Sydney, Australia

Viktor Krisztian Adam


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Viktor Krisztian Adam: Innovator in Data Retrieval Systems

Introduction

Viktor Krisztian Adam is a notable inventor based in Sydney, Australia. He has made significant contributions to the field of data retrieval systems, holding three patents that showcase his innovative approach to technology. His work primarily focuses on enhancing the efficiency of data retrieval processes through advanced methods.

Latest Patents

Among his latest patents is a groundbreaking method for data retrieval systems. This computer-implemented method involves generating a subscription identifier based on an original SQL query. It determines if a set of first stage query results is associated with the subscription identifier in a cache. If this condition is met, the method generates a second stage SQL query based on a second subset of the plurality of clauses and the set of first stage query results. This process leads to the execution of the second stage SQL query, which retrieves a set of second stage query results from a database, ultimately returning these results to the user.

Career Highlights

Viktor has worked with prominent companies, including Atlassian Corporation Pty Ltd. and Atlassian US, Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that push the boundaries of technology.

Collaborations

Throughout his career, Viktor has collaborated with talented individuals such as Andre Van Der Schyff and Guido Rota. These partnerships have fostered a creative environment that has led to the development of cutting-edge solutions in data retrieval.

Conclusion

Viktor Krisztian Adam is a distinguished inventor whose work in data retrieval systems has made a significant impact in the tech industry. His innovative methods and collaborations highlight his commitment to advancing technology and improving data management processes.

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