Kuan-Yu Lin

Main tasks: - Spearheaded application development with LLM for optimal company data utilization. - Leveraged novel ML frameworks and prompt tuning to develop a database-extracting chatbot for streamlined operations. - Participated in NeurIPS LLM Efficiency Challenge, contributing to a submission that achieved the 23rd position. Utilizing: Python, SQL, AzureOpenAI, Langchain, AutoGPT, AutoGen, Docker, ChromaDB, AWS, API

- Debug and conduct experiments about the Lexical Semantic Change Detection Benchmark (LSCDBenchmark), which is implemented with Python and Hydra. - Develop and execute the testings for LSCDBenchmark. - Create the project documentation.

I mainly work on tasks in the field of Natural Language Processing with deep learning approach. I also have experience in train model with speech and movement data.