This inventor holds 2 USPTO granted patents. Top assignee: Shopify Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Mikhal Arkhangorodsky: Innovator in Data Query Systems
Introduction
Mikhal Arkhangorodsky is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of data querying and analysis. With a total of 2 patents, his work focuses on enhancing the efficiency of funnel queries across multiple data partitions.
Latest Patents
Arkhangorodsky's latest patents include innovative systems and methods for performing funnel queries. These patents allow data to be queried and analyzed to draw valuable insights. One of the key features of his work is the ability to perform funnel queries, which are characterized by a sequence of events. For example, a funnel query can determine how many unique users performed a series of events within a specified timeframe. His patents also introduce methods to increase the speed at which computers can answer these queries. Additionally, he employs bitmap filtering techniques to eliminate unnecessary sequences of events during the querying process. This approach allows for more efficient data handling across multiple data partitions, each covering different time periods.
Career Highlights
Mikhal Arkhangorodsky is currently associated with Shopify Inc., a leading e-commerce platform. His role at Shopify allows him to apply his innovative ideas in a practical setting, contributing to the company's technological advancements.
Collaborations
Arkhangorodsky collaborates with Mohammad Zeeshan Qureshi, working together to push the boundaries of data analysis and querying systems.
Conclusion
Mikhal Arkhangorodsky's contributions to the field of data querying are noteworthy. His patents reflect a deep understanding of data analysis and a commitment to improving the efficiency of information retrieval. His work continues to influence the way data is processed and analyzed in modern technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
