This inventor holds 1 USPTO granted patent. Top assignee: Morgan Stanley Services Group Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Jaya Sehgal: Innovator in Machine Learning for Computing Environments
Introduction
Jaya Sehgal is an accomplished inventor based in Jersey City, NJ (US). She has made significant contributions to the field of computing through her innovative patent. Her work focuses on enhancing the management and performance of computing environments using machine learning techniques.
Latest Patents
Jaya holds a patent titled "Managing development and performance in a computing environment using machine learning." This patent describes a system designed to manage development and performance by receiving change requests and evaluating them as embeddings within a computing environment. The system utilizes an asset graph to represent computing assets and their relationships. It is programmed to implement scheduled change requests and continuously monitor the computing environment's status. In the event of an issue, the system identifies relevant computing assets and change requests, comparing logs to identify additional relevant requests. It then implements remedial measures to address any identified issues. Jaya's innovative approach has the potential to significantly improve the efficiency and reliability of computing systems.
Career Highlights
Jaya is currently employed at Morgan Stanley Services Group Inc., where she applies her expertise in machine learning and computing environments. Her work has garnered attention for its practical applications and innovative solutions.
Collaborations
Jaya collaborates with talented professionals in her field, including her coworkers Rita Chaturvedi and Samer Abraham. Their combined efforts contribute to the advancement of technology and innovation within their organization.
Conclusion
Jaya Sehgal is a notable inventor whose work in machine learning and computing environments exemplifies innovation in technology. Her contributions are paving the way for more efficient computing solutions.
