Company Filing History:
Years Active: 2024-2025
Title: Inventor Spotlight: Amol Suresh Hardikar
Introduction
Amol Suresh Hardikar is an innovative inventor based in Greenbrae, California. With a strong focus on technology, he has developed a unique patent that enhances performance data analysis for database systems. His work contributes significantly to the field of data performance metrics.
Latest Patents
Amol Hardikar holds a patent titled "Pattern detection for tenant-specific performance data." This patent describes methods, systems, apparatuses, and computer program products designed to improve the analysis of performance data for multiple tenants within a database system. The system utilizes data logs to track performance metrics, allowing for detailed queries to be executed based on specific time periods and metrics. Ultimately, it aims to identify entities that influence performance, thereby providing valuable insights to users.
Career Highlights
Currently, Amol is employed at Salesforce, Inc., a leader in customer relationship management and cloud-based software. His role in the company allows him to continue pushing the boundaries of innovation in data analysis and management. Through his dedication to technological advancement, he has established himself as a prominent figure in his field.
Collaborations
Amol collaborates with talented coworkers, including Vivek Viswanathan and Karishma Kishore Lalwani. Their teamwork fosters a creative environment that encourages the development of groundbreaking ideas and solutions, enhancing the overall productivity and innovation of Salesforce.
Conclusion
With a patent focusing on tenant-specific performance data, Amol Suresh Hardikar exemplifies the spirit of innovation in technology. His contribution to Salesforce and the broader field of data analysis showcases his commitment to improving performance metrics, which is essential for organizations striving for efficiency and growth. As technology continues to evolve, inventors like Amol play a crucial role in shaping the future of how we understand and utilize data.