Pimpri Chinchwad, India

Srikant Vilas Khole

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Srikant Vilas Khole. Retrieved from https://idiyas.com/inventor/srikant-vilas-khole

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 = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Srikant Vilas Khole: Innovator in Machine Learning

Introduction

Srikant Vilas Khole is a notable inventor based in Pimpri Chinchwad, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing data labeling processes, which is crucial for the development of intelligent systems.

Latest Patents

Srikant holds a patent titled "Hierarchical data labeling for machine learning using semi-supervised multi-level labeling framework." This patent involves a sophisticated method for processing data samples. The implementation includes receiving a plurality of data samples, generating a random forest structure, and utilizing a graph embedding algorithm to extract features. The method ultimately determines labels for unlabeled data samples based on their distances in the feature space. He has 1 patent to his name.

Career Highlights

Srikant is currently employed at Accenture Global Solutions Limited, where he applies his expertise in machine learning and data analysis. His role involves developing innovative solutions that leverage advanced technologies to improve business processes.

Collaborations

Some of Srikant's coworkers include Hrishikesh Satbhai and Mary A Ohara. Their collaborative efforts contribute to the advancement of projects within their organization.

Conclusion

Srikant Vilas Khole is a prominent figure in the realm of machine learning, with a focus on improving data labeling techniques. His contributions are paving the way for more efficient and intelligent systems in various applications.

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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