This inventor holds 1 USPTO granted patent. Top assignee: Snowflake 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: Neeraj Khanna: Innovator in Data Search Technology
Introduction
Neeraj Khanna is a prominent inventor based in Fremont, CA. He has made significant contributions to the field of data search technology, particularly through his innovative patent. His work focuses on enhancing the efficiency and relevance of data retrieval processes.
Latest Patents
Neeraj Khanna holds a patent titled "Data listing search utilizing large language models." This invention describes a search engine for data exchanges that can receive queries with a set of search terms. The system retrieves multiple data listings based on these terms and utilizes a large language model (LLM) to generate embeddings. By comparing the embeddings from the search query to those of the data listings, the system determines the relevance of each listing and ranks them accordingly.
Career Highlights
Neeraj is currently employed at Snowflake Inc., a company known for its cloud-based data warehousing solutions. His role involves leveraging advanced technologies to improve data management and retrieval processes. With a focus on innovation, he continues to push the boundaries of what is possible in data search.
Collaborations
Neeraj collaborates with talented professionals in his field, including Robert K Chao and Christophe Gaboury. These partnerships enhance the development of cutting-edge technologies and foster a collaborative environment for innovation.
Conclusion
Neeraj Khanna's contributions to data search technology exemplify the impact of innovative thinking in the tech industry. His patent and work at Snowflake Inc. highlight his commitment to advancing data retrieval methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
