This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mftb Holdco, 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: Innovations by Jyoti Prakash Maheswari
Introduction
Jyoti Prakash Maheswari is an accomplished inventor based in Irving, TX (US). He has made significant contributions to the field of technology, particularly in the area of automated tools for real estate searches. His innovative approach combines multiple data modes to enhance the search experience for users.
Latest Patents
Maheswari holds a patent for an "Automated tool for determining and providing information about dwellings satisfying search criteria specified using multiple data modes." This invention describes techniques for performing automated operations related to determining and providing information about dwellings. The search criteria can combine data from various modes, including free-form natural language text and images. The techniques involve training machine learning models to encode semantic information about dwellings into vector-based embeddings. This allows for the generation of vector embeddings for both dwellings and search queries, facilitating the identification of matching target dwellings.
Career Highlights
Jyoti Prakash Maheswari is currently associated with Mftb Holdco, Inc., where he continues to innovate and develop new technologies. His work focuses on enhancing the efficiency and accuracy of real estate searches through advanced machine learning techniques.
Collaborations
Maheswari collaborates with talented individuals such as Dushyant R Maheshwary and Supriya Anand, who contribute to his projects and share a commitment to innovation.
Conclusion
Jyoti Prakash Maheswari's contributions to the field of automated real estate search tools exemplify the power of innovation in technology. His work not only enhances user experience but also showcases the potential of machine learning in practical applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile