Customer-Facing AI & Cloud Engineer | Enterprise Enablement & Automation
- Location: Seoul, Korea
- Email: dohyun@roboco.io
- Blog: roboco.io/posts, moreagile.net
- LinkedIn: @serithemage
- GitHub: @serithemage
Software engineer since 1995, with 30+ years of hands-on development, 13+ years of direct customer engagement since joining Mamezou in 2013, and 14 years working in Japan. Curiosity has kept me building from the early web era through cloud platforms to today's AI agents. Previously an AWS Senior Software Development Engineer and Senior Technical Trainer. As the founder and principal consultant of Roboco.io, a solo consultancy, I personally lead customer engagements spanning AI adoption, technical assessment, implementation guidance, and knowledge transfer.
I combine hands-on engineering with customer education: understanding existing systems, explaining technical tradeoffs, and building tools that make development and operational work easier. My work includes enterprise AI consulting, serverless applications, MCP integrations, and developer automation. I am the author of Hands-On Vibe Coding (Hanbit Media, 2025).
Operate a solo consultancy, directly owning customer communication and technical delivery across AI adoption, engineering guidance, and training.
- Environmental engineering: Conduct existing-system analysis and guide technology knowledge transfer, web reimplementation, and AI integration planning for a wastewater treatment design platform. The engagement focuses on helping the customer understand and take ownership of a vendor-developed system.
- Enterprise collaboration SaaS: Provide AI consulting, with the customer relationship expanding into additional technical advisory work.
- Enterprise software and education: Undertake AI transformation consulting and AI education engagements, adapting guidance to each customer's business and technical context.
- Developer enablement: Deliver hands-on enterprise workshops and develop reusable learning materials, workshop platforms, and open-source examples.
- Engineering and automation: Build serverless AI agents, MCP integrations, document conversion utilities, and test failure analysis tools. Develop multi-LLM workflows for Git-based engineering analysis.
- Led development and optimization of AWS Skill Builder using domain-driven design and serverless architecture.
- Served as Acting Manager of a development team in Korea, coordinating team workflows and customer-focused engineering work.
- Delivered technical training in AWS architecture, security, DevOps, machine learning, and serverless solutions; promoted to Senior Technical Trainer in July 2019.
- Received AWS 2017 APAC Training Person of the Year (awarded January 2018).
- Explained complex cloud concepts through technical instruction and practical learning materials.
- Delivered enterprise cloud migration projects for aviation and financial services customers in Japan.
- Introduced Agile practices and automated CI/CD pipelines to improve development and delivery processes.
- Global Cybernet System - Tokyo (2002.06 - 2012.12): Java Developer, Architect & General Manager; enterprise and embedded applications, data/business modeling, process standardization, and project management.
- DotnetSoft (LemonSoft) - Seoul (2000.02 - 2002.03): Web Developer & Game Producer; websites and online games.
- Career beginnings (1995): Professional software development with Perl CGI and HTML during the emergence of the web.
- Customer enablement: Technical training, enterprise consulting, architecture assessment, stakeholder communication, and knowledge transfer; professional experience in Korea and Japan.
- Languages: Python, TypeScript, Go, Java; Bash scripting and Git-based workflows.
- AI and integrations: MCP server development, multi-LLM orchestration, Claude Code plugins and automation, API-backed developer tools.
- Cloud and operations: AWS Lambda, API Gateway, DynamoDB, ECS/Fargate, CloudWatch, CDK, Step Functions, and SageMaker.
- Development practices: CI/CD, DevOps, domain-driven design, automated code review, and test failure analysis.
- buildcop: Go CLI for identifying the source of failures in large test suites; demonstrates investment in developer troubleshooting tools.
- botmadang-mcp: MCP server connecting AI agents to a Korean social platform; demonstrates tool and service integration.
- Serverless OpenClaw: On-demand AI agent infrastructure using Lambda, API Gateway, and DynamoDB, with web and Telegram interfaces; presented at AWS Unicorn Day 2026.
- hwp2md: Go utility converting Korean HWP documents to Markdown for reusable document workflows.
