Shikun Wang is an SDE-II with nine years of experience building Kafka-centered data pipelines and backend services for large-scale consumer platforms. He has driven reliability and operational improvements at Warner Bros. Discovery—introducing schema registry, DLQ logic, and region-wide tokenization—and supported high-traffic launches and on-call incident responses. Previously at Amazon he engineered ad-placement microservices and validation tooling that served cross-product integrations and peak-event traffic. With a Columbia CS master’s and a UCSD undergrad in Math/CS/Econ, he combines strong distributed-systems instincts with practical ML interest and a track record of mentoring engineers and shipping production-ready, data-centric solutions.
9 years of coding experience
3 years of employment as a software developer
University of California, San Diego
Master's degree, Computer Science, Master's degree, Computer Science at Columbia University in the City of New York
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