This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Liveperson, 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: Ranjith Gampa: Innovator in Artificial Intelligence Data Formatting
Introduction
Ranjith Gampa is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of artificial intelligence through his innovative patent. His work focuses on enhancing the way data is formatted for various interfaces, which is crucial for the development of intelligent systems.
Latest Patents
Ranjith holds a patent titled "Methods and systems for implementing a unified data format for artificial intelligence systems." This patent describes systems and methods for artificial-intelligence-based formatting of data into interface-specific representations. A computing device may receive datasets structured for presentation through various interfaces. The device can train a machine-learning model using feature vectors defined from these datasets. The trained model generates interface-specific representations of data, facilitating effective communication through different types of interfaces.
Career Highlights
Ranjith is currently employed at LivePerson, Inc., where he continues to innovate in the field of artificial intelligence. His work has been instrumental in developing systems that improve data interaction and usability across various platforms. He has a proven track record of applying his expertise to create solutions that enhance user experience.
Collaborations
Ranjith collaborates with talented individuals such as James Poulin and Jesse Wang. Their combined efforts contribute to the advancement of technology in the realm of artificial intelligence and data formatting.
Conclusion
Ranjith Gampa is a notable inventor whose work in artificial intelligence is paving the way for more efficient data formatting systems. His contributions are essential for the evolution of intelligent systems that can seamlessly interact with users across different interfaces.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
