Bengaluru, India

Ashish Hari Chiplunkar


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Ashish Hari Chiplunkar: Innovator in Software Anomaly Detection

Introduction

Ashish Hari Chiplunkar is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of software engineering, particularly in the area of identifying anomalous behavior in software products. His innovative approach leverages data analysis and machine learning techniques to enhance software reliability.

Latest Patents

Chiplunkar holds a patent titled "Reactively identifying software products exhibiting anomalous behavior." This patent outlines techniques for identifying software products from an electronic marketplace that exhibit unusual behavior. The process involves accessing and analyzing various data types, including crash data, ratings data, marketplace data, and usage data. A machine learning mechanism is employed to classify applications based on the potential anomalies identified. Additionally, a severity score is calculated for the software applications, which aids in determining the necessity for further analysis or testing.

Career Highlights

Ashish Hari Chiplunkar is currently associated with Amazon Technologies, Inc., where he applies his expertise in software development and anomaly detection. His work focuses on improving the quality and performance of software products available to users. With a patent to his name, he has established himself as a key player in the tech industry.

Collaborations

Chiplunkar has collaborated with talented professionals such as Srikar Appalaraju and Amol Wanjari. These collaborations have contributed to the advancement of innovative solutions in software engineering.

Conclusion

Ashish Hari Chiplunkar is a distinguished inventor whose work in software anomaly detection is paving the way for more reliable software products. His contributions are significant in enhancing user experience and software performance.

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