Bellevue, WA, United States of America

Deepak Konidena

This inventor holds 1 USPTO granted patent. Top assignee: Peopleconnect, Inc.. Active years: 2020.


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Deepak Konidena: Innovator in Entity Resolution

Introduction

Deepak Konidena, based in Bellevue, WA, is a notable inventor whose contributions in the field of data organization and resolution have led to advancements in processing large datasets. With a focus on innovative approaches, he is making significant strides in the technological landscape.

Latest Patents

Deepak holds one patent titled "Graph-based organization entity resolution." This novel approach for the organization entity domain can be effectively implemented within the MapReduce framework. It is designed to have low memory requirements, enabling scalability to large-scale datasets. Notably, his new clustering technique, sClust, greatly enhances the recall of the pairwise classifier, showcasing Deepak's commitment to improving entity resolution processes.

Career Highlights

Currently, Deepak is employed at PeopleConnect, Inc., where he applies his expertise to develop cutting-edge solutions. His work at the company emphasizes the importance of innovation in organization and data management, reflecting a strong commitment to addressing industry challenges.

Collaborations

Deepak has collaborated with talented professionals including Hakan Kardes and Siddharth Agrawal. Together, they are contributing to advancements in technology and the development of more efficient organizational frameworks for data entities.

Conclusion

In summary, Deepak Konidena's dedication to innovation in entity resolution, coupled with his impactful patent, showcases his role as a significant inventor in the tech industry. Through his work at PeopleConnect, Inc., and valuable collaborations, he continues to drive progress in improving the methodologies of data processing and organization.

Profile summary based on public USPTO records.
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