Seattle, WA, United States of America

Justin Minaker

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022.


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Justin Minaker: Innovator in Dataflow Graph Automation

Introduction

Justin Minaker is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of dataflow automation, particularly through his innovative patent. His work is instrumental in enhancing the efficiency of query processing in data systems.

Latest Patents

Justin holds a patent titled "Standing query creation using store query." This invention focuses on the automated creation of a dataflow graph for a standing query. Once the dataflow graph is established, events can be processed to execute the standing query. The execution involves accessing a store query that is structured according to a specific query language. A syntax graph, such as an abstract syntax tree, is generated from the store query. Utilizing this syntax graph along with a set of rules from the query language, the dataflow graph is automatically created. This innovation significantly speeds up and simplifies the conversion of a store query into a standing query. Justin Minaker holds 1 patent.

Career Highlights

Justin is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work at Microsoft has allowed him to explore various aspects of technology licensing and intellectual property.

Collaborations

Some of Justin's notable coworkers include Gueorgui Chkodrov and Russell Biles. Their collaboration has contributed to the advancement of technology and innovation within their field.

Conclusion

Justin Minaker is a notable inventor whose work in dataflow graph automation has made a significant impact in the technology sector. His contributions continue to influence the efficiency of data processing systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…