San Mateo, CA, United States of America

Akangsha Sunil Bedmutha

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Akangsha Sunil Bedmutha: Innovator in Machine Learning and Predictive Systems

Introduction

Akangsha Sunil Bedmutha is a notable inventor based in San Mateo, CA (US). He has made significant contributions to the fields of machine learning and predictive systems, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

His latest patents include "Machine-learning techniques applied to interaction data for determining sequential content and facilitating interactions in online environments." This invention involves using machine-learning methods to generate recommendations for sequential content items. The method accesses a content item associated with an interaction stage in an online environment and generates a stage graph that includes a ratio of interactions. It identifies additional content items and calculates transition probabilities to enhance user interactions.

Another significant patent is for "Systems for predicting a terminal event." This system utilizes a classification model to generate event scores for various entity devices, indicating the probability of event occurrences within a specified period. The system segments devices based on their event scores and generates indications of the likelihood of exceeding maximum event thresholds.

Career Highlights

Akangsha is currently employed at Adobe, Inc., where he applies his expertise in machine learning and predictive analytics. His work contributes to the development of innovative solutions that enhance user experiences and improve interaction efficiencies.

Collaborations

He collaborates with talented coworkers, including Niranjan Shivanand Kumbi and Niyati Himanshu Chhaya, to drive forward-thinking projects at Adobe.

Conclusion

Akangsha Sunil Bedmutha is a prominent figure in the realm of technology, particularly in machine learning and predictive systems. His patents reflect his commitment to innovation and his ability to address complex challenges in online environments.

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