San Francisco, CA, United States of America

Ramaswamy Alagianambi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Lendingclub Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ramaswamy Alagianambi. Retrieved from https://idiyas.com/inventor/ramaswamy-alagianambi

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 

% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ramaswamy Alagianambi: Innovator in Automated Negotiation Techniques

Introduction

Ramaswamy Alagianambi is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of negotiation technology through his innovative patent. His work focuses on enhancing the capabilities of computers as tools for assisting in negotiations.

Latest Patents

Ramaswamy holds a patent for "Automated bias elimination in negotiated terms." This patent introduces techniques aimed at improving the negotiation process by utilizing a trained machine learning system. The system predicts the likelihood that a party intends to comply with the terms under consideration. By employing these techniques, both parties in a negotiation can determine terms to offer each other, thereby reducing human bias and allowing for more objective decision-making.

Career Highlights

Ramaswamy is currently associated with LendingClub Corporation, where he applies his expertise in negotiation technology. His work at the company reflects his commitment to advancing the use of machine learning in practical applications.

Collaborations

Due to space constraints, the collaborations section will be omitted.

Conclusion

Ramaswamy Alagianambi's innovative approach to negotiation technology exemplifies the potential of machine learning in reducing bias and enhancing decision-making. His contributions are paving the way for more effective negotiation processes in various industries.

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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