Dai Bui is a Senior Software Engineer based in California with six years of industry experience and a PhD in EECS from UC Berkeley. He specializes in low-latency, data-intensive applications and distributed systems, currently driving APM Live Search at Datadog. His background includes building Kafka Replicator features at Confluent and architecting a partitioning module at Cadence that doubled performance and handled graphs with billions of nodes. Dai combines deep research training with pragmatic production engineering, having worked on compiler frameworks for multicore stream programs during his internship at Microsoft. He’s comfortable solving hard systems problems end-to-end—from linear-time graph algorithms to low-latency search pipelines—bringing both algorithmic rigor and operational focus.
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