Atlanta, GA, United States of America

Kunal Chawla

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kunal Chawla. Retrieved from https://idiyas.com/inventor/kunal-chawla-paelhye7

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Kunal Chawla: Innovator in Machine Learning Optimization

Introduction

Kunal Chawla is a prominent inventor based in Atlanta, GA (US). He has made significant contributions to the field of machine learning, particularly in optimizing the deployment of machine learning workloads. His innovative approach has garnered attention in the tech industry.

Latest Patents

Kunal holds a patent titled "Optimizing deployment of machine learning workloads." This patent describes a system that optimizes the deployment of a machine learning workload by receiving information related to the workload, determining a suitable machine learning model, and selecting an appropriate processing location. The system generates a request to process the workload at the chosen location using the identified model. Kunal has 1 patent to his name.

Career Highlights

Kunal Chawla is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing machine learning technologies and improving their practical applications in various industries.

Collaborations

Kunal has collaborated with talented individuals such as Luis Angel Bathen and Divyesh Jadav. These collaborations have contributed to the development of innovative solutions in the field of machine learning.

Conclusion

Kunal Chawla is a noteworthy inventor whose work in optimizing machine learning workloads has the potential to impact various sectors. His contributions to IBM and the tech community highlight the importance of innovation in 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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