Summary
Brandon Veber is a Principal Machine Learning Solutions Architect with 11 years of experience building end-to-end ML systems and production-grade data platforms across AWS and GCP. He combines an electrical engineering master's foundation with hands-on software development in Python, Docker, SQL and Tableau to move models from exploration to scalable deployment. At phData he progressed from Senior ML Engineer to Principal architect, advising clients on model validation, unstructured data pipelines, and cloud-native ML workflows. Comfortable with both analytics and engineering, he has a track record of translating research-grade approaches into operational solutions for enterprise customers. Based in the Madison area, he blends rigorous technical training with practical product-minded execution and an appetite for solving messy, real-world data problems.
11 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at University of Minnesota
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Purdue University