This inventor holds 1 USPTO granted patent. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Prateek Bhatnagar: Innovator in Anomaly Detection Systems
Introduction
Prateek Bhatnagar is a notable inventor based in Karnataka, India. He has made significant contributions to the field of computer systems through his innovative patent. His work focuses on enhancing the performance and reliability of computing environments.
Latest Patents
Prateek holds a patent for an "Anomaly detection and tuning recommendation system." This invention provides systems and methods for detecting anomalies across multiple layers of a computer system, such as a compute server. The system is capable of identifying anomalies from the lower firmware layer up to the upper application layer. It collects training data from the computer system under testing, which includes features that impact performance metrics as defined by a selected benchmark. This training data is utilized to train machine learning (ML) models, which create a train snapshot corresponding to the benchmark. With each new release, a test snapshot can also be generated. The system detects anomalies based on the comparison of the train and test snapshots and recommends tunings for optimal feature sets based on data collected over generations of compute servers.
Career Highlights
Prateek Bhatnagar is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate and develop advanced technologies. His work has positioned him as a key player in the field of anomaly detection and system performance optimization.
Collaborations
Prateek has collaborated with notable colleagues, including Klaus-Dieter Lange and Mukund Kumar, contributing to the advancement of technology in their respective fields.
Conclusion
Prateek Bhatnagar's contributions to anomaly detection systems exemplify his commitment to innovation in technology. His patent reflects a deep understanding of computer systems and machine learning, paving the way for improved performance in computing environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
