Srinivasan Manoharan

Title: **Inventor Spotlight: Srinivasan Manoharan**

Introduction

Srinivasan Manoharan is a noteworthy inventor based in San Jose, California, who has made significant contributions to the field of technology through his innovative inventions. With a total of nine patents to his name, his work focuses primarily on enhancing data handling and risk evaluation processes within computer systems.

Latest Patents

Srinivasan's latest patents showcase his expertise in machine learning and data optimization. One of his prominent inventions is titled “Self-learning data loading optimization for a rule engine.” This invention presents methods and systems for utilizing machine learning to automatically configure data loading for a computer-based rule engine. The rule engine employs various rules to evaluate incoming transaction requests, requiring diverse data types for its operations. The patent details a configuration that pre-loads critical data and use lazy-loading techniques for less critical data, allowing the system to adaptively load data based on statistical metrics such as use rates and loading times.

Another significant patent of his is “Systems and methods for providing concurrent data loading and rules execution in risk evaluations.” This patent outlines methodologies that allow for simultaneous data retrieval and risk processing when assessing risk sources for online service providers. The risk analysis module is designed to trigger various evaluation processes while concurrently gathering necessary data, ensuring efficient completion of risk assessments.

Career Highlights

Currently, Srinivasan Manoharan is employed at PayPal, Inc., where he continues to push the boundaries of innovation in financial technology. His work is instrumental in improving the way risk is evaluated and data is processed within the organization, showcasing his dedication to leveraging technology for practical solutions.

Collaborations

Throughout his career, Srinivasan has collaborated with talented colleagues such as Vinesh Chirakkil and Sahil Dahiya, contributing to a rich environment of innovation and shared knowledge. These collaborations have likely enhanced the creative processes driving their respective projects and inventions.

Conclusion

Srinivasan Manoharan exemplifies the spirit of innovation in technology, particularly in the realms of machine learning and risk evaluation. With his nine patents, he has significantly impacted the way data is utilized in evaluating transactions and risks. As technology continues to evolve, it is clear that innovators like Srinivasan will play a crucial role in shaping the future.