Company Filing History:
Years Active: 2006-2008
Title: Abhijit Kundu: Innovator in Data Navigation and Filtering Technologies
Introduction
Abhijit Kundu is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of data navigation and filtering technologies. With a total of 4 patents to his name, Kundu's work has been instrumental in enhancing user interaction with complex data systems.
Latest Patents
Kundu's latest patents include a "Hierarchical data navigation tool populated by a web service." This invention provides a method for navigating data associated with multiple nodes in a hierarchy stored in a database. The nodes are organized into various levels, each with a label. The software requests and receives a set of labels from the database and displays a visual representation of the hierarchy to the user. Users can select multiple displayed labels from any level to process data associated with the corresponding nodes.
Another significant patent is the "Calendar control for selection of time periods to filter data." This invention focuses on filtering data in a database using a calendar user interface. It allows users to select a range or non-contiguous time periods and specify time periods relative to the current time. The relative time periods are then converted to fixed time periods internally.
Career Highlights
Abhijit Kundu is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in data navigation and filtering to develop innovative solutions that enhance user experience. Kundu's work at Microsoft has positioned him as a key player in the technology sector.
Collaborations
Kundu has collaborated with several talented individuals, including Brian Burdick and Adam E C Yeh. These collaborations have contributed to the successful development of his patented technologies.
Conclusion
Abhijit Kundu's contributions to data navigation and filtering technologies have made a significant impact in the field. His innovative patents reflect his commitment to improving user interaction with data systems.