Bengaluru, India

Balakrishnan Mv

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Dell Products Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Balakrishnan Mv. Retrieved from https://idiyas.com/inventor/balakrishnan-mv

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Balakrishnan Mv: Innovator in Machine Learning for Container Incident Detection

Introduction

Balakrishnan Mv is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in the context of software containers. His innovative approach focuses on enhancing the reliability and efficiency of edge computing environments.

Latest Patents

Balakrishnan holds 1 patent for his invention titled "Detection of container incidents using machine learning techniques." This patent outlines methods, apparatus, and processor-readable storage media designed to detect incidents related to software containers. The invention involves generating representations of telemetry datasets associated with software containers, predicting their remaining lifetime, and determining their behavior patterns to trigger automated actions when necessary.

Career Highlights

Balakrishnan is currently employed at Dell Products Inc., where he applies his expertise in machine learning to develop innovative solutions. His work is instrumental in advancing the capabilities of software containers in edge computing environments.

Collaborations

He collaborates with talented colleagues, including Proma Mukherjee and Varadharajan Krishnamurthy, to drive forward-thinking projects and innovations within the company.

Conclusion

Balakrishnan Mv's contributions to machine learning and container incident detection exemplify the impact of innovative thinking in technology. His work not only enhances software reliability but also sets a precedent for future advancements in the field.

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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