Mountain View, CA, United States of America

Michael Welch

This inventor holds 1 USPTO granted patent. Top assignee: Excalibur IP, LLC. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Welch. Retrieved from https://idiyas.com/inventor/michael-welch-9hyl75ik

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


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Michael Welch: Innovator in Data Processing Systems

Introduction

Michael Welch is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of data processing systems. His innovative approach focuses on enhancing system performance through efficient data management.

Latest Patents

Michael Welch holds a patent for a "Feature rich view of an entity subgraph." This invention involves a data processing system that employs a pre-processing step to create a simplified view of a received entity graph. During this pre-processing step, only the necessary objects and attributes within the graph are selected for data processing. The system generates pruned source and target objects by omitting unnecessary attributes, resulting in a simplified view that enhances overall system performance. He has 1 patent to his name.

Career Highlights

Michael Welch is currently associated with Excalibur IP, LLC, where he continues to innovate in the realm of data processing. His work has been instrumental in developing systems that improve data handling and processing efficiency.

Collaborations

Michael collaborates with talented individuals such as Balaji Kannan and Aamod Sane, contributing to a dynamic work environment that fosters innovation.

Conclusion

Michael Welch's contributions to data processing systems exemplify the impact of innovative thinking in technology. His patent reflects a commitment to enhancing system performance through effective data management strategies.

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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