- updoc: CLI integrating the Upstage Document Parse API for document processing workflows.
Additional projects and open-source contributions
Solar Code ⭐ 13 stars
AI-powered CLI tool built on Upstage's Solar Pro2 model for intelligent codebase interaction. Features native Korean and English support, advanced code analysis, and extensible MCP integration. Enables developers to query, edit, and analyze codebases through natural conversation.
awesome-vibecoding ⭐ 188 stars
Comprehensive curated resource collection for Vibe Coding - the definitive guide for AI-driven development. Includes best practices, tools, learning paths, and community resources.
AI-DLC ⭐ 9
AI-Driven Development Lifecycle (AI-DLC) methodology Korean translation. Comprehensive framework for integrating AI into the software development lifecycle.
aidlc-cc-plugin ⭐ 3
AI-DLC (AI-Driven Development Life Cycle) Claude Code plugin. Adaptive workflow steering rules that integrate AI-DLC methodology directly into AI coding agents. See also aidlc-workflows for the underlying workflow rules.
roboco-cli ⭐ 11
AI-native development scaffolding system for vibe coding with Claude Code. Generates project structures optimized for AI-driven development workflows with pre-configured CLAUDE.md, agents, and best-practice templates.
vibe-ready-cli ⭐ 2
CLI tool that assesses and prepares codebases for Vibe Coding adoption. Analyzes project structure, configuration, and documentation readiness for AI-assisted development.
Ship intent, not code. A practical paradigm for the age of vibe coding — focused on expressing developer intent clearly so AI agents can execute effectively. Explores how intent-driven workflows reshape the human-AI collaboration model.
Official Vibe Coding standard guide establishing best practices, conventions, and recommendations for AI-driven development. Provides comprehensive guidelines for effective human-AI collaboration in software development.
vibemap ⭐ 3
VibeMap — a structured learning roadmap guiding non-developers through the mindset, tools, and practices of Vibe Coding. Actively developed to lower the barrier to entry for those new to AI-assisted development.
A curated list of discounted and free programs for student developers. Comprehensive collection of resources to help students get started with software development.
Vibe Coding-based career preparation kit for CS and Management Information Systems majors targeting semiconductor companies (Samsung DS, SK hynix, NVIDIA). Applies AI-driven learning to domain-specific career readiness.
Complete learning ecosystem with 7 repositories including:
- handson-vibecoding-demo - Interactive TypeScript demonstration project
- ToDoList - Learning project for Vibe Coding fundamentals
- TicTacToe - First Vibe Coding project showcasing AI collaboration
- realworld-vibe-coding - Production-grade application example
- vibe-coding-calc-demo - Calculator demo for hands-on learning
- hands-on-vibecoding-slides - Comprehensive teaching materials
Advanced projects demonstrating enterprise development patterns:
- Realworld-serverless-microservice - Migrating real-world apps to serverless microservices
- Realworld-build-from-prd - Building applications from product requirements documents
- vibe-coding-workshop - Workshop materials for introducing Vibe Coding
- vibe-coding-toolkit ⭐ 2 - Toolkit supporting Vibe Coding workflows
- ttimes-vibecoding-conference ⭐ 19 - Live demo Todo app for Vibe Coding workshops
- vibecoding-demo ⭐ 34 - TypeScript demonstration project for Vibe Coding fundamentals
- handson-vibecoding-demo ⭐ 8 - Interactive hands-on Vibe Coding learning project
- realworld-java21-springboot3 - Modern Java backend API implementation
- conduit-flask - Blog platform with Python/Flask and Couchbase
- windsurf-todo-demo - 30-minute live coding demonstration app
- realworld-front - Frontend for Conduit platform
- s3-experiments ⭐ 8 - What else can S3 do? Exploring S3 as KV Store, Event Store, RDBMS, and more — with benchmarks and honest tradeoffs
- serverless-realworld-monorepo - Monorepo for serverless implementations
