Summary
Brad Martin is a Principal Algorithm Engineer with nine years of experience blending data engineering, cloud architecture, and applied mathematics to build scalable mobile, web, and SaaS systems. He designs high-availability data pipelines and identity-graph traversal tools at scale, having applied graph theory, JVM/Spark, and modern DataOps practices across startups and enterprise teams. His background includes a Ph.D. in Applied Mathematics and research in kernel-based numerical methods, which he leverages to bring novel numerical algorithms into production software. Comfortable both designing cloud infrastructure in AWS and mentoring engineers, he has led migrations (Redshift to Snowflake), built performant big-data workflows, and assessed new technologies for practical value. Based in Denver, he combines rigorous academic training with hands-on experience shipping reliable, data-driven products and occasionally implements GPU-accelerated prototypes from his research.
10 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree Biochemistry, Bachelor’s Degree Biochemistry at University of Michigan
Johns Hopkins University
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Colorado Boulder
Master’s Degree Environmental Science and Engineering, Master’s Degree Environmental Science and Engineering at Clarkson University