Hans K
Machine Learning Engineer at Workday
Greater Vancouver Metropolitan Area Canada
Summary
🤩
Rockstar🎓
Top SchoolHans K is a machine learning engineer with 7 years of experience designing and operating large-scale MLOps and LLMOps platforms across FinTech and B2B cloud environments. He has built high-performance infrastructure—an online feature store on ScyllaDB with 50x throughput gains and an inference system serving 1.3M+ daily requests—contributing to $60M in contract revenue and production-grade reliability (99.9%+ uptime). At Toss Bank he streamlined LLM prompt engineering and real-time fraud pipelines processing 200M+ daily events, and at Kakao he managed 2K+ GPU nodes and automated GitOps CI/CD for complex ML lifecycles. Known for simplifying complex business rules into robust automation, he also reduced credit-decision deployment time by 50% and halved research cycle time via an AWS research network. Based in Greater Vancouver, he combines deep systems engineering with product impact and a pragmatic “keep blitz and be simple” philosophy.
7 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science at Darmstadt University of Applied SciencesBachelor's degree Computer Science, Bachelor's degree Computer Science at Kyungpook National University
Github Skills (45)
jupyter9
data-quality9
notebook9
java9
kotlin9
minikube8
python8
machine-learning8
kubeflow8
feature-store8
google-kubernetes-engine8
mlops-workflow8
redis7
cassandra7
data-science7
Programming languages (7)
Github contributions (5)
hhhyunwoo/Algorithm_Study
Apr 2020 - Jun 2022
Contributions:304 pushes, 1 branch in 2 years 2 months
hhhyunwoo/hhhyunwoo.github.io
Nov 2021 - Aug 2022
Contributions:161 commits, 231 pushes, 1 branch in 9 months
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