This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Notion Labs, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Parthiv Shah: Innovator in Database Query Generation
Introduction
Parthiv Shah is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of database technology, particularly through his innovative patent. His work focuses on enhancing user interaction with data structures, making it easier for users to generate queries using natural language.
Latest Patents
Parthiv Shah holds a patent for "Ephemeral views for database query generator." This system is designed to generate and render a graphical user interface (GUI) that includes a displayable item from a block-based data structure. The system utilizes a natural language prompt to enable a neural network to create a query that retrieves a result set from the data structure. Notably, the second block of data is not initially displayed, allowing users to discover it through context determined by the natural language prompt and properties of the first block. The GUI also features an ephemeral view of the result set and a query tuning control for dynamic adjustments.
Career Highlights
Parthiv Shah is currently employed at Notion Labs, Inc., where he continues to innovate in the realm of database technologies. His work has been instrumental in developing user-friendly systems that leverage advanced technologies to improve data accessibility and interaction.
Collaborations
Parthiv collaborates with talented individuals such as Abhishek Kishore Modi and Simon Townsend-Last. Their combined expertise contributes to the innovative environment at Notion Labs, Inc.
Conclusion
Parthiv Shah's contributions to database query generation exemplify the intersection of technology and user experience. His patent reflects a forward-thinking approach to data interaction, making significant strides in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile