Greater Noida, India

Kompal Chaudhary

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Bold Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kompal Chaudhary. Retrieved from https://idiyas.com/inventor/kompal-chaudhary

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kompal Chaudhary: Inventor of a Multi-Signal Learning System.

Introduction

Kompal Chaudhary is an inventor based in Greater Noida, India. His patent work includes a system for recommending job skills for electronic documents.

Latest Patents

Chaudhary is associated with 1 patent, titled “Multi-Signal Learning System.” The invention describes techniques for recommending job skills by combining work history, job title, and experience-level information with curated skills datasets. An artificial intelligence model generates embeddings from work history statements and skills data, then compares them to identify relevant skills. The system merges and sorts the resulting skills before selecting them for sections of an electronic document.

Career Highlights

Chaudhary works at Bold Limited. His patent reflects an application of artificial intelligence to organizing professional experience and recommending skills for electronic documents.

Collaborations

The provided information lists Nimit Jain and Harshit Kauths as coworkers. It does not specify their roles in the patent or whether they collaborated with Chaudhary on the invention.

Conclusion

Kompal Chaudhary’s patent describes an AI-based approach to matching work history with relevant skills, and his work at Bold Limited connects this invention to practical career-document tools.

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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