San Francisco, CA, United States of America

Adit Krishnan

This inventor holds 1 USPTO granted patent. Top assignee: Visa International Service Association. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Adit Krishnan. Retrieved from https://idiyas.com/inventor/adit-krishnan-kb44vvj1

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


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Adit Krishnan: Innovator in Knowledge Graph Technologies

Introduction

Adit Krishnan is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of knowledge graph technologies. His work focuses on enhancing the capabilities of machine learning through innovative methods and systems.

Latest Patents

Adit holds a patent titled "Method, system, and computer program product for knowledge graph based embedding, explainability, and/or multi-task learning." This patent connects task-specific inductive models with knowledge graph completion and enrichment processes. He has 1 patent to his name, showcasing his expertise in this cutting-edge area.

Career Highlights

Adit is currently employed at Visa International Service Association, where he applies his knowledge and skills to develop advanced technological solutions. His work at Visa emphasizes the importance of integrating knowledge graphs into various applications, enhancing both performance and interpretability.

Collaborations

Adit collaborates with talented professionals such as Mangesh Bendre and Hao Yang. These partnerships foster innovation and drive the development of new technologies in the field.

Conclusion

Adit Krishnan is a key figure in the realm of knowledge graph technologies, with a focus on embedding and explainability. His contributions are paving the way for advancements in machine learning and artificial intelligence.

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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