Seattle, WA, United States of America

Pooja Sanjay Sonawane


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Pooja Sanjay Sonawane

Introduction

Pooja Sanjay Sonawane is an accomplished inventor based in Seattle, WA. She has made significant contributions to the field of natural language processing, holding 2 patents that showcase her expertise and innovative thinking. Her work is particularly relevant in today's technology-driven world, where effective communication between humans and machines is essential.

Latest Patents

Pooja's latest patents focus on evaluating natural language processing components. The techniques described in her patents involve assessing a natural language understanding (NLU) component and determining actions to resolve issues that arise when processing user input. The system she developed identifies which component is invoked by a baseline NLU component and which is invoked by an updated NLU component. Based on this information, the system selects the appropriate action to address any undesired responses generated by the updated NLU component.

Career Highlights

Pooja Sanjay Sonawane is currently employed at Amazon Technologies, Inc., where she continues to push the boundaries of innovation in her field. Her work at Amazon has allowed her to collaborate with other talented professionals and contribute to cutting-edge projects that enhance user experience through improved natural language processing.

Collaborations

Some of Pooja's notable coworkers include Pavel Bhowmik and Melanie C B Gens. Their collaboration fosters a creative environment that encourages the development of innovative solutions in technology.

Conclusion

Pooja Sanjay Sonawane's contributions to natural language processing through her patents and work at Amazon Technologies, Inc. highlight her role as a leading inventor in the tech industry. Her innovative techniques are paving the way for more effective human-computer interactions.

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