This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2019-2020.
Company Filing History:
Years Active: 2019-2020
Title: Subhadeep Chakraborty: Innovator in Classification Technologies
Introduction
Subhadeep Chakraborty is a notable inventor based in Seattle, WA. He has made significant contributions to the field of classification technologies, holding 2 patents that enhance the accuracy and efficiency of electronic catalogs and machine learning models.
Latest Patents
One of his latest patents focuses on classification accuracy estimation. This technology determines accuracy estimates for classifications used in electronic catalogs. It addresses the issue of classifications that inaccurately represent products within product groupings. By updating these classifications, the electronic catalog can better reflect the actual products included. The patent also involves collecting update metrics to calculate accuracy estimates for the classifications used.
Another significant patent involves techniques for generating machine learning training data. This innovation utilizes a classification engine to improve classification models. It derives a statistical model based on a synthetic data set and identifies misclassifications. The process includes providing audit questions to individuals and validating the statistical model based on their responses.
Career Highlights
Subhadeep Chakraborty is currently employed at Amazon Technologies, Inc., where he applies his expertise in classification technologies. His work contributes to the development of advanced systems that enhance product categorization and machine learning processes.
Collaborations
He collaborates with talented coworkers, including Archiman Dutta and Avik Sinha, to drive innovation and improve classification methodologies.
Conclusion
Subhadeep Chakraborty is a prominent inventor whose work in classification technologies has the potential to significantly impact electronic catalogs and machine learning. His patents reflect a commitment to improving accuracy and efficiency in these fields.
