Dublin, CA, United States of America

Karteek Reddy Chada

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Paypal, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Karteek Reddy Chada. Retrieved from https://idiyas.com/inventor/karteek-reddy-chada

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

USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 3.8

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: Innovations of Karteek Reddy Chada

Introduction

Karteek Reddy Chada is an accomplished inventor based in Dublin, California. He has made significant contributions to the field of technology, particularly in graph databases and dynamic recommendation systems. With a total of 3 patents, his work showcases innovative approaches to complex problems.

Latest Patents

One of Karteek's latest patents is titled "Cross-graph transitions for graph database queries." This invention discloses techniques for enabling cross-graph querying in graph databases using a transition operator within a traversal context. The computing system processes a traversal operation within the first graph, retrieves intermediary data, and transitions to the second graph for subsequent operations. The query engine utilizes confidence scores associated with edges in the graphs to filter or prioritize results, ensuring the reliability of returned data. Additionally, data validation techniques using a mirror graph are disclosed, which validate new data before integration into a production graph. These techniques streamline cross-graph data analysis, improve query efficiency, and maintain graph database integrity while supporting applications such as fraud detection, recommendation systems, and account linking.

Another notable patent is the "Dynamic recommendation system using reinforcement learning for continual learning." This system predicts content items using a neural network model and performs reinforcement learning as continual learning for training the model. It involves obtaining a dataset of user actions and historical data, extracting embeddings, and outputting a trained model. The trained model determines a set of candidate content items and their respective prediction values, ultimately outputting one or more content items based on these values.

Career Highlights

Karteek Reddy Chada is currently employed at PayPal, Inc., where he applies his expertise in technology and innovation. His work at PayPal has allowed him to contribute to advancements in financial technology and user experience.

Collaborations

Karteek has collaborated with talented individuals such as Yiwei Li and Sridevi Nelluri. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Karteek Reddy Chada is a notable inventor whose work in graph databases and recommendation systems has made a significant impact in the technology sector. His innovative patents and contributions to PayPal highlight his dedication to advancing technology and improving user experiences.

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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