Changyong Mun

Frontend Developer · Seongnam, Gyeonggi, South Korea

Frontend engineer building EDR and SaaS security products, focusing on AI-powered investigation experiences, large-scale React migration, real-time data, and frontend platform architecture.

• AI-powered real-time investigation interfaces: agent event streams over SSE, AI Triage and AI Investigation, and recommendation-driven follow-up actions
• Core Vue/Nuxt-to-React migration: shared search and data-list foundations, design-token adoption, and visual/behavioral parity
• Enterprise authentication migration: OTP plus access-token and refresh-token lifecycle across multiple environments
• AI-assisted engineering: Claude Code and Copilot CLI workflows, Orca parallel execution, subagents, and reusable team Skills — completed migration throughput increased by more than 75%
• Figma and Playwright visual-parity workflows with legacy/local application comparison and authentication-session recovery
• Independently deployable modules with Module Federation, delivered via Docker/Podman, Harbor, Jenkins, Helm, and Kubernetes
• Monaco-based security-policy DSL editing experience and Storybook design-system foundations
• Vitest and Playwright test coverage; internal Claude Code playbooks in Confluence and an Obsidian-based internal LLM troubleshooting wiki
• English communication for global collaboration

Frontend Developer · Seoul, South Korea

Built real-time monitoring, control, and platform foundations for solar-energy products.

• Web monitoring and control systems for solar-energy HEMS
• JavaScript-to-TypeScript codebase migration using mapped, string-literal, and template-literal types
• Real-time energy telemetry over SSE with energy-flow visualization and unit conversion
• Nuxt-based SSR for a Virtual Power Plant project
• Permission-aware monitoring and control UI
• Lerna monorepo management with Bitbucket and Jenkins CI/CD
• Deployment across the United States, Europe, and Australia
• Invention and patent filing for automated backup-energy behavior during severe weather

Machine Learning Intern · Seoul, South Korea

Applied machine-learning and data-processing techniques to direct RNA sequencing research using Python, pandas, nanopore data, and sequencing-file pipelines.

• Nanopore sequencing-data processing and indexing
• Probability-distribution analysis with pandas DataFrames
• FASTQ, BAM, and SAM file processing
• Machine-learning research support

Strategy Consultant Intern · Chicago, Illinois, United States

Conducted U.S. and Korean market research, SWOT analysis, customer targeting, and strategic recommendations in an English-speaking environment.

• U.S. and Korean market research
• SWOT analysis and customer targeting
• Strategic recommendations for cross-market entry