Company Filing History:
Years Active: 2020-2022
Title: Nilesh Khandelwal: Innovator in Key-Value Data Representation
Introduction
Nilesh Khandelwal is a talented inventor based in Mountain View, CA, with a significant contribution to the field of data representation and storage. He holds three patents that showcase his innovative solutions for enhancing schema-less and relational data handling.
Latest Patents
Khandelwal’s recent patents include cutting-edge technologies aimed at improving data conversion and retrieval processes. One of his notable inventions, "Schemaless to Relational Representation Conversion," introduces a system where a processor is configured to receive a set of data in a schemaless format. The system automatically translates this data into a relational representation, thus enabling easier query-based retrieval from a key-value data store.
Another important patent focuses on the "Balanced Key Range Based Retrieval of Key-Value Database." This invention improves data storage efficiency by generating a partitioning token prefix for incoming data objects, thereby optimizing how data is organized within key-value stores. By determining a logical key and combining it with the partitioning token, Khandelwal’s method enhances data retrieval performance.
Career Highlights
Nilesh Khandelwal is currently employed at Mulesoft, Inc., where he continues to innovate and work on new solutions that enhance data manipulation and storage systems. His expertise has contributed significantly to Mulesoft's efforts in creating versatile integration platforms.
Collaborations
Throughout his career, Khandelwal has collaborated with skilled professionals, including his coworkers Jiang Wu and Aditya Vailaya. These collaborations foster a creative environment that drives innovation and helps turn complex challenges into practical solutions.
Conclusion
Nilesh Khandelwal stands out as a forward-thinking inventor in the realm of data technology. With his three patented inventions, he has made significant strides in advancing how schema-less data is converted and retrieved. His work at Mulesoft, Inc. exemplifies the impact of innovative thinking in improving data management processes.