Diego Wang is a software engineer with nine years of hands-on experience building full-stack and distributed systems, currently based in California and pursuing advanced study at USC (class of 2026). He combines strong foundations in data structures, algorithms, and OOP with practical expertise in Java, C++, Python, Spring ecosystem, and modern data platforms like Kafka, Hadoop, Spark, and MongoDB. At ArtGeekTech he designed a real-time car geolocation tracking system—leveraging WebSockets, Kafka, and Spring Cloud—to deliver high-precision, scalable location services and resilient back-end APIs. Comfortable across Linux, Docker, AWS, and version control workflows, he bridges backend services, message-driven architectures, and responsive frontends. Notably, his profile reflects both deep distributed-systems experience and a full-stack agility that helps turn complex real-time requirements into production-ready solutions.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Penn State University
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