This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, 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: Pawel Cholewinski: Innovator in Resource Availability Prediction
Introduction
Pawel Cholewinski is an accomplished inventor based in Kirkland, WA (US). He has made significant contributions to the field of technology, particularly in predicting resource availability within cloud networks. His innovative approach combines machine learning with historical data analysis to enhance resource management.
Latest Patents
Pawel holds a patent for "Systems, methods, and apparatuses for predicting availability of a resource." This patent describes techniques for predicting the availability of a resource by obtaining capacity data from a cloud provider network. The method involves generating an approval prediction using a trained machine learning model, which assesses whether a request can be approved based on various parameters. The process also includes evaluating incorrect predictions to improve future accuracy.
Career Highlights
Pawel Cholewinski is currently employed at Amazon Technologies, Inc., where he applies his expertise in resource management and machine learning. His work focuses on developing advanced systems that optimize cloud resource allocation, ensuring efficient service delivery.
Collaborations
Pawel collaborates with talented professionals such as Abhinav Maurya and Kerem Bulbul, contributing to innovative projects that push the boundaries of technology.
Conclusion
Pawel Cholewinski's work in predicting resource availability showcases his innovative spirit and dedication to improving cloud technology. His contributions are paving the way for more efficient resource management in the digital age.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
