Summary
Pilmo Kang is a Prototyping Engineer with 14 years of experience turning concepts into production-ready prototypes across AI/ML, edge computing, and consumer devices. Based in Seoul, he currently builds generative AI solutions, MLOps pipelines, and data stream processing on AWS to solve real customer problems like multimodal search, chatbot and code generation, and constrained optimization for routing and scheduling. His background spans smartphone and smart TV apps, drone-based image processing, healthcare mobile software, physical security, and collaborative robotics—giving him a rare blend of embedded, vision, and cloud expertise. He consistently bridges device-to-cloud integration and focuses on user-centered AI experiences, often accelerating projects by combining rapid prototyping with infrastructure-as-code and DevOps practices. Unusually for a prototyping specialist, he began in atmospheric sciences, which contributes a data-driven, systems-thinking approach to his engineering work.
14 years of coding experience
Bachelor, Atmospheric Sciences and Meteorology, Bachelor, Atmospheric Sciences and Meteorology at Seoul National University
Korean, English