Jongho Woo
ML AI Infra Team Leader at Toss
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJongho 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
Github Skills (27)
spring-boot6
spring6
rest3
websocket3
terraform2
etcd2
viper2
browser2
rendering2
terraform-module2
flask2
grpc2
optimization2
golang2
ddd2
Programming languages (6)
Github contributions (5)
torreswoo/template-SpringBoot
Jan 2018 - Nov 2019
Torres SpringBoot template project
Contributions:45 commits, 21 PRs, 25 pushes in 1 year 10 months
spring-bootspringspringboot
torreswoo/docker-elk-pipeline
May 2020 - Nov 2021
Contributions:103 commits, 87 pushes, 2 branches in 1 year 5 months
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