This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2023.
Company Filing History:
Years Active: 2023
Title: Innovations by Sravan Kumar Kasturi
Introduction
Sravan Kumar Kasturi is an accomplished inventor based in Snohomish, WA (US). He has made significant contributions to the field of machine learning and state space models. His innovative work has led to the development of a patent that enhances the recalibration of machine learning models.
Latest Patents
Sravan Kumar Kasturi holds a patent titled "Recalibration frequency determination for state space models." This patent describes devices and techniques for determining a recalibration frequency of a state space model. In various examples, a first hyperparameter for a first dataset is determined. A residual value between a first data point of the first dataset and a machine learning model fitted to the first dataset is calculated. A plurality of second datasets is generated based on the residual value. Second hyperparameters are determined for the plurality of second datasets, and the variability of these second hyperparameters is assessed. A third hyperparameter is determined for a subset of the first dataset, leading to the determination of a recalibration frequency for the machine learning model by comparing the third hyperparameter to the variability of the second hyperparameters. Sravan holds 1 patent.
Career Highlights
Sravan Kumar Kasturi is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and data analysis. His work at Amazon has allowed him to contribute to cutting-edge technologies and innovative solutions in the tech industry.
Collaborations
Some of his notable coworkers include Ramesh Natarajan and Kamalakannan Elangovan. Their collaboration has fostered a productive environment for innovation and development within their projects.
Conclusion
Sravan Kumar Kasturi is a notable inventor whose work in recalibration frequency determination for state space models showcases his expertise in machine learning. His contributions continue to impact the field positively.
