San Jose, CA, United States of America

Archana Yadawa


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Archana Yadawa: Innovator in Task Dependency Extraction

Introduction

Archana Yadawa is a prominent inventor based in San Jose, California. She has made significant contributions to the field of computer science, particularly in the area of task dependency extraction. Her innovative work has led to the development of a unique patent that enhances project management through advanced natural language processing techniques.

Latest Patents

Archana holds a patent titled "Task dependency extraction sharing and notification." This invention provides a method, computer program product, and computer system that allows a processor to receive message data from natural language conversations among project participants. The processor identifies at least two tasks mentioned in the message data and determines the dependency between these tasks using a sequential language model. The result is a directed graph that depicts the tasks and their dependencies, which is then shared with participants. Additionally, the system notifies participants who are blocked when dependent tasks are completed. This patent showcases her ability to merge technology with practical applications in project management.

Career Highlights

Archana Yadawa is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and collaborate with other talented professionals in the industry.

Collaborations

Some of her notable coworkers include Meenakshi Madugula and Bailey Duncan. Their collaboration fosters an environment of innovation and creativity, contributing to the success of their projects.

Conclusion

Archana Yadawa's contributions to the field of task dependency extraction exemplify her innovative spirit and dedication to improving project management through technology. Her patent reflects her expertise and commitment to advancing the capabilities of natural language processing in professional settings.

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