This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Ankit Gupta: Innovator in Machine Learning and Graph Databases
Introduction
Ankit Gupta is a notable inventor based in Rahuwas, India. He has made significant contributions to the field of machine learning, particularly through his innovative patent. His work focuses on enhancing the efficiency of graph databases in processing machine learning models.
Latest Patents
Ankit Gupta holds a patent titled "Using graph queries to obtain results from machine learning models." This computer-implemented method is performed at least in part by a graph database configured to store at least one graph dataset. The method involves receiving a graph query designed to be executed against a machine learning model. It communicates this graph query with a machine learning system that utilizes the model to obtain inference results. The graph database then provides query results based on these model inference results to an entity. Ankit's patent represents a significant advancement in the integration of graph databases and machine learning.
Career Highlights
Ankit Gupta is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and graph databases. His role involves developing innovative solutions that leverage the power of data to enhance user experiences and operational efficiencies.
Collaborations
Ankit has collaborated with esteemed colleagues such as Karthik Gurumoorthy Subramanya Bharathy and George Karypis. These collaborations have further enriched his work and contributed to advancements in the field.
Conclusion
Ankit Gupta's contributions to machine learning and graph databases exemplify the innovative spirit of modern technology. His patent and work at Amazon Technologies, Inc. highlight the importance of integrating advanced data processing techniques in today's digital landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
