Kehan Wu is a Senior Software Engineer with five years’ experience building high-availability, high-performance CI/CD and distributed systems at companies including Meta and Apple. He specializes in microservices architectures that handle high concurrency using Kafka, Cassandra, Redis and actor-style streaming, and he emphasizes scalability and fault tolerance in production. Kehan brings practical JVM expertise—tuning garbage collection and reasoning about the Java Memory Model—to squeeze latency and throughput gains. Early work includes large-scale Cassandra query optimization and automated Elasticsearch monitoring, demonstrating a knack for turning operational pain points into reliable tooling. Educated in computer science at Wuhan University and NYU, he blends rigorous academic training with hands-on systems engineering. Based in Hefei, he pairs functional-programming influences with pragmatic performance engineering to deliver resilient, data-intensive services.
5 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Wuhan University
Master's degree, Computer Science, Master's degree, Computer Science at New York University
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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