Seattle, WA, United States of America

David Said Martinez


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations of David Said Martinez

Introduction

David Said Martinez is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on improving the management of code and data, which is crucial for the development of effective machine learning models.

Latest Patents

David holds a patent for "Unified code and data management for model development." This patent discloses methods, systems, and computer-readable media for unified code and data management for machine learning models. The invention involves generating a plurality of dependency graphs, including a first dependency graph and a second dependency graph. These graphs comprise nodes associated with a software development model or machine learning model, representing various transforms. The transforms of the first dependency graph are utilized to generate output corresponding to a node in the second dependency graph, while the transforms of the second dependency graph generate additional output based on the first output.

Career Highlights

David is currently employed at Amazon Technologies, Inc., where he continues to innovate and contribute to advancements in technology. His work at Amazon has allowed him to apply his expertise in machine learning and software development, further enhancing the capabilities of the company.

Collaborations

David has collaborated with notable colleagues, including Donald Erik Schneider and Ryan Paul Thomas. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

David Said Martinez is a prominent inventor whose work in unified code and data management has the potential to transform the landscape of machine learning. His contributions at Amazon Technologies, Inc. and his innovative patent highlight his commitment to advancing technology.

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