王杰 is a seasoned software engineer with 10 years of experience focused on large-scale data storage and processing, currently building distributed systems at Amazon in Beijing. He has deep hands-on experience with Hadoop/Spark stacks and resource management frameworks (YARN, MapReduce, Spark Streaming) from multiple roles at Hulu, where he progressed to Senior Software Engineer. His background includes internships at Microsoft and Face++ applying deep learning to liveness detection, giving him a rare combination of distributed infrastructure and applied ML experience. A top-ranked alumnus (3/300) with a master’s in Computer Science from Beijing University of Posts and Telecommunications, he brings strong academic grounding to production engineering. Colleagues know him for pragmatic problem-solving and a “go for it” mentality reflected in his GitHub ethos. He’s particularly interested in pushing performance and reliability boundaries in big data platforms and resource orchestration.
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