• Developed and designed a machine learning approach to automatically extract data and software tools from published Internet research papers.
• Utilized Python for advanced data processing, analysis, and scripting to support research objectives.
• Applied hands-on experience with Large Language Models (LLMs), including fine-tuning and prompt engineering, to optimize information extraction.
• Implemented Natural Language Processing (NLP) techniques, such as entity recognition and text classification, to parse unstructured academic text.
• Wrote clean, portable, and thoroughly documented code.
• Managed project source code and collaborated with senior researchers using Git for version control.
