If you are intereted in me, you can get more detail about me by visiting my 👉 Notion Portfolio 👈 Notion Portfolio(Korean) for detail!

CONTACT INFORMATION

📮 Contacts

📚 Blog

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I’m a software engineer who is curious about every new things. And “Keep Blitz and Be Simple”, “Keep It Simple Stupid” is my motto. I always try to be simple. 😊

🌥 SOFTWARE ENGINEER

Proficient in end-to-end planning and operation of MLOps platform as a Software Engineer

Skilled DevOps Engineer well-versed in Cloud Native technologies

Experienced System Engineer with expertise in operating large-scale HPC clusters, managing over 2000 GPUs

INTERESTS

🏢 WORK EXPERIENCES

Toss Bank

Machine Learning Software Engineer, Machine Learning Platform Team

Oct 2023 ~ Present

• Built Machine Learning Platform, contributing to flexible model development and deployment.
• Stably developed and operated Credit Strategy System and embedded Credit Scoring machine learning models into the strategy system, contributing to Tossbank’s competitive loan credit system
• Engineered and sustained a large-scale Airflow batch system managing 1,000+ workflows, achieving 99.9% system uptime in the critical banking environment.
• Migrated a data ingestion pipeline processing 9M + daily records from Elasticsearch to MongoDB, enhancing data security and compliance. And also migrated a data ingestion pipeline processing 9M + daily records from Elasticsearch to MongoDB, enhancing data security and compliance.
• Managed a feature store on ScyllaDB (Cassandra-compatible, high-performance NoSQL DB)

Kakao Enterprise

Software Engineer, Machine Learning Platform Part

Mar 2022 ~ Aug 2023

• Developed and maintained the Kakao i Machine Learning MLOps platform leveraging Golang and Python. Managed over 2,000 GPUs(NVIDIA A100, V100, T4) across 20+ Kubernetes clusters using Kubespray. Ensured smooth platform operation for approximately 100+ active users, achieving 99.9% system uptime.
• Successfully operated a stable HPC(High-Performance Computing) cluster basede on Infiniband network. Also established and maintained stable infrastructure for high-performance computing projects in public environments.
• Planned and executed the successful relocation of over 300 GPU, CPU devices for a major power facility relocation with 99.99% system uptime.
• Developed MSA components in the backend (API Server), client (CLI, SDK) and infra element development of inference function for MLOps platform. And also built CI/CD system for platform over Kubernetes.

Software System Engineer, Voice System Part

Jul 2020 ~ Feb 2022

• Developed the Cluster Controller component for Kakao i Cloud STT service using Python, ensuring stable operation across multiple clusters.
• Led the planning, development, and operation of Kakao i Speech Transcription Tool using Python Django and React, enabling 8 transcribers to process approximately 3K sentences daily.
• Developed and operated a log management system using Kafka to handle approximately 3 million daily Kakao i voice data from around 100,000 users.
• Developed and operated tools for providing internal voice service demos.

🛠 SKILLS

Language

• Python
• Go
• Javascript

Cloud Native

• Kubernetes
• Docker
• ArgoCD
• Kubeflow

DevOps

• ArgoCD
• Github Action
• Jenkins
• Helm

Keywords

• Microservice architecture
• Linux/System programming
• Machine Learning

🎓 EDUCATION

Kyungpook National University

2015.03 ~ 2021.02.

• Bachelor of Computer Science
• GPA : 4.10 / 4.50

Darmstadt Univ of Applied Sciences, Germany

Spring Semester 2020

• International Studies Program

📜 CERTIFICATIONS

AWS Certified Cloud Practitioner (CLF)

Issued Apr 2023 · Expires Apr 2026

MLOps Engineering on AWSMLOps Engineering on AWS

Issued Apr 2022 · Expires Apr 2025