Bailey Herms is a Senior Software Engineer in Los Angeles with 11 years of experience building production ML systems and autonomy software in C++ and Python. At Google they apply ML to content safety and Ads, lead system design and red-teaming efforts for image generation, and co-authored a DeepMind paper published in Nature. Previously they scaled ML pipelines and feature engineering for Google Maps, improving pending-edit reduction and migrating models to TFX, and earlier cut sensor-data analysis time at Cruise from hours to minutes through efficient tooling. Bailey blends research rigor (MS in Computer Science from UC Riverside) with hands-on infrastructure work—creating Beam APIs, C++ servers, and multi-node radar architectures—to move models from prototype to at-scale production. They have a track record of improving developer productivity and safety by building pragmatic tools that uncover edge-case risks before they reach users.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Riverside
Contributions:1 PR, 95 pushes, 2 branches in 1 year 4 months
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