This inventor holds 1 USPTO granted patent. Top assignee: Fortinet, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Neil B Vachharajani: Innovator in Data Querying Technologies
Introduction
Neil B Vachharajani is a prominent inventor based in Menlo Park, CA. He has made significant contributions to the field of data platforms, particularly through his innovative patent that enhances the querying of multiple datasets. His work is instrumental in advancing how data is accessed and utilized in various applications.
Latest Patents
Neil holds a patent for a "Semantic layer for data platform." This patent describes an illustrative method for querying multiple datasets. The method includes generating a semantic layer that defines relationships between models associated with different datasets stored in various data stores. It provides a centralized application programming interface (API) for exposing these datasets through a common query language. The process involves receiving a query request via the centralized API, querying the multiple datasets based on the relationships defined by the semantic layer, and presenting a query result that represents the information dependent on the data included in these datasets. Neil's innovative approach simplifies the complexity of data querying and enhances data accessibility.
Career Highlights
Neil is currently employed at Fortinet, Inc., where he continues to develop and refine technologies that improve data management and security. His expertise in data platforms has positioned him as a valuable asset in the tech industry.
Collaborations
Neil collaborates with notable professionals in his field, including his coworker Úlfar Erlingsson. Their combined efforts contribute to the advancement of data technologies and innovative solutions.
Conclusion
Neil B Vachharajani is a key figure in the realm of data querying technologies, with a focus on creating efficient methods for accessing and managing datasets. His contributions through patents and collaborations continue to shape the future of data platforms.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
