Karnataka, India

Rakshitha Gn

This inventor holds 1 USPTO granted patent. Top assignee: Oracle International Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rakshitha Gn. Retrieved from https://idiyas.com/inventor/rakshitha-gn

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 = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Rakshitha Gn and Automated Process Flow Learning.

Introduction

Rakshitha Gn is an inventor associated with Karnataka, India. Her patent work describes using machine learning to automate process flows in software applications.

Latest Patents

The provided information lists one patent for Rakshitha Gn: “Automated Process Flow Learning.” The invention trains a machine-learning component on data representing a user’s past interactions with a software application across multiple process flows. Each flow consists of tasks performed in sequence. Based on new task-related data, the trained component predicts a series of tasks and their order, then performs those tasks in the predicted sequence.

Career Highlights

Rakshitha Gn is associated with Oracle International Corporation. Her listed patent focuses on applying machine learning to predict and carry out sequences of software tasks. The provided information attributes 1 patent to her.

Collaborations

The listed coworkers are Nitin Misra and Shalini Krishna. The information provided does not specify their roles in the patent or their contributions to the invention.

Conclusion

Rakshitha Gn’s listed invention explores how machine learning can learn from past software interactions to predict and automate process flows.

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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