CV

Education

Western University, 2025.9 - 2027.6

Shandong University, School of Software, 2021.9 - 2025.6

User-Centric Psychological Scale Item Generation Using LLMs, Semantic Computing Lab, 2024.3 - 2025.5

Main Contributor

Developed a prompting-based framework utilizing large language models (LLMs) to generate psychological scale items tailored for diverse target populations.
Designed systematic evaluation metrics integrating LLMs, natural language processing (NLP), and psychological assessment methodologies.
Led all experiments, visualizing data to draw conclusions, validating the framework’s performance.
Created an interface to enhance user interaction with the framework.
Contributed as a co-author to a paper draft in preparation for submission.

Developed an intelligent job search platform powered by large language models (LLMs) that delivers personalized job information and interview preparation.
Managed the cleaning and preprocessing of web-scraped data, employing NLP tools to create a comprehensive job information knowledge base.
Designed and implemented a front-end interface to enhance the overall user experience.

Home Credit - Credit Risk Model Stability, 2024.2 - 2024.5

Kaggle Competition, Silver Medal

Achieved 92nd place out of 3,856 competing teams, demonstrating proficiency in applying advanced data analysis techniques to real-world challenges.
Employed machine learning models to assess credit risk by predicting loan default probabilities.
Led data processing and feature engineering, training a ensemble model comprising LightGBM, XGBoost, CatBoost, and a fully connected neural network.

First-Class Scholarship, 2021 - 2022

Second-Class Scholarship, 2022 - 2023

Second-Class Scholarship, 2023 - 2024

Data Analytics: NumPy, Pandas, Polars, Matplotlib, Seaborn
Machine Learning: LightGBM, XGBoost, CatBoost, scikit-learn, PyTorch, Transformers
Programming & Development: Python, C/C++, Java, JavaScript, SQL, SpringBoot, Node, Vue
Database: MySQL, Oracle, MongoDB