Bengaluru, India

Vijay Mullangi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Micro Focus Lcc. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vijay Mullangi. Retrieved from https://idiyas.com/inventor/vijay-mullangi

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vijay Mullangi and His Patent on Adaptive Chunking.

Introduction

Vijay Mullangi is an inventor based in Bengaluru, India. His work includes a patent for adaptive chunking, a method for organizing document content before it is processed by an artificial intelligence language model.

Latest Patents

Mullangi is associated with 1 patent, titled “Adaptive Chunking.” The invention parses document content into sentences or other structures and evaluates their similarity. Sentences that meet a similarity threshold are grouped into chunks, then evaluated again using a more restrictive threshold. The threshold is selected to create a sufficiently flattened distribution of chunk sizes. The content may then be re-chunked before the resulting chunks are provided to an artificial intelligence language model, such as a large language model.

Career Highlights

Mullangi is associated with Micro Focus, a company focused on enterprise software and technology. His adaptive chunking patent describes an approach to structuring text for use with language models.

Collaborations

Mullangi’s listed coworkers include Adam Luciano and Arun Sharma. Their names provide context about his professional network, though the supplied information does not specify their roles in the patent.

Conclusion

Vijay Mullangi’s adaptive chunking patent presents a structured way to group and refine document content for language-model processing, reflecting his work in applied artificial intelligence.

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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