Summary
Mac Brennan is a Machine Learning Engineer who blends a physics background with extensive software experience to deliver production-ready ML systems. Over 9 years, he has driven fraud-detection enhancements and NLP capabilities, delivering a ~$20M monthly fraud lift and cutting deployment time by about 50% through reusable utilities and Spark-to-Kubeflow pipelines. At Capital One he led Spark migrations to Kubeflow, completing the project ahead of schedule, and at Reviewbox he built an internal NLP API and data-analysis workflows. He holds a B.S. in Physics from Michigan Tech and Udacity nanodegrees in AI and Deep Learning, reflecting a strong grounding in theory and practice. A former professional cyclist, he brings discipline and a collaborative mindset to fast-moving ML programs in New York, now applying his breadth of experience at Meta.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Physics, 3.56 GPA, Bachelor of Science (B.S.), Physics, 3.56 GPA at Michigan Technological University
Nanodegree Foundations Program, Deep Learning, Nanodegree Foundations Program, Deep Learning at Udacity