Russell Brooks is a software engineer with 10 years building AI, ML and data infrastructure, currently based in Austin, Texas and working at Setpoint.io. He has led machine learning teams and shipped production-grade systems at Realtor.com and Opcity, where his work on pairing and reinforcement learning algorithms produced measurable business lifts (including a 20% median improvement in agent responsiveness and doubling sales-dialer efficiency). Russell combines hands-on software and cloud engineering—containerized ML environments, AWS-based scalable pipelines, Spark/EMR integration—with rigorous evaluation practices and backtesting frameworks so models are robust in production. Early career experience at Zilliant and NASA shows a mix of applied research, large-scale data engineering, and operational systems thinking. He’s comfortable owning the full ML stack from feature engineering to deployable inference and often optimizes for reproducibility and cost-effective cloud compute.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Computer Science and Computer Engineering, Bachelor of Science (BS), Computer Science and Computer Engineering at University of Kentucky
Contributions:2 reviews, 2 PRs, 14 comments in 4 years 3 months
pythonml-infrastructureclir-packagescience
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