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For the Inventor, By the Inventor

Bengaluru, India

Ameet Deulgaonkar

This inventor holds 8 USPTO granted patents. Top assignee: Netapp, Inc.. Active years: 2012-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ameet Deulgaonkar. Retrieved from https://idiyas.com/inventor/ameet-deulgaonkar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 8

% Patents Active = 100.0

Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 59(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2016)
  • Bengaluru, IN (2012 - 2023)

Company Filing History:

goldMedal8 out of 2,888 
 
Netapp, Inc.
 patents

Years Active: 2012-2025

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8 patents (USPTO):Explore Patents
1. 12192281 - Machine learning based assignment of service levels in a networked storage system (2025-01-07),
2. 11785084 - Machine learning based assignment of service levels in a networked storage system (2023-10-10),
3. 9854060 - Methods and systems for monitoring network storage system resources by an API server (2017-12-26),
4. 9819732 - Methods for centralized management API service across disparate storage platforms and devices thereof (2017-11-14),
5. 9798891 - Methods and systems for service level objective API for storage management (2017-10-24),
6. 9274714 - Method and system for managing storage capacity in a storage network (2016-03-01),
7. 8719535 - Method and system for non-disruptive migration (2014-05-06),
8. 8327102 - Method and system for non-disruptive migration (2012-12-04),

Title: Ameet Deulgaonkar: Innovator in Networked Storage Systems

Introduction

Ameet Deulgaonkar is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of networked storage systems, holding a total of 8 patents. His work focuses on leveraging machine learning to enhance the efficiency and performance of storage systems.

Latest Patents

One of Ameet's latest patents is titled "Machine learning based assignment of service levels in a networked storage system." This patent outlines methods and systems for a networked storage system. The method includes transforming performance parameters associated with storage volumes of a storage system to represent each storage volume as a data point in a parametric space. It also involves generating a plurality of bins in the parametric space using the transformed performance parameters, adjusting bin boundaries for defining service levels based on these parameters, and utilizing the defined service levels for operating the storage system.

Career Highlights

Ameet Deulgaonkar is currently employed at NetApp, Inc., where he continues to innovate in the realm of data storage solutions. His expertise in machine learning and networked systems has positioned him as a key player in the industry.

Collaborations

Ameet has collaborated with notable colleagues such as Swaminathan Ramany and Shailaja Kamila, contributing to various projects that enhance the capabilities of networked storage systems.

Conclusion

Ameet Deulgaonkar's work in machine learning and networked storage systems exemplifies the innovative spirit of modern technology. His contributions are paving the way for more efficient data management solutions in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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