Company Filing History:
Years Active: 2022-2025
Title: Paritosh Kulkarni: Innovator and Patents Holder in Data Retrieval Technology
Introduction: Paritosh Kulkarni is an accomplished inventor based in San Jose, California, known for his significant contributions to data retrieval technologies. With a total of three patents to his name, Kulkarni has consistently demonstrated his innovative spirit and dedication to enhancing data processing methodologies.
Latest Patents: Kulkarni's latest patent, titled "System and method for retrieving data," presents a sophisticated framework that employs a set of processors to execute logic functions aimed at identifying specific portions of a data source that meet predefined criteria. The inventive system operates on a row of a column from the data source, deriving a value that is derived from the criteria for each logic function. The outputs from these logic functions serve as addresses applied to a specially configured table, which indicates true at the addresses aligning with the criteria being met, and false otherwise. Ultimately, data from the corresponding row of the database table with a true value is successfully retrieved from the data source.
Career Highlights: Paritosh Kulkarni is currently employed at Yellowbrick Data, Inc., where he plays an integral role in developing innovative data retrieval systems. His work has not only contributed to the company's growth but has also influenced various advancements in data processing technologies.
Collaborations: Throughout his career, Kulkarni has collaborated with notable colleagues, including Adel Alsaadi and Jim Peterson. Their teamwork fosters a creative environment conducive to innovation and the development of cutting-edge technologies within the field of data management.
Conclusion: Paritosh Kulkarni stands out as a prominent inventor in the realm of data retrieval technology. With his inventive contributions and strong collaborative spirit, he continues to push the boundaries of what is possible, paving the way for future innovations in data processing and retrieval systems.