Hyderabad Telangana, India

Krunal Kanubhai Mevada


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Krunal Kanubhai Mevada: Innovator in Microservices Anomaly Detection

Introduction

Krunal Kanubhai Mevada is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of technology, particularly in the area of microservices and machine learning. His innovative approach has led to the development of a unique patent that addresses critical challenges in microservice operations.

Latest Patents

Krunal holds a patent for a method of microservices anomaly detection. This method involves collecting parameters related to at least one microservice operation processed by a first instance of a microservice. The parameters are then analyzed using one or more machine learning algorithms. Based on this analysis, a prediction is made regarding whether the microservice operation is anomalous. If an anomaly is detected, the first instance of the microservice is designated as being in an anomalous state. Consequently, one or more microservice requests are routed to a second instance of the microservice in response to this designation.

Career Highlights

Krunal is currently employed at Dell Products Inc., where he applies his expertise in technology and innovation. His work focuses on enhancing the efficiency and reliability of microservices through advanced detection methods. His contributions have been instrumental in improving operational performance within the company.

Collaborations

Krunal has collaborated with talented professionals such as Bijan Kumar Mohanty and Vishal Agarwal. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Krunal Kanubhai Mevada is a distinguished inventor whose work in microservices anomaly detection showcases his commitment to advancing technology. His patent reflects a significant step forward in the field, demonstrating the potential of machine learning in improving microservice operations.

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