Brenton Mcmenamin is a backend engineer with 10 years of experience building data platforms and production ML systems for companies ranging from startups to Spotify. He has led design and implementation of BigQuery/dbt warehouses, built persistence layers in Kotlin/Postgres for multimedia and AI-powered applications, and saved Spotify millions by re-architecting data pipelines. His background in cognitive neuroscience and a PhD in cognitive science underpin a strong statistical and signal-processing toolkit that he applies to data engineering and model production. At Catalist and Enigma he shipped robust ETL and ML pipelines for high-stakes use cases like election and financial compliance data. Now at Blue Rose Research after a staff-engineer stint at Hume AI, he blends research rigor with pragmatic engineering to move prototypes into scalable services. Outside work he experiments with data-science side projects on GitHub, reflecting a continued curiosity for applied analytics.
11 years of coding experience
14 years of employment as a software developer
Bachelorâs Degree Mathematics; Psychology, Bachelorâs Degree Mathematics; Psychology at University of Wisconsin-Madison
Doctor of Philosophy (Ph.D.) Psychology; Cognitive Science, Doctor of Philosophy (Ph.D.) Psychology; Cognitive Science at University of Minnesota
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