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formin/README.md

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:

  1. Spec-Driven AI Development with GitHub Spec Kit and Token Economy: From Vibe Coding to Measured, Testable, Agentic Software DeliveryKindle eBook · Paperback
  2. Spec-Driven Development with GitHub Spec Kit and Task Master: A Hands-On Guide to Planning, Decomposing, and Shipping Software with AI Coding AgentsKindle eBook · Paperback
  3. Spec-Driven Android Game Development: Building and Shipping Stick Arena with GitHub Spec KitKindle 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

Technologies & Tools

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

Pinned Loading

  1. multi-model-review multi-model-review Public

    Multi-model code review for Spec-Driven Development. Build with one LLM (Claude / Codex / Gemini / ...), review with another, using portable spec-kit artifacts as the handoff surface.

    7 2