Jeongwook Park
Senior Software Engineer at Qualcomm
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJeongwook Park is a Senior Software Engineer with nine years’ experience building large-scale ML and cloud-native infrastructure, currently focused on MLOps at Qualcomm after leading Kubeflow-based AI Platform efforts at NAVER Search. He specializes in Kubernetes-centric platforms, admission webhooks and controllers, and multi-tenant ML serving, with hands-on fluency in Python and Go and operational expertise across Istio, Prometheus, ArgoCD, PyTorch and Triton. At NAVER he shepherded production Kubeflow deployments and spoke about operating multi-tenant AI platforms at DEVIEW, and earlier work spans scalable chatbot CI/CD, resource optimization on GKE, and edge ML deployments using TensorFlow Lite. Known for blending research training from KAIST with pragmatic production engineering, he often bridges ML model needs with robust platform automation and observability.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS 컴퓨터 과학, Master of Science - MS 컴퓨터 과학 at Korea Advanced Institute of Science and Technology
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (91)
notebook10
xgboost10
controller10
python10
kubeflow10
model-management10
standardized10
hpa10
kedro10
sklearn10
huggingface10
mlops10
automl10
gpu10
istio10
Programming languages (9)
Github contributions (5)
henrysecond1/kubeflow
Mar 2021 - Jun 2022
Machine Learning Toolkit for Kubernetes
Contributions:9 pushes, 6 branches in 1 year 3 months
pythondata-sciencemachine-learningmlopskubeflow
henrysecond1/katib
Sep 2021 - May 2022
Repository for hyperparameter tuning
Contributions:11 pushes, 7 branches in 8 months
tuninghyperparameter-tuningmachine-learninghyperparameter
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