Santa Clara, CA, United States of America

Shreyas Badiger Mahadev

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Shreyas Badiger Mahadev: Innovator in Predictive Autoscaling

Introduction

Shreyas Badiger Mahadev is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of resource utilization forecasting, particularly in the context of predictive autoscaling. His innovative approach has the potential to enhance the efficiency of container-based clusters.

Latest Patents

Shreyas holds a patent titled "Resource utilization forecasting for predictive autoscaling." This patent outlines techniques for predictive autoscaling, which include determining resource utilization metrics for multiple instances of a service running in a container-based cluster over time. The method involves applying a smoothing filter to these metrics, adjusting them by a nominal value, and calculating ratio metrics. A machine learning model is then used to predict future resource utilization, allowing for automatic adjustments to the cluster's configuration based on these predictions. He has 1 patent to his name.

Career Highlights

Shreyas is currently employed at Intuit, Inc., where he continues to develop innovative solutions in technology. His work focuses on improving resource management and efficiency in cloud computing environments. His expertise in predictive analytics and machine learning has positioned him as a valuable asset in his field.

Collaborations

Shreyas collaborates with talented individuals such as Xiaotang Shao and Hui Luo. Their combined efforts contribute to the advancement of technology and innovation within their organization.

Conclusion

Shreyas Badiger Mahadev is a notable inventor whose work in predictive autoscaling is paving the way for more efficient resource utilization in technology. His contributions are significant in the realm of cloud computing and machine learning.

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