This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microstrategy, Inc.. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Innovations of Tejas Sahasranaman in Data Card Enhancements
Introduction
Tejas Sahasranaman is a notable inventor based in Fairfax Station, Virginia. He has made significant contributions in the field of data management, particularly with his innovative approach to enhancing electronic data cards. With one patent to his name, his work represents a critical advancement in semantic context enrichment and data masking.
Latest Patents
Tejas Sahasranaman's patent, titled "Systems and methods for semantic context enrichment and data masking," outlines a method for electronic data card enhancements. This innovative technique involves requesting one or more electronic data cards containing data within various data elements. His invention focuses on determining applicable value-adding features for the data, applying these features, and subsequently presenting the enhanced electronic data card to users. This innovation not only improves the usability of electronic data cards but also ensures greater data privacy and relevance.
Career Highlights
Tejas is currently employed at Microstrategy, Inc., where he continues to advance his work in data solutions. His role highlights his dedication to integrating innovative technologies in practical applications, helping to push the boundaries of data utilization.
Collaborations
In his professional journey, Tejas collaborates with skilled colleagues such as Nida Imtiaz and Siyuan Fan. These partnerships foster a creative environment that encourages the sharing of ideas and the development of groundbreaking solutions in the tech industry.
Conclusion
Tejas Sahasranaman stands out as an inventor dedicated to enhancing electronic data management. His patent showcases a significant leap towards smarter, more efficient data card solutions. As he continues his work at Microstrategy, Inc., the potential for further innovations remains promising, contributing to the evolving landscape of data management technologies.
