This inventor holds 1 USPTO granted patent. Top assignee: Fmr Corp.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations by Kaustubh Ajgaonkar
Introduction
Kaustubh Ajgaonkar is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of data extraction through his innovative patent. His work focuses on enhancing the efficiency of extracting data from unstructured sources, which is crucial in today's data-driven world.
Latest Patents
Kaustubh holds a patent titled "Systems and methods for data extraction using proximity co-referencing." This patent describes a method for extracting data from unstructured data sources based on a proximity co-reference resolution model. The process involves receiving an electronic document from an unstructured data source and extracting entities from it. Additionally, the method includes receiving fields to be extracted and generating keywords based on those fields. Each entity is associated with at least one field, and the method identifies keywords in the document while calculating proximity scores for each field. Ultimately, it identifies field-entity pairs based on these scores and generates them for display on a user device. Kaustubh has 1 patent to his name.
Career Highlights
Kaustubh is currently employed at FMR Corporation, where he applies his expertise in data extraction technologies. His innovative approach has contributed to the development of advanced systems that streamline data processing and enhance information retrieval.
Collaborations
Throughout his career, Kaustubh has collaborated with talented professionals, including Abhinav Pandey and Praveen Narayanasamy. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Kaustubh Ajgaonkar is a notable inventor whose work in data extraction has the potential to transform how we interact with unstructured data. His contributions are paving the way for more efficient data processing solutions in various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
