San Francisco, CA, United States of America

Ujjwal Sarin

USPTO Granted Patents = 1 

Average Co-Inventor Count = 21.0

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovator Ujjwal Sarin: Advancing Natural Language Processing

Introduction: Ujjwal Sarin is an accomplished inventor based in San Francisco, CA, whose work in the field of natural language processing (NLP) has led to significant advancements in generating language models. With one patent to his credit, Sarin’s innovative methods are paving the way for more efficient and effective natural language understanding applications.

Latest Patents: Ujjwal Sarin holds a patent titled "Methods for generating natural language processing systems." This patent details a method that involves ingesting training data from various documents to analyze and generate a natural language model. It includes creating a hierarchical data structure with topical nodes to classify the data, annotating documents to understand their composition, and employing an adaptive machine learning process for generating a robust natural language model.

Career Highlights: Sarin’s career at Sansa Al Inc. highlights his dedication to advancing technologies within artificial intelligence and natural language models. His innovative approach to NLP is one of the key contributions that distinguishes him in the field of technology and innovation.

Collaborations: Throughout his career, Ujjwal Sarin has collaborated with notable colleagues such as Robert J. Munro and Schuyler D. Erle. Together, these professionals work to foster an environment of creativity and innovation, further enhancing the impact of their collective knowledge in technology.

Conclusion: Ujjwal Sarin is a prominent figure in the realm of natural language processing, whose inventive methods stand to shape the future of how machines understand human language. Through his patent and collaborations, Sarin continues to make strides that could redefine the landscape of artificial intelligence in communication.

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