Dublin, CA, United States of America

Ashutosh Shanker

This inventor holds 1 USPTO granted patent. Top assignee: Kzanna, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ashutosh Shanker. Retrieved from https://idiyas.com/inventor/ashutosh-shanker-txs5u1fo

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ashutosh Shanker: Applying Large Language Models to Log Analysis.

Introduction

Ashutosh Shanker is an inventor based in Dublin, California. His patent work explores how large language models can help analyze computer-system logs and extract insights tailored to specific domains.

Latest Patents

Shanker is associated with 1 patent: “Implementing Large Language Models to Extract Customized Insights from Log Data,” titled in the patent description “Systems and Methods for Identifying and Classifying Log Events Using Large Language Models.”

The disclosed method ingests log data produced by a computer system along with domain-specific data relevant to that system. An engine assesses the logs in light of the domain-specific information and assigns a sentiment classification to at least one log event. The method then receives that classification from the engine, providing a way to interpret log events with contextual information.

Career Highlights

Shanker is associated with Kzanna, Inc. His patent focuses on applying large language models to log analysis, combining system-generated data with domain knowledge to classify events.

Collaborations

The provided information identifies Vikram Ragukumar and Amol Iyer as Shanker’s coworkers. Their shared professional context connects them with his work at Kzanna, Inc.

Conclusion

Ashutosh Shanker’s patent describes a contextual approach to classifying computer-system log events, using large language models and domain-specific data to produce customized insights.

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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