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Work Background
Hinton InnovationsSoftware Engineer
Oct. 2025Hong Kong SAR
Duke Kunshan UniversityData Scientist
Mar. 2025 - Aug. 2025Jiangsu, ChinaAs a Data Scientist on a human mobility research project, I specialize in collecting, cleaning, and processing large-scale trajectory data. Using tools like Pandas, NumPy, and custom-built data cleaners, I transform raw GPS and location-based data into structured datasets suitable for analysis. My work involves designing and executing data pipelines that ensure data accuracy, consistency, and reliability for downstream tasks. I leverage this cleaned data to create insightful visualizations that reveal mobility patterns and behavioral trends, supporting smarter urban planning and transportation systems. Additionally, I develop and train machine learning models to analyze and predict human movement, contributing to research in sustainability and smart cities. My role bridges data engineering, analytics, and modeling to deliver actionable insights from complex, real-world datasets.
Duke Kunshan UniversityLLM Researcher
Oct. 2024Jiangsu, ChinaAs an LLM researcher, I work on developing and optimizing a Retrieval-Augmented Generation (RAG) chatbot designed for my university campus. My focus is on improving the core backend and overall performance of the AI agent to ensure it delivers accurate, efficient, and contextually relevant responses. I handle tasks such as prompt engineering, database updates, and hyperparameter evaluations to fine-tune the agent’s output quality. I also conduct performance assessments and iterative testing to enhance both the retrieval and generation components of the system. My goal is to ensure the chatbot remains responsive, reliable, and adaptable to users’ evolving needs in an academic environment.
Spaceport CornwallAerospace Energy Sustainability
Oct. 2024 - Dec. 2024Cornwall, England, United Kingdom
Duke Kunshan UniversityAI Engineer
Oct. 2024Jiangsu, ChinaAs an LLM researcher, I work on developing and optimizing a Retrieval-Augmented Generation (RAG) chatbot designed for my university campus. My focus is on improving the core backend and overall performance of the AI agent to ensure it delivers accurate, efficient, and contextually relevant responses. I handle tasks such as prompt engineering, database updates, and hyperparameter evaluations to fine-tune the agent’s output quality. I also conduct performance assessments and iterative testing to enhance both the retrieval and generation components of the system. My goal is to ensure the chatbot remains responsive, reliable, and adaptable to users’ evolving needs in an academic environment.
Duke Kunshan UniversityUndergraduate Research Assistant
May. 2024 - Aug. 2024Jiangsu, ChinaI evaluated methods to efficiently adapt the Llama3 pre-trained large language model (LLM) for question answering using Retrieval Augmented Generation (RAG). Explored evaluation techniques like RAGAS to enhance the RAG’s performance in question answering tasks. Conducted research on leveraging Llama 3, pre-trained on extensive text corpora, for natural language processing applications.
VEX RoboticsSoftware Programmer
Feb. 2023 - Dec. 2023Shanghai, ChinaRobotics Enthusiast and Technical Expert at Duke Kunshan's VEX Robotics Team. Achieved 1st Runner-Up Position in the Prestigious Shanghai Jiaotong University National Robotics Competition held in Shanghai.
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