Summary
Dan Sneddon is an AI Solutions Architect and Principal with over 30 years of hands-on experience designing networked and distributed systems for large-scale cloud, edge, and hybrid deployments. He has driven core OpenStack and Kubernetes networking features at Red Hat/IBM, authored network reference architectures, and automated complex deployments (including IPv6, SR-IOV, and DPDK) used in production by telecom, healthcare, and public-sector customers. At d-Matrix he now applies that deep infrastructure and SRE expertise to accelerate generative AI inference on novel in-memory compute hardware. His background spans leadership roles from Apple and Twitter to Cloudscaling, where he blended SDN, NFV, and automation to ship reliable releases and high-performance trading and e-commerce networks. An active practitioner in open source deployment tooling, he contributed IPv6 and enhanced testing/backup automation to TripleO heat templates, reflecting a long-standing focus on reproducible, production-ready cloud operations. Based in Oakland, he combines low-level network engineering with strategic architecture and risk-aware security practice to solve large, messy infrastructure problems.
12 years of coding experience
24 years of employment as a software developer
Computer Software Engineering, Computer Software Engineering at De Anza College
Computer Software Engineering, Computer Software Engineering at San Francisco State University
Computer Software Engineering, Computer Software Engineering at Foothill College
General Studies, General Studies at Moorpark College
Computer Software Engineering, Computer Software Engineering at Stanford Continuing Studies
Computer Software Engineering, Computer Software Engineering at Santa Monica College
English, spanish (limited)