Milpitas, CA, United States of America

Sanika Shirwadkar

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Sanika Shirwadkar: Innovator in Electronic Information Extraction

Introduction

Sanika Shirwadkar is a talented inventor based in Milpitas, CA (US). She has made significant contributions to the field of electronic information extraction through her innovative patent. Her work focuses on utilizing machine-learned model architecture to enhance the efficiency of information extraction from electronic documents.

Latest Patents

Sanika holds a patent titled "Electronic information extraction using a machine-learned model architecture method and apparatus." This patent discloses techniques for automatic intelligent information extraction from electronic documents. In one embodiment, the computerized method involves training a label prediction model to generate a set of label predictions. The process includes obtaining an electronic document, analyzing it, and determining a set of features for each identified information item. The model output comprises probabilities corresponding to various information classes, ultimately generating an information extraction with corresponding labels.

Career Highlights

Sanika is currently employed at Yahoo Assets LLC, where she applies her expertise in machine learning and information extraction. Her innovative approach has positioned her as a key player in her field, contributing to advancements in technology and information processing.

Collaborations

Sanika collaborates with notable colleagues, including Nicolas Torzec and Kostas Tsioutsiouliklis. Their combined efforts foster a creative environment that drives innovation and enhances the development of cutting-edge technologies.

Conclusion

Sanika Shirwadkar is a pioneering inventor whose work in electronic information extraction showcases her commitment to advancing technology. Her contributions are shaping the future of information processing and machine learning.

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