Software Engineering & AI Research
I am a Results-driven Computer Science Master’s student with extensive experience in optimizing and deploying production-level AI systems, specializing in LLM pipeline engineering. Versatile experience across LLM pipeline engineering, Retrieval-Augmented Generation (RAG), computer vision research (VSR), and distributed training, supported by two second-author publications.
Research Focus
My research combines theoretical foundations with practical applications across several domains:
Vehicle Network Security Working with the Cybersecurity Lab Vehicle Communication System Modeling and Simulation Group, I contribute to developing advanced detection systems for vehicle network attacks. Our work includes designing and implementing the Sequence Mapping Block (SMB) with OneHot encoding, significantly improving model convergence in anomaly detection.
Meteorological Applications At the East China Air Traffic Management Bureau, I research deep learning applications for meteorological forecasting and super-resolution. This work involves comparing and optimizing various state-of-the-art models, including RVRT and BasicVSR++, while incorporating optical flow techniques for enhanced accuracy.