High-Quality Data Labeling for Generative AI and Recommendation Systems
I led a data labeling project focused on training generative AI models and recommendation systems, emphasizing precision and cultural relevance. The project involved annotating diverse datasets, including text and user interaction data, for applications in e-commerce and natural language processing. By employing advanced data preprocessing techniques and ensuring annotation accuracy, I enhanced model performance, particularly in generating context-aware responses and personalized recommendations. My work also included training AI models to understand Egyptian Arabic, aligning them with local linguistic and cultural nuances.