Summary
Aaron Cody is a Founder and Principal AI/ML Platform Architect with 25+ years of production software experience and over a decade focused on AI, Big Data engineering and MLOps. He has designed and delivered large-scale, event-driven data platforms for healthcare and enterprise customers using Kubernetes, Kafka, Spark and cloud-native patterns, and led teams to turn proofs-of-concept into production-grade systems. His background spans blue-chip engineering at Adobe and IBM to high-velocity roles at Uber and stealth medical AI at Miramar Labs, giving him a rare mix of low-level systems, distributed data, and ML-serving expertise. Aaron is comfortable both bootstrapping DataOps practices and presenting architecture to executive and consulting audiences, having interfaced with McKinsey/Accenture and internal architecture boards. He combines a mathematician’s rigor (BSc UCL) with pragmatic engineering: shipping scalable streaming pipelines that handle messy EHR data and dynamically scale processing jobs. Colleagues describe him as a hands-on architect who mentors teams while continuously refining platform-level developer productivity.
10 years of coding experience
23 years of employment as a software developer
University College London