St. Johns, FL, United States of America

Dnyanesh Ballikar

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dnyanesh Ballikar. Retrieved from https://idiyas.com/inventor/dnyanesh-ballikar

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Dnyanesh Ballikar and Dynamic Digital Immune Systems

Introduction

Dnyanesh Ballikar is an inventor based in St. Johns, Florida, and is associated with Bank of America Corporation. His work includes an invention focused on improving data integrity and reliability in explainable artificial intelligence systems.

Latest Patents

Ballikar’s listed patent is “Dynamic Digital Immune System (DDIS) for Explainable-AI Integrity.” The invention describes a real-time system that monitors data from distributed sources during federated training and detects corrupted, poisoned, or low-quality data using dynamic anomaly detection.

The system also includes automated data cleaning, adaptive encryption based on data sensitivity, and swarm intelligence-based task distribution for decentralized integrity audits. A traceability matrix records data lineage, while a self-healing mechanism is designed to correct identified anomalies. The patent record lists 1 patent for Ballikar.

Career Highlights

Ballikar’s listed invention addresses data quality, security, and transparency in high-stakes AI applications. By combining anomaly detection, data cleaning, encryption, auditing, and self-healing capabilities, DDIS aims to support more dependable AI outputs.

Collaborations

The provided information identifies Pratheesh Venkatraman as Ballikar’s coworker. It does not specify whether Venkatraman collaborated on the patent.

Conclusion

Dnyanesh Ballikar’s listed patent presents a comprehensive approach to protecting data integrity in explainable AI, combining real-time monitoring with security, traceability, and automated anomaly correction.

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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