Shengjian Chen is a software engineer based in San Jose with nine years of hands-on experience spanning distributed systems, computer graphics, and cloud DevOps. A recent MS graduate from Carnegie Mellon, he has blended academic research with production internships, contributing to distributed runtimes, MQTT-based edge-cloud pub-sub modules, and on-vehicle monitoring pipelines that cut shutdown processing time by 90%. He has shipped backend systems and automated Kubernetes/EKS deployments using GitHub Actions, and improved operational algorithms in industrial inventory software to reduce wait times by 40%. At WeRide and in university labs he applied hierarchical recording and modularization strategies to reduce I/O duplication and scale edge deployments. Now at TikTok, he continues to bridge research-grade frameworks and production engineering, bringing both algorithmic optimization and pragmatic deployment experience. Colleagues can expect a creative problem-solver who moves seamlessly between low-level protocol work and cloud-native automation.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Engineer, Bachelor of Science - BS Computer Engineer at University of Illinois Urbana-Champaign
Master of Science - MS Electrical & Computer Enginnering, Master of Science - MS Electrical & Computer Enginnering at Carnegie Mellon University
Bachelor of Engineering - BE Computer Engineer, Bachelor of Engineering - BE Computer Engineer at Zhejiang University
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