Bengaluru, India

Krishna Ravali Jammalamadaka

This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krishna Ravali Jammalamadaka. Retrieved from https://idiyas.com/inventor/krishna-ravali-jammalamadaka

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Krishna Ravali Jammalamadaka: Patent Inventor in Bengaluru

Introduction

Krishna Ravali Jammalamadaka is an inventor based in Bengaluru, India, and is associated with Dell Products Inc. His patent work addresses vendor fraud risk assessment and value attribution.

Latest Patents

Jammalamadaka is named on 1 patent: “Third Party Vendor Fraud Risk Assessment Using Shapley Additive Explanations for Value Attribution.” The invention describes a method that uses order data and a classification model to predict fraud, then applies SHAP explanations and custom transformations to derive normalized features. A value-attribution algorithm uses those features and vendor information to calculate values for individual vendors, which can inform remediation decisions.

Career Highlights

His listed patent connects explainable machine learning with vendor evaluation. By translating fraud predictions into vendor-specific values, the method aims to support data-driven assessment and remediation.

Collaborations

The patent information names Sivaram Lakshminarayanan and Srivats Athindran as Jammalamadaka’s coworkers. Their inclusion here reflects the supplied information and does not establish their roles in the patent.

Conclusion

Krishna Ravali Jammalamadaka’s patent focuses on applying explainable AI and value attribution to third-party vendor fraud assessment.

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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