AI • MLOps • AWS SageMaker
MLOps Pipeline for Korean Startup
We designed and implemented an automated MLOps pipeline that connects data labeling, model training and deployment across multiple environments using AWS services like S3, SageMaker, Step Functions and EKS.
This removed a lot of manual coordination, standardised the workflow, and made new model releases far more predictable. As a result, the startup boosted operational efficiency by around 75% and reduced infrastructure costs by about 40%.