Chenyuan Zhang is a Senior Software Engineer and tech lead with 10+ years building ML-driven platforms, distributed systems, and high-throughput event-driven architectures for companies like Netflix, Indeed, and WorldQuant. He specializes in scaling inference and recommendation pipelines—designing DAG schedulers, Kubernetes migrations, and smart job packing that expanded capacity and cut latency at production scale. His toolkit spans Golang, Java, Python, Kafka, Flink, Kubernetes, and cloud platforms, and he has led end-to-end CI/CD, monitoring, and automated error-recovery efforts that materially reduced MTTR. Comfortable bridging research and production, he has driven benchmarking and cloud-adoption POCs while maintaining hands-on ownership from design through rollout. Based in Austin, he combines rigorous CMU-trained systems thinking with a knack for squeezing efficiency out of complex ML workflows.
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