Product Manager (AI data cleaning, labeling standards, and quality inspection) at Aiman Software Technology Co., Ltd.
Built and refined logistics labeling standards and validation logic to improve dataset usability for model training. Optimized AI labeling rules to increase route-matching accuracy by about 25% and supported abnormal shipment case analysis for data quality inspection. Managed end-to-end cleaning and organization of 500+ historical datasets for annotation consistency. • Participated in defining data cleaning and labeling standards for logistics datasets • Optimized AI labeling logic for route-matching accuracy • Conducted anomaly/abnormal case analysis to support validation and quality inspection • Organized and cleaned 500+ historical datasets