Gyeongmin Kim
Software engineer, applied AI practitioner, technical educator, and author focused on building measurable, production-oriented software systems.
Professional Profile
- Software development experience since 2000 across application software, embedded software, infrastructure consulting, and R&D leadership.
- Currently serving as Deputy General Manager, Development Team 1.
- Appointed Korea Industrial Field Professor in Information and Communications / Information Technology for 2025-2027.
- Registered software copyright holder for T-IDEA on AltCLIP-Based Industrial Anomaly Detection System.
- Current interests include spec-driven development, AI coding agents, retrieval-augmented generation, industrial computer vision, token-efficient systems, cybersecurity, and developer productivity.
Featured Project
Bookmark Manager — A privacy-focused Chrome extension that organizes bookmarks by visit frequency, identifies duplicate and low-use items, supports non-destructive archiving and restoration, and exports standard HTML backups. All analysis stays on the user’s device.
Books
Three books are currently live on Amazon as both Kindle eBooks and paperbacks:
- Spec-Driven AI Development with GitHub Spec Kit and Token Economy: From Vibe Coding to Measured, Testable, Agentic Software Delivery — Kindle eBook · Paperback
- Spec-Driven Development with GitHub Spec Kit and Task Master: A Hands-On Guide to Planning, Decomposing, and Shipping Software with AI Coding Agents — Kindle eBook · Paperback
- Spec-Driven Android Game Development: Building and Shipping Stick Arena with GitHub Spec Kit — Kindle eBook · Paperback
Patent Applications
Three Korean patent applications are currently pending, including:
- Automated Benchmark Evaluation System and Method for a Multi-Stage Retrieval-Augmented Generation Pipeline Based on Korean Public Data
- Process-Tracking-Integrated Vision-Language Cache Adapter Inspection System and Method for Surface Inspection of Chrome-Plated Products Using Limited Defect Data
Research Manuscripts
- A Preservation-Signal-Based, Content-Aware Adaptive Multi-Layer Token Compression Gateway — peer review completed.
- A Vision-Language Cache Adapter Framework for Surface Inspection of Chrome-Plated Nail Clippers with Limited Defect Data — under peer review.
These are manuscript workflow statuses and are not presented here as published journal articles.
Evidence and Source Dashboards
The following account-based source pages were used to verify the publication and application status above. They may require authorized access:
Verified Credentials
✒️ GitHub
📝 Blogs
This section uses native GitHub Markdown only, with no externally hosted badges or images.
- Languages:
Java · PHP · C# · Go · TypeScript
- Frameworks & Libraries:
Spring Framework · Laravel · CodeIgniter · Qt · React · Vue.js · AngularJS · Node.js · Express · GraphQL · Apollo GraphQL · Redux · ReactiveX · Electron
- Web & Build:
Webpack · npm · Apache · Storybook
- Cloud, DevOps & Infrastructure:
Linux · Windows · Docker · Kubernetes · GitHub Actions · Jenkins · AWS · Microsoft Azure · Google Cloud · Fortinet · Let's Encrypt
- Data & Messaging:
Microsoft SQL Server · MySQL · MariaDB · PostgreSQL · MongoDB · SQLite · RabbitMQ
- Development & Collaboration:
Visual Studio Code · Visual Studio · PhpStorm · Git · Subversion · Postman · CodeSandbox · GitBook · Redmine