This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Vmware, Inc.. Active years: 2021-2022.
Company Filing History:
Years Active: 2021-2022
Title: Innovations by Jasmine Ejner
Introduction
Jasmine Ejner is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of technology, particularly in distributed computing and machine learning. With a total of 2 patents, her work showcases her innovative spirit and dedication to advancing technology.
Latest Patents
Jasmine's latest patents include "Methods and systems that carry out live migration of multi-node applications." This patent focuses on techniques for live migration of multi-node applications in distributed-computing systems, including cloud-computing applications. The methods utilize an installer/agent and a data-transformation component to facilitate the installation of new versions of applications without service interruptions.
Another notable patent is "Enhanced learning with feedback loop for machine reading comprehension models." This invention outlines a method for training machine learning models by first using a generic dataset and then progressively training on domain-specific data. The approach ensures that the model is effectively trained to handle both easy and difficult inputs, enhancing its overall performance.
Career Highlights
Jasmine currently works at VMware, Inc., where she continues to innovate and contribute to cutting-edge technology solutions. Her expertise in distributed computing and machine learning has positioned her as a valuable asset in her field.
Collaborations
Jasmine collaborates with talented individuals such as Suchit Dhakate and Ramachandran Thirupathi. These partnerships enhance her work and contribute to the development of innovative solutions in technology.
Conclusion
Jasmine Ejner's contributions to technology through her patents and work at VMware, Inc. highlight her role as a leading inventor in her field. Her innovative approaches to distributed computing and machine learning continue to shape the future of technology.