Matthew Kirk
AI Partner at Augment AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMatthew Kirk is an AI partner and seasoned data science leader with 15 years of experience building production ML systems, data architectures, and revenue-driving products for startups and enterprise clients. He has led cross-functional teams from research through deployment—designing integrated predictive models, automating data pipelines, and cutting costs while improving customer experience. As founder of a machine learning consultancy and former Head of AI/Chief Scientist roles, he combines deep hands-on engineering (Python, Ruby, cloud) with strategic product roadmapping and governance. His open-source contributions include bug fixes and performance work in pandas and practical ML implementations in thoughtfulml, reflecting a pragmatic focus on reliability and model validation. Based in Seattle, he has a strong academic foundation (MS Computer Science, BS in Economics and Applied Math) and a track record of turning messy sensor and clickstream data into actionable business outcomes. Notably, he scaled a computer-vision pipeline that reduced 10,000+ screenshots to 50 clusters—an example of his ability to invent simple, high-impact solutions from complex data.
15 years of coding experience
14 years of employment as a software developer
BS Economics, BS Economics at University of WashingtonMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of TechnologyAAS Arts and Sciences, AAS Arts and Sciences at Olympic College
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
python10
apidoc10
data-science10
testing10
scikit10
pandas10
rspec10
machine-learning10
numpy10
linkedin-api10
ruby10
api10
naive-bayes10
scikit-learn10
decision-tree10
Programming languages (8)
Github contributions (5)
thoughtfulml/examples-in-python
May 2015 - Jun 2021
Role in this project:
Data Scientist
Data ScientistContributions:52 commits, 16 PRs, 39 pushes in 6 years 1 month
Contributions summary:Matthew primarily contributed to the development of machine-learning-related components within the repository. Their work included implementing and updating naive Bayes and k-nearest neighbors classifiers, along with building a decision tree classifier. They also made changes to various test files, indicating a focus on model validation and testing.
hexgnu/linkedin
Apr 2013 - Jan 2020
Ruby wrapper for the LinkedIn API
Role in this project:Back-end Developer
Back-end DeveloperContributions:112 commits, 6 PRs, 7 pushes in 6 years 10 months
Contributions summary:Matthew primarily contributed to bug fixes and enhancements related to the LinkedIn API wrapper. Their work involved addressing issues in API specifications, fixing VCR cassette recordings, and resolving email domain filtering problems. They also focused on improving the library by implementing features such as group functionalities, job API integration, and the ability to work with shares. The user's contributions demonstrate a deep understanding of the LinkedIn API and the Ruby language.
api-clientapiruby-wrapperrubylinkedin
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