This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Cisco Technology, Inc.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Innovations of Vedant Dharnidharka
Introduction
Vedant Dharnidharka is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of machine learning and artificial intelligence. His innovative work focuses on enhancing the training of machine learning models through user feedback and generative artificial intelligence.
Latest Patents
Vedant holds a patent for a machine learning model training data generation system. This system utilizes user input in the form of natural language descriptions of search queries. It packages and transmits these descriptions as prompts to multiple large learning models (LLMs). The system receives responses from these LLMs, which translate the natural language descriptions into executable search queries. The translations are displayed to users via a graphical user interface. Additionally, the system collects user feedback regarding the accuracy and preference of the translations. This feedback, along with the original user input and translations, is used to generate training data for further training of the LLM.
Career Highlights
Vedant is currently employed at Cisco Technology, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work has positioned him as a key contributor to advancements in artificial intelligence technologies.
Collaborations
He collaborates with talented coworkers, including Robert Riachi and Abraham Starosta, who contribute to the innovative environment at Cisco Technology, Inc.
Conclusion
Vedant Dharnidharka's contributions to machine learning and artificial intelligence exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in the training of machine learning models, showcasing the importance of user feedback in the development process.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
