Company Filing History:
Years Active: 2021-2024
Title: **Innovations by Sahil Dahiya: Advancements in Data Loading Optimization**
Introduction
Sahil Dahiya, an accomplished inventor based in San Jose, California, is making significant strides in the field of computer-based rule engines. With a total of three patents to his name, Dahiya is at the forefront of innovation in methods that utilize machine learning to enhance data loading configurations.
Latest Patents
Among his latest innovations, Dahiya has contributed to two notable patents. The first, titled "Self Learning Data Loading Optimization for a Rule Engine," presents methods and systems that leverage machine learning to optimize data loading configurations for a computer-based rule engine. This engine is trained to use rules to evaluate incoming transaction requests, streamlining the data loading process by pre-loading data of varying types. A machine learning module assesses statistical data such as usage rates and loading times to recommend ideal configurations for efficient data management under varying conditions.
His second patent, "Automatic Discovery of Data Required by a Rule Engine," outlines methodologies for automatically identifying the data types essential for evaluating transaction requests within a rule engine. By generating an abstract syntax tree, Dahiya's system can delineate potential paths for the evaluation of requests. It intelligently discards irrelevant paths while determining the necessary data types to retrieve, ensuring that only relevant data is utilized in the evaluation process.
Career Highlights
Sahil Dahiya has a notable career within PayPal, Inc., where he has been instrumental in advancing the company's technological capabilities. His innovative approaches have garnered attention within the tech community, reinforcing PayPal's reputation as a leader in financial technology solutions.
Collaborations
In his professional journey, Dahiya has collaborated with esteemed colleagues including Srinivasan Manoharan and Vinesh Chirakkil. Their combined efforts have led to the development of advanced technologies within the company, focusing on enhancing the efficiency of data processing systems.
Conclusion
Sahil Dahiya's contributions to machine learning and data loading optimization reflect a commitment to innovation within the tech industry. As he continues to push the boundaries of what is possible within rule engines, his work promises to influence the future of data management and transaction processing.