Summary
Daryl Neubieser is a seasoned software engineer with 11 years building production-grade systems for ML and data infrastructure, currently a Member of Technical Staff at OpenAI. He led multicloud infrastructure at Tecton, launching a Google Cloud private preview, and previously managed the Platform team at SingleStore where he took a managed database (Helios) from MVP to paying customers. His background blends systems-level work—query execution and scheduler design for distributed SQL—with applied ML diagnostics delivered at Apple that reduced repair costs globally. Comfortable across backend, cloud, Kubernetes, and production ML pipelines, he focuses on operationalizing complex models and services at scale. Colleagues describe him as a pragmatic engineer who moves projects from prototype to production while keeping an eye on reliability and customer impact. He holds a CS degree from MIT and brings both hands-on implementation skills and product-minded leadership to platform engineering challenges.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Massachusetts Institute of Technology