Summary
Jongho Woo is an ML/AI infrastructure leader based in Seoul with 11 years of experience building production-grade data and ML platforms. He has led MLOps teams at Toss and Yogiyo, architecting feature stores, low-latency serving, distributed training, GPU scheduling, and workflow orchestration across Airflow, Kubeflow, Ray and Kubernetes. Comfortable across cloud, data engineering, and DevOps, he has a strong track record operating large-scale pipelines and monitoring stacks (Prometheus/Grafana, ELK) and designing unified resource management for AI workloads. Jongho’s background spans startups to major products—from ZEPL’s collaborative data platform to Kakao Mobility’s ML-driven dispatch and dynamic pricing systems—giving him practical experience shipping real-time personalization and forecasting services. He blends hands-on engineering with team leadership, emphasizing scalable compute primitives and operational resilience. Colleagues would note his knack for turning complex distributed ML requirements into maintainable, production-ready infrastructure.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree Computer Science Engineering / Electronic Engineering, Bachelor's degree Computer Science Engineering / Electronic Engineering at Kyungbuk National University (KNU)
English, Korean