Hyderabad Telangana, India

Vijayasaradhi Indurthi


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Vijayasaradhi Indurthi: Innovator in Resource Consumption Estimation

Introduction

Vijayasaradhi Indurthi is a distinguished inventor based in Hyderabad, Telangana, India. With a notable contribution to the field of database management systems, he holds a patent for a groundbreaking method designed to optimize resource consumption during query execution. His innovative approach leverages machine learning to enhance database performance, showcasing his expertise and commitment to advancing technology.

Latest Patents

Indurthi's patent, titled "Estimator of resource consumption by query execution plan steps," presents a sophisticated method, apparatus, and computer program product aimed at estimating resource consumption for steps in a query execution plan executed by a relational database management system (RDBMS). This invention is significant, as it utilizes past execution data to train a machine learning model, which predicts the execution times for various steps in a query. The prediction module incorporates current step information and system load to provide accurate forecasts, thus enhancing the overall efficiency of database operations.

Career Highlights

Currently, Vijayasaradhi Indurthi is affiliated with Teradata US, Inc., where he continues to pioneer advancements in database technology. His work focuses on integrating machine learning with traditional database management practices, thereby contributing to the optimization of data processing and resource management.

Collaborations

Throughout his career, Indurthi has collaborated with talented professionals, including his coworker Bhashyam Ramesh. Together, they engage in transformative projects that push the boundaries of what is possible within the realm of database management and technology.

Conclusion

Vijayasaradhi Indurthi exemplifies the spirit of innovation in the technology sector. With his single but impactful patent, he demonstrates the potential of machine learning in enhancing the efficiency of query execution in database systems. His contributions are not only significant for his company, Teradata US, Inc., but also for the broader field of database technology, paving the way for future advancements.

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