Summary
Mike Mull is a seasoned software engineer and consultant with three decades of experience turning scientific and statistical algorithms into commercial products. He has led engineering teams and built cloud-native platforms across industries—from molecular modeling on supercomputers to production underwriting systems using Python, Rust, Kubernetes, and Azure. As a former CTO and principal engineer, he blends hands-on coding with architecture and data engineering, focusing on secure, production-grade services and predictive models. Mike now runs Ekadanta Labs, taking on bespoke data and software projects while continuing to dive back into the trenches when needed. Based in Poway, CA, he pairs deep domain knowledge in scientific computing with practical SaaS and fintech product delivery.
11 years of coding experience
32 years of employment as a software developer
The University of Arizona