Mumbai, India

Shraddha Kelkar

This inventor holds 1 USPTO granted patent. Top assignee: Honeywell International Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shraddha Kelkar. Retrieved from https://idiyas.com/inventor/shraddha-kelkar

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

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shraddha Kelkar: Innovating Annual Product Quality Reporting

Introduction

Shraddha Kelkar is an inventor based in Mumbai, India, whose work includes a patented approach to generating executive summaries and data visualizations for annual product quality reports. The invention applies natural language processing and large language models to help users retrieve relevant information and produce summaries in a predetermined format.

Latest Patents

Kelkar is associated with 1 patent, titled “Method and System for Generating Executive Summaries and Data Visualizations for Annual Product Quality Reports.” The disclosed method receives a user’s text query, identifies relevant content using natural language processing, and retrieves corresponding information from a database. It then supplies selected indexes and few-shot prompts to a large language model, which generates a text summary for display on a user device. The system is designed to support executive summaries and visualizations based on enterprise product quality data.

Career Highlights

Kelkar works at Honeywell International Inc. Her patent reflects an application of language-processing and generative AI technologies to the preparation of annual product quality reports.

Collaborations

Kelkar’s listed coworker is Waad Subber. The available information identifies their professional association but does not specify further details about their collaboration.

Conclusion

Shraddha Kelkar’s patented work brings together database retrieval, natural language processing, and large language models to streamline the creation of executive summaries for annual product quality reports.

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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