Nora Holmes is a Sr. Machine Learning Engineer with 14 years of hands-on experience building scalable distributed systems, developer tooling, and data pipelines for enterprise and startup environments. She has a strong track record designing internal platforms that accelerate engineering velocity—most recently leading Kafka developer tooling and platform work that expanded adoption and reduced onboarding time. Nora blends backend, infrastructure, and ML competencies (Python, NodeJS, Docker, Kafka, AWS) with practical product focus, having improved OTA inventory pipelines and ML-driven candidate ranking systems. Comfortable in cross-disciplinary and hardware-adjacent teams, she repeatedly turns legacy stacks into maintainable, high-performance services. Based in Las Vegas, she brings two decades of technology exposure and an operator’s mindset to solve reliability, latency, and observability challenges.
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