Kirkland, WA, United States of America

Andrew Borthwick


Average Co-Inventor Count = 2.8

ph-index = 4

Forward Citations = 77(Granted Patents)


Company Filing History:


Years Active: 2014-2024

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10 patents (USPTO):

Title: The Innovative Mind of Andrew Borthwick

Introduction

Andrew Borthwick is a notable inventor based in Kirkland, WA (US), with a remarkable portfolio of 10 patents. His work primarily focuses on advancements in machine learning and data processing technologies. Borthwick's innovative contributions have significantly impacted the fields of data transformation and record matching.

Latest Patents

Among his latest patents, one titled "Using specified performance attributes to configure machine learning pipeline stages for an ETL job" explores how performance attributes can be utilized to optimize machine learning transformations in ETL (Extract, Transform, Load) jobs. This patent outlines a method where performance attributes are configured to enhance the efficiency of machine learning pipelines during model training. Another significant patent, "Supervised graph partitioning for record matching," describes a technique for identifying matches between records using supervised machine learning. This method involves partitioning a graph representation of records based on their similarities and evaluating the partitioning to generate confidence values for the matches.

Career Highlights

Borthwick has had a distinguished career, working with prominent companies such as Amazon Technologies, Inc. and Intelius, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to the advancement of technology in his field.

Collaborations

Throughout his career, Andrew Borthwick has collaborated with talented individuals, including Stephen Michael Ash and Timothy Jones. These collaborations have fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Andrew Borthwick's contributions to the fields of machine learning and data processing are noteworthy. His innovative patents and collaborative efforts reflect his commitment to advancing technology and improving data management practices.

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