George Dittmar
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine learning Engineer looking to build a nicer sky net.
Software Engineer specializing in machine learning and large scale big data systems development. I specialize in back end and API development and I am language agnostic. Detail oriented and customer minded with regards to software development. Have been working in agile scrum environments and prefer to work in quick iterative phases. As well I am a consultant for Data mining / analytics systems development. My machine learning background spans multiple areas such as NLP, Information Retrieval/Extraction, Data Mining, and Computer Vision. I have extensive research experience in NLP, such as classification and tagging, and object detection using biologically inspired models. My goal is to find a position utilizing my skills as a software engineer to help research and develop new systems with applications in machine learning and big data. Specialties Lanuages: Java, Python, Scala Research interests: Data mining, Machine learning (Information Retrieval, NLP and Computer Vision) at scale, Software Engineering Open source contributor: Apache Spark
Portland State University
Master of Science, Computer Science
January 1, 2010 – January 1, 2012
University of Washington
Bachelor of Science, Computer Science and Engineering
January 1, 2006 – January 1, 2010
Cambia Health Solutions
Senior AI Scientist
April 1, 2025 – Present
Portland, OR · Remote
Cambia Health Solutions
Senior Machine learning scientist
May 1, 2022 – April 1, 2025
Portland, OR · Remote
Primer.ai
Senior Machine Learning Engineer
November 1, 2021 – March 1, 2022
Portland, Oregon, United States
Cambia Health Solutions
Data Science Engineer
April 1, 2020 – November 1, 2021
Cambia Health Solutions
Senior Software Engineer - Data Engineering/ AI Engineering
March 1, 2016 – April 1, 2020
Webtrends
Software Engineer
June 1, 2014 – March 1, 2016
Portland, Oregon Area
Thetus Corporation
Software Developer
February 1, 2013 – June 1, 2014
Portland, Oregon Area
Webtrends
Software Development Engineering Intern
June 1, 2012 – December 1, 2012
Portland, Oregon Area
TEK Associates
Software engineering / Data mining consultant
December 1, 2011 – July 1, 2012
Portland, Oregon Area
System Verification Lab. Portland State University
Java Developer
April 1, 2011 – September 1, 2011
Kreatiff Solutions
Web Developer
April 1, 2011 – September 1, 2011
Portland, Oregon Area
University of Washington
Computer Science Mentor
September 1, 2009 – June 1, 2010
Annie Wright School
Help Desk Technician
February 1, 2006 – September 1, 2009
DeepChat
February 1, 2021 – Present
Tech used: Huggingface, PyTorch DeepChat is a project to create a simple to use chatbot framework that you can start chatting with right away or use its core classes to help build your own system. Right now it uses Huggingface as the model backend due to its ease of use and wide range of pretrained models to work with. Future work will allow for more generalized usage with other chatbot models that may or may not be part of the Huggingface ecosystem. It is still very early in development and only supports the DialoGPT model but more will be added very soon as I build out the core functionality.
JIRA Data Migration.
August 1, 2012 – December 1, 2012
Webtrends was switching to JIRA as their new bug tracking system and needed to migrate around 12,000 tickets to JIRA. The process involved writing python scripts to to wrap SOAP and RESTful web-service calls between the new and old system so as to automate the data migration process. The scripts migrated all pertinent ticket information from the old system and the created new tickets in JIRA with the original data, attachments, dates, and comment history as seen in the old system. Further work was done to manually update the JIRA database for any data that would not be easily migrated using SOAP or REST calls. Scripts had to maintain data integrity for both the ticket information and backing databases as well as not interrupt the engineering departments ability to use JIRA while the migration process was happening. Used opensource frameworks such as the JIRA python library, Suds, and Pyodbc to create migration scripts.
Object Detection and Recognition in Natural Settings
September 1, 2011 – November 1, 2012
Thesis project for completion of my Masters in Computer Science. Developed python code to test a computer vision algorithms ability to recognize and detect objects in images taken in natural settings (on the side of the street). This was partially an extension and testing of the GLIMPSE project (https://github.com/mthomure/glimpse-project) to see how well GLIMPSE performed at detection and recognition tasks compared to the StreetScenes vision system from MIT. Project code is still in ongoing development for updates and optimizations.
PubMed Document Classifier
September 1, 2009 – April 1, 2010
Worked with the PRISE research group at University of Washington Tacoma on a series of projects working on Ranked Retrieval of biomedical documents and classification of biomedical documents for protein to protein interactions. The goal of the document classifier was to develop a filter for the larger PRISE system that would rank documents by the likelihood that a PubMed article was discussing protein to protein interactions. Developed code in Java that would perform a Naive Bayes classification using terms in the document as features to test for. A large corpora of terms was first mined out of a data set of biomedical documents and used to extract key terms that were then compared with the documents from PubMed. TF-IDF scores and Naive Bayes probabilities were used as the main scoring function to rank the documents likelihood.
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from chatbot frameworks to JIRA data migration and computer vision, indicates a broad interest and adaptability. Their extensive experience across various roles (Software Engineer, Data Science Engineer, Senior ML Scientist, Senior AI Scientist) within the same company (Cambia Health Solutions) suggests loyalty and growth potential. The focus on healthcare in recent roles aligns with impact-driven environments. However, the target role is 'Big Data Engineer' while recent experience leans heavily into AI/ML, which might require a slight shift in focus or indicate a broader skill set than strictly Big Data engineering.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in AI/ML projects, mentoring other developers, and bringing modern development practices to organizations, suggesting strong operational fit and collaborative soft skills. The project descriptions also indicate a proactive approach to problem-solving and system improvement.