George Dittmar
About George Dittmar
George Dittmar is a Machine Learning Scientist with extensive experience in natural language processing and machine learning engineering. He has worked at various organizations, including Cambia Health Solutions and Webtrends, and has contributed to open source projects like Apache Spark.
Current Role at Cambia Health Solutions
George Dittmar serves as a Machine Learning Scientist at Cambia Health Solutions since 2022. In this role, he focuses on applied natural language processing within the healthcare sector. His responsibilities include developing machine learning models and enhancing data-driven decision-making processes. Dittmar's work aims to improve healthcare outcomes through innovative machine learning applications.
Previous Experience at Cambia Health Solutions
Prior to his current position, Dittmar held multiple roles at Cambia Health Solutions. He worked as a Senior Software Engineer in Data Engineering and AI Engineering from 2016 to 2020, where he built machine learning models to classify document types. He also served as a Data Science Engineer from 2020 to 2021, contributing to various data-driven projects that improved operational efficiency.
Professional Background in Software Engineering
Dittmar has a solid background in software engineering, having worked at Webtrends as a Software Engineer from 2014 to 2016 and as a Software Development Engineering Intern in 2012. He also gained experience at Thetus Corporation as a Software Developer from 2013 to 2014. His roles involved developing software solutions and contributing to various engineering projects.
Education and Academic Credentials
George Dittmar earned a Master of Science in Computer Science from Portland State University, where he studied from 2010 to 2012. He also holds a Bachelor of Science in Computer Science and Engineering from the University of Washington, completed from 2006 to 2010. His academic background provides a strong foundation for his work in machine learning and data science.
Research and Contributions in Machine Learning
Dittmar has extensive research experience in natural language processing, focusing on classification, tagging, and object detection using biologically inspired models. He has conducted research on large language models for question answering applications and contributed to Apache Spark as an open-source contributor. His work emphasizes the application of machine learning techniques in real-world scenarios.