Arvind Kumar Maheshwari

Title: Arvind Kumar Maheshwari: Innovator in Neural Network-Based Query Processing

Introduction

Arvind Kumar Maheshwari is a prominent inventor based in Pleasanton, CA (US). He has made significant contributions to the field of machine learning and database query optimization. With a total of 9 patents, Maheshwari's work focuses on leveraging neural networks to enhance query processing and generation.

Latest Patents

One of his latest patents is titled "Intelligent query editor using neural network based machine learning." This patent describes techniques for generating, editing, and optimizing queries using neural networks. The process involves training a neural network with a set of performant database queries to learn patterns between different sequences of tokens. Once trained, the neural network can receive an incomplete query and predict additional tokens to form a completed, performant query.

Another notable patent is "Query classification and processing using neural network based machine learning." This invention utilizes recurrent neural networks for query processing. The query analytic system determines a sequence of tokens for a portion of a query and generates a performance prediction associated with executing that portion. The system can trigger responsive actions based on the performance prediction, such as tuning the query or sending alerts.

Career Highlights

Arvind Kumar Maheshwari has worked with notable companies, including Oracle International Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of database management and machine learning.

Collaborations

Throughout his career, Maheshwari has collaborated with talented individuals such as Raghav Ravichandran and Kusumaharanadh Poduri. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Arvind Kumar Maheshwari is a distinguished inventor whose work in neural network-based query processing has paved the way for advancements in database technology. His innovative patents reflect his commitment to enhancing the efficiency and effectiveness of query management.