- realworld-backend-serverless-microservice - Monolithic to serverless migration
- ghx-cli ⭐ 5 - Enhanced CLI for GitHub Projects automation and workflow management
- claude-skills - Claude Code skills collection for code review, API design, test generation, and Korean documentation
- hwp2md ⭐ 117 - Tool for converting HWP (Hancom Word Processor) documents to Markdown
- botmadang-mcp ⭐ 3 - MCP server for Botmadang, enabling AI agents to interact with Korean social platform
- plugins ⭐ 16 - Claude Code plugin collection - Skills, Commands, Agents, Hooks
- vmux - Agent-Friendly Terminal Extension for VS Code, enabling AI agents to interact with terminal sessions
- buildcop ⭐ 1 - CLI tool to find broken culprit for large test suites
- data-analysis-demo - Stock market analysis with AI workflows
- claude-wiki ⭐ 2 - Agent-friendly codebase wikis generated via Claude Code — no API key required
- serverless-autoresearch ⭐ 21 - Parallel evolution pipeline for Karpathy's autoresearch on SageMaker Spot Training (H100). 10x faster with HUGI pattern
- topology-efficient-deep-learning ⭐ 2 - Experiments validating deep learning efficiency using topology/structural mathematics (TDA, tensor decomposition)
- advisor-strategy-experiment - Measurement harness for the Advisor Strategy (strong model advises, weak model executes). Implements and scores a RealWorld backend across 5 arms (N=5) to compare quality uplift and cost tradeoffs
- semiconductor-design - AI agent research project for Report-Grounded Vibe-Coded AutoResearch in open-source DL accelerator design. 3-layer architecture (L1 Process + L2 Substrate + L3 Content) with a graphify knowledge graph
- korea-ai-foundation-model-verification ⭐ 48 - Verification project for Korean government's AI foundation models from 5 institutions (Upstage, NAVER, SKT, NC, LG)
- KSAT-AI-Benchmark - AI benchmarking project for Korean SAT tests
- qunova-protein-analyzer - Protein structure analysis tool
Serverless OpenClaw ⭐ 191 stars
Run OpenClaw AI agent on-demand on AWS serverless infrastructure with Web UI and Telegram interfaces. Cost-optimized architecture targeting ~$1/month, presented at AWS Unicorn Day 2026.
claude-code-demo ⭐ 4
RealWorld (Conduit) implementation - Medium.com clone with React 19 + Express demonstrating Claude Code integration patterns and AI-driven development workflows.
updoc ⭐ 5
CLI tool for Upstage Document Parse API, enabling efficient document parsing and processing through command-line interface.
Curated list of discounted and free programs, tools, and resources available to student developers.
Python solutions for 2017 Korean College Scholastic Ability Test mathematics problems, demonstrating computational problem-solving approaches.
Unofficial study guide for AWS Certified Solutions Architect - Associate exam. One of the most popular Korean-language AWS certification resources with comprehensive coverage of exam topics and practical insights.
AWS Class Resources ⭐ 75
Repository of AWS training materials and resources accumulated from years of experience as AWS Technical Trainer, covering various AWS services and best practices.
AWS AI Study ⭐ 52
Collection of AWS AI/ML learning resources including Jupyter notebooks, tutorials, and hands-on examples for AWS AI services like SageMaker, Comprehend, and Rekognition.
Production-ready CDK implementation achieving sub-10-second autoscaling response for ECS Fargate services. Features high-resolution CloudWatch metrics, RPS-based scaling policies, and comprehensive operational guides. Addresses critical scaling latency issues in containerized workloads.
- Hands-On Vibe Coding - Hanbit Media, 2025
- 14 AWS Architecture Patterns You Can Use Right Away - Hanbit Media, 2020 (Korean translation)
- Practical AWS Workbook - Hanbit Media, 2017 (Korean translation)
- I am a Programmer Vol.2 - Hanbit Media, 2017
- I am a Programmer Vol.1 - Hanbit Media, 2016
- InfoQ QCon Tokyo Committee (2014.12 - 2016.4)
- Producer/Host: I am a Programmer Podcast (2015.3 - 2017.9)
- AWS Korea User Group leader (2016.9 - present)
- Yonsei University, B.S. Mathematics and Computer Science
