Summary
Ruibin Chen is a Technical Lead and AI Engineer based in Melbourne with over a decade of experience designing cloud-native, high-performance systems and leading cross-functional teams. He has driven end-to-end delivery of mission-critical projects in aviation and healthcare/safety, architecting microservice platforms on AWS/GCP and optimizing distributed data pipelines for scale and reliability. At Servian he combined deep learning (PyTorch) with event-driven microservices to build real-time video detection and alerting systems, while earlier roles sharpened his Java/Spring expertise in complex airline systems. Comfortable both as a hands-on engineer and solution architect, he repeatedly improves performance through targeted refactors (DB indices, data models, Redis locks) and pragmatic CI/CD practices. A Monash Data Science master’s graduate with near-perfect grades, he blends strong academic grounding with practical production experience in ML and cloud engineering.
10 years of coding experience
8 years of employment as a software developer
Bachelor Degree, Electronic Science and Technology, Bachelor Degree, Electronic Science and Technology at Shanghai Jiaotong University
Master Degree, Data Science, GPA 3.9 out of 4; WAM 91 out of 100, Master Degree, Data Science, GPA 3.9 out of 4; WAM 91 out of 100 at Monash University
Japanese, Chinese, Chinese