-tuned Llama 3 served via vLLM.
- Achieved a 67% reduction in generation latency (from 15s to 5s) and slashed operational costs by 30%.
- Developed a 5-step prompt chain incorporating Chain-of-Thought (CoT) to improve rewriting accuracy.
- Leveraged fine-tuned LLMs (DeepSeek, GPT-4) to power semantic search across 40+ dimensions.
IT Intern, Yum China (Shanghai), Jan 2024 - May 2024
- Supported the development of an enterprise Retrieval-Augmented Generation (RAG) system, handling data scraping, embedding, and model evaluation.
- Developed a PoC using Stable Diffusion and ComfyUI for automated marketing asset generation, producing 100+ sample images.
- Maintained a customer satisfaction platform serving thousands of users, utilizing Docker to ensure 99.8% uptime.

Research Assistant, East China Air Traffic Management Bureau
- Proposed a meteorological super-resolution model fusing VSR temporal attention with UNet spatial hierarchy.
- Improved PSNR by 1.5 dB and SSIM by 0.05 over SOTA models (HAT).
Research Assistant, Cybersecurity Lab, Shanghai University
- Designed a Sequence Mapping Block (SMB) with One Hot encoding for vehicle ECU bitstream mapping.
- Employed Ring-All Reduce for distributed data-parallel training, reducing training time by ~30%.
- Achieved a 5% higher F1-score in anomaly detection compared to the baseline model.

Q. Liu, Y. Liu†, R. Li, C. Cao, Y. Li, X. Li, P. Wang, R. Feng. “MDHP-Net: Detecting an Emerging Time-Exciting Threat in IVN.” *Preprint, 2025. (Second Author)
Li, Xingyu, Ruifeng Li, and Yanchen Liu. “HP-LSTM: Hawkes Process–LSTM-Based Detection of DDoS Attack for In-Vehicle Network.” Future Internet, vol. 16, no. 6, 2024, p. 185. (Second Author)

Languages: Python, JavaScript, C++, SQL, English (TOEFL: 105), Chinese (Native)
AI/ML: RAG, Transformers, Fine-Tuning, vLLM, Distributed Training (Ring-All Reduce)
Tools: Docker, K8s, React, Node.js, Django, MySQL, PostgreSQL, Elastic Search

National First Prize - National University Student Computer Application Competition (2024.07)
Outstanding Student, Shanghai University (2023)
First-Class Academic Scholarship (2022)
Excellence Award - 20th Shanghai University Programming Contest (2022)