Summary
Brian Mcmahon is a data and AI engineer with eight years of experience building production ML and data platforms across fintech, healthcare, and digital products, currently shaping marketing infrastructure and analytics at Square in Seattle. He combines PySpark/Presto pipeline migrations, model development, and performance-focused engineering—having delivered runtime reductions of 50% and measurable prediction improvements in healthcare claims and anti-piracy efforts. Comfortable moving between research experiments and productionization, he’s implemented tested ML frameworks, recommender prototypes, and scalable concurrent pipelines on Hadoop ecosystems. His background in finance and investment roles earlier in his career gives him a strong analytical and business-first perspective when translating data science into product impact. A perpetual learner and ML enthusiast, he holds advanced training in deep learning and a computer science master’s, and is known for pragmatic choices like replacing costly deep models with faster LightGBM solutions while preserving accuracy.
9 years of coding experience
11 years of employment as a software developer
Nanodegree Deep Reinforcement Learning, Nanodegree Deep Reinforcement Learning at Udacity
Master of Business Administration (MBA) Finance, Master of Business Administration (MBA) Finance at China Europe International Business School (CEIBS)
Master of Business Administration (MBA) Finance, Master of Business Administration (MBA) Finance at London Business School
BS Finance, Accounting, BS Finance, Accounting at USC Marshall School of Business
Master of Science Computer Science, Master of Science Computer Science at Georgia Institute of Technology
Data Science Bootcamp, Data Science Bootcamp at Metis
English, Chinese