Campbell, CA, United States of America

Vishnu Konda

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vishnu Konda. Retrieved from https://idiyas.com/inventor/vishnu-konda

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Vishnu Konda: Inventor of Natural-Language Query Technology.

Introduction

Vishnu Konda is an inventor based in Campbell, California, and works at Apple Inc. His patent work includes technology for translating natural-language questions into structured database queries.

Latest Patents

Konda is associated with 1 patent, titled “Converting Natural Language Input to Structured Queries.” The technology receives a question expressed in natural language, identifies and scores candidate entities, and selects the entity with the highest score. It then uses a context-free grammar to convert the question into a structured query and classifies that query by its expected answer type. The system queries a database containing knowledge-graph information and presents an answer based on the results.

Career Highlights

Konda’s patent describes a process that connects everyday language with structured data retrieval. By combining entity selection, grammar-based query conversion, and answer-type classification, the technology is designed to help users obtain answers from databases using natural-language questions.

Collaborations

Konda’s listed coworkers include Chetan V Kale and Gang Xiang. His work at Apple Inc. places this invention within a company environment focused on developing technology and information systems.

Conclusion

Vishnu Konda’s patent highlights an approach to making database searches more accessible by converting natural-language questions into structured queries and returning answers informed by knowledge-graph data.

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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