This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Hearst Magazine Media, Inc.. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Innovations of Srinivasan Kidambi Sridharan
Introduction
Srinivasan Kidambi Sridharan is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of artificial intelligence, particularly in product data extraction. With a total of 4 patents to his name, his work has garnered attention in the tech industry.
Latest Patents
Sridharan's latest patents include innovative systems and methods for generating product catalogs from websites. One of his notable inventions involves a computer system that identifies and parses product pages, utilizing a learning engine to predict attribute values. This technology allows for efficient storage of attribute information in a database. Another significant patent focuses on automated extraction, inference, and normalization of structured attributes for a Product Category Normalizer. This system employs machine learning techniques to analyze product data and normalize it according to a defined taxonomy of product categories.
Career Highlights
Srinivasan Kidambi Sridharan currently works at Hearst Magazine Media, Inc., where he continues to develop cutting-edge solutions in the realm of artificial intelligence. His expertise in product data extraction has positioned him as a valuable asset in his field.
Collaborations
Sridharan collaborates with talented individuals such as Varun Sivamani and Vinoth Gopinathan, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Srinivasan Kidambi Sridharan's contributions to artificial intelligence and product data extraction highlight his role as a leading inventor in the tech industry. His patents reflect a commitment to advancing technology and improving product categorization processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile