Bengaluru, India

Prateek Mukhija

This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Prateek Mukhija. Retrieved from https://idiyas.com/inventor/prateek-mukhija

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 = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Prateek Mukhija - Innovator in Machine Learning

Introduction

Prateek Mukhija is a talented inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in automated data extraction and prediction.

Latest Patents

Prateek holds a patent for a machine learning model that automates data extraction and prediction. This innovative technology involves a text extraction engine that extracts data from documents and utilizes a machine learning model to identify and classify protected entities within that data. The model generates corresponding unprotected entities and replaces the protected ones, enabling efficient data handling.

Career Highlights

Prateek is currently employed at Intuit, Inc., where he applies his expertise in machine learning to develop cutting-edge solutions. His work has garnered attention for its practical applications in data management and analysis.

Collaborations

Throughout his career, Prateek has collaborated with notable colleagues, including Chandrashekhar Jha and Bharath G R. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Prateek Mukhija is a promising inventor whose work in machine learning is paving the way for advancements in automated data processing. His contributions are not only valuable to his company but also to the broader field of 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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