CV

Languages

• Chinese (Native)
• English (IELTS 6.5)

Education

• Ph.D in Computer Technology, NKU, 2024-2028 (expected).
• B.S. and M.S. in Software Engineering, IMUT, 2017-2024.

Service

• TJSC Reviewer
• OpenRAG Project Contributor
• Transformers Project Contributor

Work experience

• 12/2023-Now: Internship at Haihe Lab of ITAI, Tianjin.
  • Medical Image Quality Control with RAG: Designed and deployed a RAG pipeline on Ascend 910, enabling multimodal retrieval (CLIP + GLM-Vision) for medical image quality control. Implemented data processing, RAG optimization, and case demonstrations to assist in automated quality assessment and recommendations.
  • AI-Powered Vehicle Damage Assessment: Developed an intelligent vehicle damage assessment system for component recognition and cost estimation. Designed the solution, processed training data, optimized the damage prediction algorithm, and enhanced de-identification software, improving accuracy and deployment efficiency.
• 06/2023: Internship at Mininglamp Technology, Beijing.
  • Built a video annotation system for multimodal model training, optimizing BLIP and Whisper algorithms.
• 03/2023: Internship at OPPO Research, Beijing.
  • Processed multilingual translation data with advanced filtering techniques.
  • Improved training data using augmentation methods, boosting BLEU by 1+.
  • Trained and optimized machine translation models with Fairseq, supporting deployment.