Freelance Machine Learning Engineer at Owl Bear Hart Consulting LLC
Atlanta, Georgia, United States
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Summary
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Rockstar
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Top School
Barry Hart is a seasoned Machine Learning Engineer and consultant with 13 years of experience building production-grade ML infrastructure, feature stores, and experimentation pipelines for teams at companies like Mailchimp and as founder of Owl Bear Hart Consulting. He has a strong engineering background spanning Python, Cython, C++, and cloud-native tooling (GCP, Kubernetes, Airflow, BigQuery) and has repeatedly reduced model production time from months to days. Barry led platform efforts that processed billions of records daily and architected high-performance systems—optimizing components with Cython and writing distributed services in C++—to meet real-time constraints. An active open-source contributor, he has improved popular projects such as SQLFluff and fastavro, including performance-critical Cython rewrites and core parsing fixes. He is comfortable mentoring and scaling teams (10+ data scientists) while bridging product and ops through pragmatic monitoring and observability. Based in Atlanta, he combines deep systems-level optimization skills with a consultative mindset that helps data science teams deliver reliable, performant models.
13 years of coding experience
30 years of employment as a software developer
Bachelor's Computer Science, Bachelor's Computer Science at Georgia Institute of Technology
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Role in this project:
Back-end Developer
Contributions:4 releases, 2450 reviews, 468 commits in 3 years 2 months
Contributions summary:Barry primarily contributed to the improvement and extension of the modular SQL linter and auto-formatter, SQLFluff. Their work focused on enhancing the tool's capabilities through bug fixes, particularly those related to Python 2.7 compatibility and handling of edge cases in code formatting. Their commits also extended integration with third-party tools and involved the implementation of new linting rules. The user's work included changes in the core logic of the linter, including modification of its parsing and fix features.
Automatically find diff lines that need test coverage.
Role in this project:
Back-end Developer
Contributions:14 reviews, 8 commits, 3 PRs in 3 years
Contributions summary:Barry made several contributions focused on improving the `diff_cover` tool. These contributions included fixing broken tests, simplifying the plugin API, and adding a plugin system for quality reporters. The user also implemented a feature to allow tools to provide their supported extensions and provided documentation for writing quality checker plugins. In addition, the user added support for report generator plugins and options.
linestestingneedcoveragetest-coverage
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Barry Hart - Freelance Machine Learning Engineer at Owl Bear Hart Consulting LLC