Bengaluru, India

Ashutosh Patel

This inventor holds 7 USPTO granted patents and 2 published patent applications. Top assignee: Sap Se. Active years: 2019-2026.

USPTO Granted Patents = 7 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2026

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7 patents (USPTO):Explore Patents

Title: Ashutosh Patel: Innovator in Machine Learning Technologies

Introduction

Ashutosh Patel is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, holding a total of 7 patents. His work focuses on optimizing machine learning models for better performance and resource utilization.

Latest Patents

Among his latest patents is the "Dynamically scalable machine learning model generation and retraining through containerization." This invention allows for the assignment of various cloud resources to a machine learning model, enabling efficient training and retraining. By dynamically selecting the weight of containers, it improves hardware utilization, addressing the resource-intensive nature of machine learning algorithms. Another notable patent is the "Scalable architecture for machine learning model reuse." This architecture optimizes the reuse of machine learning models by recommending models based on specified parameters, enhancing the efficiency of model discovery and selection.

Career Highlights

Ashutosh Patel currently works at SAP SE, where he continues to innovate in the realm of machine learning technologies. His expertise and inventions have positioned him as a key player in the industry, contributing to advancements that benefit various applications.

Collaborations

He collaborates with talented individuals such as Panish Ramakrishna and Nithya Rajagopalan, further enhancing the innovative environment at SAP SE.

Conclusion

Ashutosh Patel's contributions to machine learning through his patents and work at SAP SE highlight his role as a leading inventor in the field. His innovative approaches are paving the way for more efficient and scalable machine learning solutions.

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