AI Training & Software Research (Independent/Project-based)
Developed and maintained Python scripts for automating the cleaning and labeling of datasets as part of independent research and training projects. Applied advanced AI and automation tools such as LLMs, Cursor, and NotebookLM for data synthesis and facilitating machine learning model improvement. Generated structured training data to support the development and evaluation of AI algorithms focusing on code, text, and semi-structured data extraction and annotation. • Designed automated workflows for large-scale code and dataset labeling tasks. • Evaluated model output quality and provided targeted corrections to improve downstream performance. • Leveraged web automation to gather supplemental data sources for labeling. • Coordinated ongoing data annotation for personal AI-driven development initiatives.