Summary
Chris Keating is a Principal Software Engineer with over 20 years of experience building high-performance distributed systems and large-scale cloud-native architectures from low-latency trading platforms to enterprise LLM inference stacks. Currently at ironwood.ai he engineered an LLM inference stack that boosted throughput and cut compute costs while enabling a production service handling over a million queries per day with 99.99% uptime. Previously at Google he designed graph processing and recommendation systems and helped retail customers adopt real-time, event-sourced platforms, pairing deep ML tooling knowledge with hands-on infrastructure automation. He’s led teams at Nordstrom and Braintree to solve edge routing, mTLS, and payment challenges, authored engineering standards, and accelerated CI/CD to move deployments from days to minutes. Known for combining systems-level C++ and Java expertise with modern Python/ML stacks, he thrives at the intersection of performance optimization and operational reliability. Based in Chicago, he brings a rare blend of fintech, retail, cloud, and AI production experience that consistently turns complex research ideas into resilient, production-ready systems.
15 years of coding experience
16 years of employment as a software developer
University of Missouri