China Central Bank Securities Information Technology Co ., Ltd x Tsinghua University AI Lab
06.2024 - 09.2024
Assisted in research on large language models (LLMs) in collaboration with Tsinghua University, focusing on Agent systems and Retrieval-Augmented Generation (RAG)
Conducted technical feasibility studies, experimenting with various frameworks and building prototypes (demos)
Analyzed and compared strengths and weaknesses of different frameworks to support technology adoption decisions
Worked on fine-tuning LLMs to improve their performance for specific tasks
Explored and implemented key technologies including LangChain, LlamaIndex, CrewAI, GraphRAG, and Agenly
Contributed to enhancing the usability and efficiency of LLM applications through hands-on development and evaluation
LLM-Powered Investment Research Automation, Developed an automated system for generating investment reports using web scraping, MySQL, and LLMs (ChatGPT, Qwen-Turbo)., Enhanced data analysis with Chain of Thought (CoT) prompting for accurate financial insights., Built a seamless workflow with Agently to automate data collection, processing, and reporting. Breast Cancer Diagnosis System, Developed a machine learning pipeline using LSTM and XGBoost to classify tumors as benign or malignant., Integrated data preprocessing, feature selection, and hyperparameter tuning for optimized predictive performance., Applied Bayesian optimization to enhance XGBoost model accuracy in distinguishing cancer types.
Research Fellow at Department of Data Science and AI, Faculty of Information Technology, Monash UniversityResearch Fellow at Department of Data Science and AI, Faculty of Information Technology, Monash University
Robotics Algorithm Intern at Institute for AI Industry Research (AIR), Tsinghua UniversityRobotics Algorithm Intern at Institute for AI Industry Research (AIR), Tsinghua University