Company Filing History:
Years Active: 2021-2023
Title: The Innovative Mind of Raksha Subramanyam
Introduction
Raksha Subramanyam, an accomplished inventor based in Fremont, CA, has made significant contributions to the field of database management through his innovative inventions. With a portfolio of 8 patents, he has demonstrated expertise in developing techniques that enhance the efficiency and performance of database connection pools.
Latest Patents
Raksha's latest patents include the "Adjustable Connection Pool Mechanism" and the "Performance Measurement Mechanism." The Adjustable Connection Pool Mechanism focuses on facilitating the automatic adjustment of a database connection pool. This invention calculates a value indicating the number of connections required by various application servers and adjusts the pool accordingly. On the other hand, the Performance Measurement Mechanism aims to prevent exhaustion of a database connection pool by analyzing events from multiple application servers, categorizing them, and generating performance measurement reports. These innovations highlight his commitment to optimizing database performance and management.
Career Highlights
Raksha has held significant positions in renowned companies such as Salesforce.com, Inc. and Salesforce, Inc. Throughout his career, he has consistently sought to improve database technologies, contributing impactful solutions that resonate with both industry needs and emerging technological trends.
Collaborations
Throughout his journey, Raksha has collaborated with talented individuals, including his coworkers Tony Wong and Olumayokun Obembe. These partnerships have undoubtedly played a role in fostering innovative ideas and advancing the projects he has worked on.
Conclusion
With his impressive portfolio of patents and a proven track record in the tech industry, Raksha Subramanyam stands out as a key innovator in the realm of database management solutions. His inventions not only reflect his deep understanding of technology but also his dedication to continuous improvement in the efficiency and effectiveness of database systems.