Bengaluru, India

Chandrakant Khandelwal

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chandrakant Khandelwal. Retrieved from https://idiyas.com/inventor/chandrakant-khandelwal

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 = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Chandrakant Khandelwal

Introduction

Chandrakant Khandelwal is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of artificial intelligence and deep learning. His work focuses on improving the efficiency of AI accelerators through innovative technologies.

Latest Patents

Chandrakant holds a patent titled "Graph context-based operator checks to improve graph clustering and execution in AI accelerator framework integration." This patent describes systems, apparatuses, and methods that parse a deep learning graph at runtime. The technology identifies nodes in topological order, marking them based on their support by target hardware. The attributes defining operation functionality include input node parameters, dimensions, and shapes. He has 1 patent to his name.

Career Highlights

Chandrakant is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies. His work at Intel has positioned him as a key player in the advancement of AI frameworks.

Collaborations

Chandrakant collaborates with talented individuals such as Laxmi Ganesan and Ritesh Kumar Rajore. Their teamwork fosters innovation and drives the development of new technologies in the field.

Conclusion

Chandrakant Khandelwal's contributions to AI and deep learning are noteworthy. His innovative patent and collaboration with skilled colleagues highlight his commitment to advancing technology.

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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