Santa Monica, CA, United States of America

Ajit Singh Chadha

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Rule 14. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ajit Singh Chadha. Retrieved from https://idiyas.com/inventor/ajit-singh-chadha

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 = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Ajit Singh Chadha

Introduction

Ajit Singh Chadha is an accomplished inventor based in Santa Monica, California. He has made significant contributions to the field of machine learning and data privacy through his innovative patent. His work exemplifies the intersection of technology and privacy, addressing critical challenges in data handling.

Latest Patents

Ajit Singh Chadha holds a patent for a method titled "Randomizing character corrections in a machine learning classification system." This patent outlines a method for maintaining data privacy by extracting a group of characters from one or more data fields associated with documents. The method involves associating images of each character to a digital representation and randomly assigning these representations to reviewers. This innovative approach ensures that the digital representations do not meet a confidence condition, thereby enhancing data privacy.

Career Highlights

Throughout his career, Ajit Singh Chadha has focused on developing technologies that prioritize user privacy while leveraging machine learning capabilities. His work has garnered attention for its practical applications in various industries, particularly in sectors that handle sensitive data.

Collaborations

Due to space constraints, the details of collaborations will not be included.

Conclusion

Ajit Singh Chadha's contributions to machine learning and data privacy through his patent demonstrate his commitment to innovation in technology. His work continues to influence the way data is managed and protected in today's digital landscape.

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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