Mumbai, India

Roshan Miranda

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Roshan Miranda. Retrieved from https://idiyas.com/inventor/roshan-miranda-h8lvl3mj

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: Roshan Miranda and Hybrid Computing for Confidential Data Retrieval.

Introduction

Roshan Miranda is an inventor based in Mumbai, India. His patent work describes a hybrid-computing approach to confidential database searches and access-less data retrieval.

Latest Patents

Miranda is associated with 1 patent: “Hybrid Computing for Access-Less Surgical Retrieval.” The patent describes systems and methods that combine quantum and classical processors to search confidential databases and retrieve relevant information. A classical processor authenticates requests and converts them into request strings, which are then interfaced with a quantum processor. The system runs Grover’s searches in parallel and can fetch data from smart contracts in blockchain ledgers and sub-ledgers. It also describes retrieving dynamic market data through a legacy transformation platform, using dynamically derived values and a machine learning model.

Career Highlights

Miranda is associated with Bank of America Corporation. His patent describes applying hybrid computing, blockchain data sources, and machine learning to confidential information retrieval.

Collaborations

The provided information lists Rajalakshmi Arumugam and Ramya Sivaramakrishnan as Miranda’s coworkers. Their specific roles in the patent or related work are not stated.

Conclusion

Roshan Miranda’s patent presents a hybrid quantum-classical approach to confidential database searching and retrieval, combining parallel search methods with blockchain data access and machine learning.

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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