Roman Lutz
Responsible AI Engineer - AI Red Team Tooling at Fairlearn
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRoman Lutz is a Responsible AI Engineer and software leader with 11 years of experience building tooling and UI for trustworthy AI at Microsoft and in open source. He currently leads AI Red Team tooling—authoring projects like PyRIT—to stress-test models and uncover real-world failure modes, and previously helped incubate the Responsible AI Toolbox and Fairlearn integrations for Azure Machine Learning. Roman blends distributed-systems engineering with front-end data-visualization skills, having refactored core UI components and charting for model inspection while also improving documentation and packaging for widely used fairness tooling. Based in Seattle, he pairs an academic background in computer science and mathematics with hands-on research experience in cache-network algorithms. Known for shipping pragmatic, production-ready evaluation frameworks, he focuses on making robustness and fairness accessible to product teams and customers.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Ulm UniversityMaster’s Degree Computer Science, Master’s Degree Computer Science at University of Massachusetts Amherst
Stackoverflow
48reputation
1kreached
6answers
1question
Github Skills (25)
data-visualizations10
python10
typescript10
machine-learning10
data-visualisation10
ui-design10
n10
uid10
f10
front-end-development10
ai10
typescript-types10
data-visualization10
typescripts10
react10
Programming languages (11)
Github contributions (5)
fairlearn/fairlearn
Aug 2019 - Jan 2023
A Python package to assess and improve fairness of machine learning models.
Role in this project:
Technical Writer & DevOps Engineer
Technical Writer & DevOps EngineerContributions:3 releases, 851 reviews, 26 commits in 3 years 5 months
Contributions summary:Roman primarily contributed to documentation and configuration of the project. They made consistent updates to improve documentation across various sections, including user guides and FAQ pages. Additionally, they modified the setup configuration to support newer versions of Python and update the project metadata. Furthermore, they focused on fixing document build warnings and updating the setup file with the latest maintainers and author details.
python-packagefairness-assessmentfairness-mlpythongroup-fairness
microsoft/responsible-ai-toolbox
Feb 2021 - Jan 2023
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Role in this project:Front-end Developer
Front-end DeveloperContributions:1 release, 751 reviews, 172 commits in 1 year 11 months
Contributions summary:Roman primarily focused on UI development within the `microsoft/responsible-ai-toolbox` repository, as evidenced by the modifications to UI components and related style files. They refactored and moved UI elements into a core-ui library, including chart components, tables, and configuration dialogs. They also updated the model overview experience, adding a dataset cohort stats table, and probability distribution charts while working with new metrics. The changes indicate a strong focus on improving the user interface and data visualization aspects of the project.
fairness-mlwidgetpythonmonitordeveloper-tools
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