Academic AI & data classification/tagging work during BSc Computer Science
Conducted academic AI-related labeling and evaluation work by applying structured data classification and tagging techniques to coursework datasets. Focused on maintaining accuracy and consistency when interpreting labels based on provided instructions and guidelines. Used these activities to understand how training data quality affects downstream AI model performance. • Applied data classification and tagging on structured academic datasets • Evaluated and organized data according to course assignment requirements • Followed structured instructions to maintain label consistency • Developed understanding of training-data impact on model quality