This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: American Express Travel Related Services Company, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Hemant Narayan Dhakate: Innovator in Data Processing Technologies
Introduction
Hemant Narayan Dhakate is a notable inventor based in Phoenix, AZ (US). He has made significant contributions to the field of data processing, particularly with his innovative approach to data regression frameworks. His work is characterized by a commitment to enhancing the efficiency and reliability of data processing pipelines.
Latest Patents
Hemant holds a patent for a "Data processing pipeline with data regression framework." This patent outlines a method that involves executing a sequence of job steps by job step executors within a data processing pipeline. The method includes recording current job execution data, determining deviations by comparing current data to historical data, and generating failure alerts when deviations are detected. This innovation aims to improve the accuracy and reliability of data processing tasks.
Career Highlights
Hemant is currently employed at American Express Travel Related Services Company, Inc. His role involves leveraging his expertise in data processing to contribute to the company's technological advancements. His innovative mindset and technical skills have positioned him as a valuable asset in his field.
Collaborations
Hemant has collaborated with talented professionals such as Swagata Ghosh and Rahul Agarwal. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions in data processing.
Conclusion
Hemant Narayan Dhakate is a distinguished inventor whose work in data processing technologies has made a significant impact. His innovative patent and contributions to American Express highlight his dedication to advancing the field. His collaborations further enhance the potential for future innovations in data processing.
