Roderick Ford

I architect and build production AI infrastructure systems that solve real-world problems at scale. Over the past three years, I've been deeply focused on designing hybrid cloud/on-prem AI platforms that balance cutting-edge capability with operational cost efficiency—achieving >80% local processing targets through strategic hardware selection and intelligent workload routing. My current work centers on Caelum, a unified AI orchestration platform I've architected from the ground up. It features a semantic knowledge system with 12,481+ vectors using triple-model ensemble embeddings (mxbai, nomic, bge-m3), a multi-LLM orchestration layer with intelligent failover across providers (OpenAI, Anthropic, Ollama local models), and self-service APIs that eliminate recurring engineering overhead. The system demonstrates my approach: build reusable infrastructure that compounds value over time. I'm passionate about emerging AI technologies, particularly agentic AI and MCP (Model Context Protocol) servers. I've implemented production MCP systems for cross-agent knowledge sharing, built workflow execution engines with parallel dependency management, and developed cost-tracking systems that measure infrastructure efficiency in real-time. My projects span the full stack—from GPU capacity planning and database schema intelligence to building CLI tools that data scientists actually want to use. What drives me is the intersection of innovation and pragmatism: researching what's possible with transformer architectures and vector search, then architecting systems that deliver those capabilities reliably in production. Whether it's evaluating the latest embedding models, implementing security controls for AI systems, or designing APIs that abstract complexity, I focus on solutions that scale both technically and organizationally. I believe the most impactful AI infrastructure is invisible to its users—powerful enough to enable breakthroughs, stable enough to trust, and simple enough that teams can self-serve without gatekeepers. Portfolio: https://www.swdatasci.com/ | https://kevinsignal.com | https://xplanified.com | https://sports-intel.ai