Seattle, WA, United States of America

Debanjan Datta

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Debanjan Datta. Retrieved from https://idiyas.com/inventor/debanjan-datta

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Debanjan Datta: Innovator in Synthetic Data Generation

Introduction

Debanjan Datta is a prominent inventor based in Seattle, WA (US). He has made significant contributions to the field of synthetic data generation and machine learning model testing. His innovative techniques are paving the way for advancements in data science and artificial intelligence.

Latest Patents

Debanjan holds a patent for "Synthetic data generation and machine learning model testing." This patent describes techniques for generating synthetic data and testing machine learning models. For instance, synthetic data can be generated by selecting one or more transformation modules, instantiating them, and applying them in a defined order to at least one dataset. This process allows for the creation of synthetic data tailored to specific needs.

Career Highlights

Debanjan Datta is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of data generation and machine learning. His work is instrumental in enhancing the capabilities of machine learning models through the use of synthetic data.

Collaborations

Debanjan collaborates with notable professionals in his field, including Gerald Friedland. Their combined expertise contributes to the advancement of technology in synthetic data generation.

Conclusion

Debanjan Datta is a key figure in the innovation of synthetic data generation and machine learning model testing. His contributions are shaping the future of data science and artificial intelligence.

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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