Michael Koch is a pragmatic AI-focused CTO and founder with 11 years of experience designing and shipping production-grade, cloud-native ML and analytics systems. He built an AI-native SaaS platform that converts complex Medicare cost-report data into automated insights, architecting everything from multi-agent Python backends and BigQuery data layers to React frontends and GCP deployment pipelines. Comfortable across the full stack, he has delivered LLM agent frameworks, RAG systems, Kubeflow/Vertex pipelines, and custom entity extraction for medical documents, blending quantitative rigor with product-driven engineering. His background in chemical and bioengineering and early research/engineering roles gives him a strong foundation in experimental design and physics-informed feature engineering for time-series and sensor data. Based in Honolulu, he pairs hands-on implementation with strategic product ownership and a playful, code-first sensibility (ask him about regex jokes). He repeatedly turns messy domain data into reliable, auditable ML workflows that scale in regulated environments.
11 years of coding experience
9 years of employment as a software developer
Business Foundations Certificate Business Administration Management and Operations, Business Foundations Certificate Business Administration Management and Operations at Texas McCombs School of Business
Bachelor of Science Chemical Engineering, Bachelor of Science Chemical Engineering at The University of Texas at Austin
Master’s Degree Chemical and Bioengineering, Master’s Degree Chemical and Bioengineering at ETH Zürich
Contributions:3 releases, 6 commits, 7 pushes in 9 months
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