Company Filing History:
Years Active: 2019-2020
Title: Innovations by Pamela Shen Vagata
Introduction
Pamela Shen Vagata is an accomplished inventor based in Menlo Park, CA (US). She has made significant contributions to the field of machine learning, holding a total of 3 patents. Her work focuses on developing tools that enhance the efficiency and effectiveness of machine learning workflows.
Latest Patents
One of her latest patents is a "Machine learning system flow authoring tool." This invention includes a workflow authoring tool that accesses a text string representation of a workflow and a text string representation of at least one data processing operator type. The tool enables the definition of various data processing operator types that can be referenced in defining the machine learning workflow. When scheduling a workflow, the text string representation can be parsed to generate an interdependency graph of the data processing operators.
Another notable patent is the "Machine learning system interface." This invention features an experiment management interface for a machine learning system, which manages workflow runs related to building or testing machine learning models. The interface allows for the creation of new experiments associated with workflows and can automatically generate comparative visualizations at the conclusion of running a new workflow.
Career Highlights
Pamela currently works at Facebook, Inc., where she continues to innovate in the field of machine learning. Her expertise in developing advanced tools has positioned her as a key contributor to her team and the broader tech community.
Collaborations
Throughout her career, Pamela has collaborated with notable colleagues, including Stuart Michael Bowers and Hussein Mohamed Hassan Mehanna. These collaborations have further enriched her work and contributed to the success of her projects.
Conclusion
Pamela Shen Vagata is a pioneering inventor whose work in machine learning is shaping the future of technology. Her patents reflect her commitment to innovation and her ability to create tools that enhance machine learning processes.