I am a Senior undergraduate student pursuing a Bachelor’s degree in Software Engineering at Tongji University. My research interests focus on natural language processing and large language models. I have gained valuable research experience through internships at leading institutions including Tongji University, Chinese Academy of Sciences and Xi’an Jiaotong University.
Education
Undergraduate Student
Shanghai · Sep 2022 – Jun 2026 (Expected)
- Institution: School of Computer Science and Technology, Tongji University
- Currently a junior student with focus on full-stack development and AI technologies.
- Coursework includes algorithms, data structures, machine learning, embedded systems and software engineering.
- Student Member, Chinese Information Processing Society of China (CIPS)
- Student Member, IEEE
Summer Project
Oxford, UK · Jul 2024 – Aug 2024
- Institution: University of Oxford
- Participated in advanced research programs and academic exchanges.
- Gained international academic experience and cross-cultural research perspectives.
Internships
Chinese Information Processing Laboratory, Institute of Software Chinese Academy of Sciences
Beijing · Jul 2025 – Present
- Advisor: Prof. Le Sun; Co-advised by Prof. Yaojie Lu
- Institution: Chinese Information Processing Laboratory, Institute of Software Chinese Academy of Sciences
- Project: Data2MCP: MCP-based multi-source data retrieval system
- Designed efficient interaction between large models and multiple external data sources to break data silos
- Improved retrieval performance over traditional RAG frameworks
- Conducted benchmarking and fine-tuning experiments with AI agents, accumulated experience in model alignment and multi-source data integration
Key Laboratory of Intelligent Networks and Network Security, Xi’an Jiaotong University
Remote · Sep 2024 – Present
- Advisor: Prof. Bo Han; Co-advised by Prof. Tian Zhou
- Project 1: Constraint-Based Multi-Strategy Quality Enhancement for Knowledge Graphs
- Proposed constrained optimization framework for multi-dimensional KG quality optimization
- Designed three-strategy collaborative mechanism for defect repair
- Achieved remarkable cross-domain quality improvement on low-quality KG data
- Project 2: RL-Driven Knowledge Graph Quality Optimization with Automatic Rule Generation
- Developed DQN-based closed-loop framework for KG and rule co-optimization
- Proposed LLM-based dual-strategy automatic rule generation method
- Realized adaptive decision-making for KG enhancement and rule generation
Innovation Laboratory, School of Computer Science and Technology, Tongji University
Shanghai · Oct 2024 – Jun 2025
- Led aviation meal prediction system development, utilizing image recognition and data analysis to capture and analyze food residue on meal trays in real-time, predicting future flight meal requirements; responsible for backend development, testing, and recognition model training.
- Led intelligent automotive wire harness matching research, a collaboration with NIO and Shanghai Innovation Project, leveraging LLM technology to improve wire harness allocation efficiency and quality; responsible for project research, planning, software design, modeling, and implementation.
Machine Intelligence Laboratory, School of Computer Science and Technology, Tongji University
Shanghai · Dec 2023 – May 2024
- Participated in dynamic HBF architecture optimization research under real-time sparse distribution, studying end-to-end HBF network design solutions considering hardware constraints and user channel statistical distribution to improve capacity gains; responsible for code maintenance and algorithm analysis enhancement.
Projects
I maintain and contribute to various open-source projects, focusing on Agents, NLP, Embedding systems and web development. These projects demonstrate my technical skills and commitment to sharing knowledge with the community. You can view them on my GitHub profile.
Skills
- LLM / NLP / RAG / AI Agents
- Knowledge Graph Construction & Quality Enhancement
- Multi-source Data Integration (MCP)
- LangChain, Transformers, PEFT
- Python, C++, FastAPI, Flask, Vue
- YOLO, ROS, LiDAR Perception
Contact
I’m always open to discussing research opportunities, collaborations or projects. Feel free to reach out through any of the following channels:
- Primary Email: [email protected]
- Academic Email: [email protected]
- GitHub: github.com/turambar928