Engineering Manager, ML Researcher Tooling at bytewax
Portland, Oregon, United States
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Summary
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Rockstar
Dan Herrera is an engineering leader with 17 years of experience building data and ML infrastructure, currently managing ML researcher tooling at Netflix and serving as VP of Engineering at Bytewax. He blends hands-on backend and test automation expertise—contributing benchmarking tools, an execute_directly() function, and Criterion integration to the popular Bytewax Python stream-processing project—with strategic leadership across startups and scale-ups like GitHub and Simple Finance. Based in Portland, he has a strong track record in data engineering and performance-focused systems, shipping measurable improvements in testing and runtime behavior. Known for bridging researcher workflows and production reliability, he brings a pragmatic, metrics-driven approach to making ML experimentation reproducible and performant.
Contributions:39 releases, 447 reviews, 151 commits in 11 months
Contributions summary:Dan primarily contributed to the development of benchmarking tools and features within the bytewax library, adding the `execute_directly()` function and integrating the criterion library for performance testing. They implemented new tests and added input configurations. The user also refactored and restructured Python imports and added a webserver.
Contributions:127 commits, 3 comments in 5 years 10 months
redisdatamapperadapter
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Dan Herrera - Engineering Manager, ML Researcher Tooling at bytewax