Michael Bommarito
CEO at licens.io
Michigan, United States
Summary
👤
Senior🎓
Top SchoolMichael Bommarito is a seasoned technology entrepreneur and CEO with 13 years of engineering and executive experience building companies, products, and research-driven teams from Michigan. He co-founded and served as CTO of licens.io, melding machine learning, automation, and product strategy to help organizations manage and monetize software and data assets, while also leading venture and advisory activities through Bommarito Consulting and 273 Ventures. Michael combines a deep academic background in mathematics, financial engineering, and political science with hands-on open-source contributions—most notably enhancing scikit-learn’s IsotonicRegression and improving Tomcat deployment tooling—to bridge research and production-grade systems. He has led legal-tech and AI-infused firms (LexPredict) through acquisition, taught complex systems and law students, and serves in executive and board roles that span startups to universities. Known for translating complex probabilistic and legal problems into auditable, automatable workflows, he brings a rare mix of quantitative rigor, product sense, and operational experience.
13 years of coding experience
10 years of employment as a software developer
Ph. D. (ABD leave of absence) Political Science, Ph. D. (ABD leave of absence) Political Science at University of Michigan
English, German
Stackoverflow
489reputation
69kreached
10answers
1question
Github Skills (22)
python10
scikit10
statistics10
machine-learning10
tomcat10
scikit-learn10
fabric10
deployment-automation10
data-analysis10
testing9
devops9
system6
javas6
sed6
grep6
Programming languages (14)
Github contributions (5)
scikit-learn/scikit-learn
May 2014 - Feb 2015
scikit-learn: machine learning in Python
Role in this project:
Data Scientist
Data ScientistContributions:51 commits, 5 PRs, 76 comments in 9 months
Contributions summary:Michael primarily contributed to the `scikit-learn` repository by enhancing the `IsotonicRegression` class. Their work involved adding functionality to handle the "pearson" and "spearman" options within the `increasing` argument, along with corresponding unit tests to ensure these options worked as expected. They refactored code for clarity and also addressed potential issues arising from ties and edge cases when determining the increasing direction via Spearman correlation. Furthermore, the user made changes that improved the out of bounds argument.
machine-learningpythonscikit-learnstatisticsdata-science
fabtools/fabtools
Feb 2013 - Nov 2013
Tools for writing awesome Fabric files
Role in this project:DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:9 commits in 8 months
Contributions summary:Michael primarily contributed to improving the deployment and configuration of Tomcat, a Java application server, by integrating and updating the necessary tooling. They added features for managing Tomcat installations including deployment and updates, with options to overwrite existing configurations. Also, the user made code improvements to enhance the Tomcat configuration and streamline the build process, including modifying the version number.
fabricmcminecraftfabricpythonpython-fabric
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