San Jose, CA, United States of America

Mitun Lahiri

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mitun Lahiri. Retrieved from https://idiyas.com/inventor/mitun-lahiri

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Mitun Lahiri and Application Usage Analysis-Based Experiment Generation.

Introduction

Mitun Lahiri is an inventor based in San Jose, California. His patent work addresses how application interaction data can inform experiments and help improve user experiences.

Latest Patents

Lahiri is associated with 1 patent, titled “Application Usage Analysis-Based Experiment Generation.” The invention describes systems and methods for evaluating application interactions and related metadata to identify patterns associated with desired and undesired actions. These patterns can help predict future actions and guide experiments designed to increase desired outcomes. The methods also include using synthetic traffic, or “canaries,” to assess how different user journeys and application data affect those outcomes.

Career Highlights

Lahiri is associated with Amazon Technologies, Inc. His patent reflects work on applying usage analysis and predictive insights to application feature experiments.

Collaborations

Lahiri’s listed coworkers include Victoria Gritton and Daniel E. Nations. The available information identifies these professional associations but does not specify their roles in the patent.

Conclusion

Mitun Lahiri’s patent focuses on using application interaction data to shape experiments, evaluate user journeys, and support improvements to desired application outcomes.

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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