Summary
Min Kang is a senior solutions architect at MongoDB with a decade of experience driving cloud adoption, smart factory initiatives, and digital transformation across global enterprises. He has a strong industrial IoT and digital twins background from roles at Microsoft and Siemens, and has led Azure strategy and complex deployments that blend cloud, AI, and data engineering. Comfortable at the intersection of manufacturing and software, Min has delivered presales and consulting solutions for automotive and industrial clients, notably at Hyundai AutoEver America and General Motors. He pairs technical depth in databases and app innovation with business-focused MBA training, enabling pragmatic, scalable architectures that accelerate automation and operational insights. Based in Seoul, he brings a pattern of translating legacy industrial processes into cloud-native platforms and generative-AI–driven automation.
10 years of coding experience
8 years of employment as a software developer
Master's degree AI BigData, Master's degree AI BigData at Seoul School of Integrated Sciences & Technologies (aSSIST)
Master's degree MBA, Master's degree MBA at Aalto University
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Daegu University