Plainsboro, NJ, United States of America

Sujit Eapen

This inventor holds 18 USPTO granted patents and 4 published patent applications, primarily in Data Management Systems. Top assignee: Morgan Stanley Services Group Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sujit Eapen. Retrieved from https://idiyas.com/inventor/sujit-eapen

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

Calculating rank
USPTO Granted Patents = 18 

% Patents Active = 88.9

Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Princeton, NJ (US) (2019 - 2020)
  • Plainsboro, NJ (US) (2021 - 2024)

Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Data Management
Generative AI
Fraud Detection
Workflow Insights
Data Prediction
Application-Level Topology
Automated Signature Verification
Task Management
BPMN Conversion
Dynamic Workflow Builder
Handwriting Clustering
Process Isolation
18 patents (USPTO):Explore Patents

Title: **Innovator Spotlight: Sujit Eapen**

Introduction

Sujit Eapen is a remarkable inventor based in Plainsboro, NJ, who has made significant contributions to the field of technology, holding a total of 13 patents. His work primarily focuses on enhancing workflows and data management through innovative systems and methods.

Latest Patents

Among Sujit Eapen's latest innovations are two notable patents. The first, titled **Workflow Insights and Data Assistant**, presents a comprehensive system aimed at optimizing approval processes within software services. This innovative workflow platform integrates multiple business processes and user roles, featuring an AI-enabled chatbot. The chatbot employs generative AI techniques to offer insights into policies, procedures, and workflow transactions. Furthermore, it includes a data integration module that pulls and aggregates information from various sources, with a user-friendly interface designed to present summarized insights and automated approval of workflows based on predefined thresholds.

The second patent, **System and Method for Observing and Predicting Data Batch Activity in Real Time**, outlines a method for monitoring batch activities dynamically. This method involves acquiring ordered job lists from scheduling platforms and event data from file transfer sources. By enriching this information with metadata, it allows for the creation of a dependency graph where the nodes represent events and the edges indicate relationships. This graph serves to identify critical milestones and paths for executing jobs and file transfers, thus enabling real-time predictions of execution times.

Career Highlights

Sujit is currently employed at **Morgan Stanley Services Group Inc.**, where he combines his expertise in data analytics with a commitment to innovation. His impressive patent portfolio speaks to his dedication to improving technological processes.

Collaborations

Throughout his career, Sujit has worked alongside talented colleagues, including Sonil Trivedi and Sruthi Sangala. Their collaborative efforts contribute to developing groundbreaking solutions that drive efficiency within their organization.

Conclusion

Sujit Eapen exemplifies the spirit of innovation through his patents and relentless pursuit of enhancing technological workflows. His contributions not only advance his field but also enhance operational efficiencies, marking him as a notable inventor in the contemporary technological landscape.

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]
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