AI-Based Data Assessment
MindriftTextEntity Ner Classification
Contributed to a large-scale AI biology project focused on evaluating and annotating scientific datasets and textual outputs. Labeled biological terms, pathways, and genetic references to enhance model understanding and data quality. Conducted accuracy reviews and quality assurance on over 25,000 labeled data entries, ensuring alignment with scientific terminology standards and publication-level precision. Provided continuous expert feedback to improve the reasoning and contextual accuracy of biology-trained AI models
Contributed to a large-scale AI biology project focused on evaluating and annotating scientific datasets and textual outputs. Labeled biological terms, pathways, and genetic references to enhance model understanding and data quality. Conducted accuracy reviews and quality assurance on over 25,000 labeled data entries, ensuring alignment with scientific terminology standards and publication-level precision. Provided continuous expert feedback to improve the reasoning and contextual accuracy of biology-trained AI models
2021 - 2024