Matthew Kirk - Chief Operating Officer

Matthew Kirk

Chief Operating Officer

Seattle, Washington, United States

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Summary

👤

Senior

🎓

Top School

Matthew 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

15 years of employment as a software developer

BS Economics, BS Economics at University of Washington

Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of Technology

AAS Arts and Sciences, AAS Arts and Sciences at Olympic College

English, German

Stackoverflow

Stats

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0reached

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Github Skills (24)

python10

apidoc10

data-science10

scikit10

testing10

pandas10

rspec10

machine-learning10

numpy10

linkedin-api10

ruby10

api10

naive-bayes10

scikit-learn10

decision-tree10

Programming languages (8)

C++RustJavaScriptGoHTMLJupyter NotebookRubyPython

Github contributions (5)

thoughtfulml/examples-in-python

May 2015 - Jun 2021

Role in this project:

Data Scientist

Contributions: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

Contributions: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.

linkedin-apiruby-wrapper

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