This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Iqvia Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Charikleia Eleftherochorinou: Innovator in Machine Learning Technology
Introduction
Charikleia Eleftherochorinou is a notable inventor based in London, GB. She has made significant contributions to the field of machine learning through her innovative patent. Her work focuses on enhancing the efficiency of data processing in machine learning pipelines.
Latest Patents
Charikleia holds a patent for a "High-speed scanning parser for scalable collection of statistics and use in preparing data for machine learning." This invention involves a parser that is deployed early in the machine learning pipeline to read raw data and collect useful statistics about the content. The parser operates at high speeds, approaching the disk's absolute throughput while maintaining a small memory footprint. By utilizing this parser, the machine learning pipeline can process a fraction of the total raw data, allowing for the identification of feature importance and the discarding of irrelevant features. This innovation significantly reduces memory usage and expedites the machine learning process.
Career Highlights
Charikleia is currently employed at Iqvia Inc., where she continues to develop her expertise in machine learning technologies. Her work has been instrumental in advancing the capabilities of data processing systems.
Collaborations
Some of her coworkers include Gwyn Rhys Jones and Nicola Lazzarini, who contribute to the collaborative environment at Iqvia Inc. Their combined efforts enhance the innovative projects undertaken by the company.
Conclusion
Charikleia Eleftherochorinou is a pioneering inventor whose work in machine learning technology is shaping the future of data processing. Her contributions are vital to the ongoing evolution of machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
