Mumbai, India

Jeevan Prakash

This inventor holds 2 USPTO granted patents. Top assignee: Quantiphi, Inc. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeevan Prakash. Retrieved from https://idiyas.com/inventor/jeevan-prakash

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Innovations by Jeevan Prakash

Introduction

Jeevan Prakash is an accomplished inventor based in Mumbai, India. He has made significant contributions to the field of data processing and neural networks. With a total of 2 patents, his work focuses on enhancing the understanding and classification of data elements within documents.

Latest Patents

Jeevan Prakash's latest patents include a method and system for identifying hierarchical relationships between data elements of a document. This innovative method involves receiving multiple sample documents, classifying data elements, and employing a neural network framework to identify multi-level hierarchical relationships. Another notable patent is a system and method for training a neural network for entity detection. This method processes documents to detect widget entities and classify them based on their state, ultimately generating training pairs for the neural network.

Career Highlights

Jeevan Prakash is currently associated with Quantiphi, Inc., where he applies his expertise in data processing and neural networks. His work has been instrumental in developing advanced systems that enhance data analysis and entity detection.

Collaborations

Some of his notable coworkers include Reghu Hariharan and Kavitha S. These collaborations have contributed to the innovative projects at Quantiphi, Inc.

Conclusion

Jeevan Prakash's contributions to the field of data processing and neural networks demonstrate his commitment to innovation. His patents reflect a deep understanding of hierarchical data relationships and entity detection, positioning him as a key figure in his field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…