Hello, I'm

Backend & Platform Engineer
Eunhwa Park

I build distributed cloud systems, data platform migrations, and AI-assisted engineering tools. At Samsung Electronics, I work on backend infrastructure where correctness, reliability, and operating cost matter.

Get In Touch View GitHub
3+
Years Experience
4.45
University GPA
8+
Merged OSS PRs
AWS
SAP Certified

Experience

Building large-scale distributed systems

Samsung Electronics
Cloud Service Platform Backend Developer
Jun 2023 ~ Present
  • Build and operate Java/Kotlin Spring Boot services for large-scale Samsung cloud platforms.
  • Work on reliability-sensitive backend systems involving data migration, IAM modernization, batch processing, and cloud-native infrastructure.
  • Analyze production-scale logs and data pipelines with Python and PySpark to support performance and operational investigations.
  • Use AWS, EKS, Kubernetes, Docker, Jenkins, and GitHub Actions across backend delivery workflows.

Education

Strong foundation in computer engineering

University of Illinois Urbana-Champaign
Master of Computer Science (MCS)
2026 ~ 2028
Graduate study focused on computer science foundations, systems, and AI-adjacent infrastructure.
Kyungpook National University
Mobile Engineering
2019 ~ 2023
4.45 / 4.5

Selected Projects

Backend, AI infrastructure, and agent workflow tooling

ContextWiki / MCPContentSearch
AI Infrastructure Project
Citation-ready knowledge backend that indexes Notion, Tistory, GitHub, and docs sources, then returns evidence-gated answers through MCP tools.
Repository Demo
Python FastMCP LlamaIndex ChromaDB SQLite Citations
AI News Alerts
Operational Automation
Daily Slack brief for AI infrastructure trends, built around official sources, HN signal, dry-run safety, secret-safe delivery, and tests.
Repository Demo
Python GitHub Actions Slack RSS Pytest
Agent Harness Playbook
Engineering Workflow
Sanitized playbook for AI-assisted delivery: scoped planning, dry-run safety, verification gates, fresh review loops, and PR handoff.
Repository Demo
Agent Workflows Review Gates Dry Runs GitHub
Lanternwood Athenaeum
Agent Workflow Observability
AI-assisted experiment that renders multi-agent workflows as typed event streams with task routing, specialist queues, reports, and local SSE runs.
Repository Demo
TypeScript React Event Modeling SSE Codex CLI
ImageGallery
DevOps Practice Project
React and Flask image app used to practice CI/CD, container packaging, Helm deployment, Kubernetes workflows, and delivery troubleshooting.
Repository Demo
React Flask Docker Kubernetes Helm Jenkins

Open Source Contributions

Apache Zeppelin Contributor
Awarded Grand Prize in the Apache Zeppelin Open Source Contribution Program for upstream code-quality, reliability, and maintainability work.
ZEPPELIN-6306
Prevented a null-pointer failure in StaticRepl with fail-fast JavaCompiler validation.
ZEPPELIN-6299
Refactored StaticRepl for readability, correctness, and modern Java usage.
ZEPPELIN-6264 / 6242
Improved InfluxDB and Neo4j interpreter code paths with safer parsing, defaults, and maintainability-focused cleanup.
Kubernetes/website#52238
Sync Korean version of ingress-minikube.md to English version

Skills & Focus

Production backend systems and AI-adjacent infrastructure

☁️
Backend & Data Systems
Java, Kotlin, Python
Spring Boot, Batch Systems
DynamoDB, Cassandra, MySQL
🖥️
Cloud & Delivery
AWS, EKS, Kubernetes
Docker, Jenkins
GitHub Actions
🤖
AI Engineering Tooling
MCP, Context Search
Agent Workflow Observability
Verification Harnesses

Contact

Let's work together and build something amazing

📧
Email
Send email
💼
LinkedIn
Connect with me
🐱
GitHub
View my code