AI Training Projects — Independent / Self-Initiated (Ongoing)
Curated, annotated, and evaluated AI training datasets to improve machine learning model performance. Tested AI model outputs and delivered structured feedback to increase response accuracy and quality. • Data annotation and dataset curation for training/evaluation • Output testing and structured feedback for quality improvement • Bias detection and iterative refinement of training data • Prompt engineering to guide and assess language model responses