This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Ashna Sebastian: Innovator in Automated Product Attribute Correction
Introduction
Ashna Sebastian is a talented inventor based in Vaughan, Canada. She has made significant contributions to the field of technology, particularly in the area of automated systems for product catalog management. Her innovative approach combines machine learning with practical applications to enhance user experience in online shopping.
Latest Patents
Ashna holds a patent for her invention titled "Automated correction of attributes using machine-learned large language models (LLMS)." This online system maintains a product catalog that includes products from various retailers, allowing users to purchase items seamlessly. Each product is associated with attributes such as size value and size unit of measure (UOM). The system identifies products with erroneous attributes using taxonomy attribute value homogeneity. It performs inference tasks to determine the correct size value and UOM, evaluates the accuracy of the inferred data, and updates the product catalog accordingly when the data is deemed accurate. This innovation streamlines the online shopping experience and ensures that customers receive accurate product information.
Career Highlights
Ashna is currently employed at Maplebear Inc., where she continues to develop and refine her innovative ideas. Her work focuses on enhancing the efficiency and accuracy of online product catalogs, making her a valuable asset to her team and the industry.
Collaborations
Ashna collaborates with her coworker, Paul Harrison Baranowski, to further advance their projects and share insights in their field. Their teamwork exemplifies the importance of collaboration in driving innovation.
Conclusion
Ashna Sebastian is a remarkable inventor whose work in automated product attribute correction showcases her dedication to improving online shopping experiences. Her contributions to technology are paving the way for more efficient and accurate product management systems.
