Robert Irelan is a Member of Technical Staff and seasoned Site Reliability Engineer with 14 years building and operating large-scale cloud and ML infrastructure, currently at OpenAI after leading ML SRE efforts at TikTok. He blends deep systems and software skills (Kubernetes, Go, Python, Java, Linux) with pragmatic automation, observability, and on-call incident leadership to keep high-throughput services resilient. At TikTok he moved a nine-person US team to full operational independence, optimized GPU utilization and redundancy for ML clusters, and led new data center turnups; at Google he automated large-scale migrations and instrumented SLAs for Workspace services handling millions of QPS. He is effective at rapidly learning legacy systems and translating complex multi-stakeholder requirements into practical, testable infrastructure changes. With advanced degrees from Rice and Stanford and a background in computational science, he brings a quantitative mindset to production reliability and performance engineering.
14 years of coding experience
14 years of employment as a software developer
Master of Science (MS) Computational Science, Master of Science (MS) Computational Science at Rice University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Contributions:99 commits, 52 pushes in 10 years 5 months
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