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nalbam/README.md

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Hi there, I'm nalbam (Jungyoul Yu) πŸ‘‹

GitHub followers GitHub stars Tech Blog Linkedin Facebook YouTube Instagram buy-me-a-coffee

πŸ§‘πŸ»β€πŸ’» About Me

Agent Platform Engineer / AWS AI Hero

I build AI agent platforms that connect conversations, context, coding, and app delivery. My background in backend development, cloud infrastructure, and SRE shapes how I design and operate these services.

  • 🦸🏻 AWS AI Hero (Profile)
  • πŸ₯• Previously DevOps Engineer / SRE @ Karrot (λ‹Ήκ·Όλ§ˆμΌ“) Β· August 2020–September 2026
  • πŸ’» Backend development experience with Java, Spring, Node.js, PHP, and Python

πŸ› οΈ Key Skills

  • Agent platforms: Agent orchestration, MCP integration, OIDC identity, model routing, memory, retrieval, isolated execution, and app delivery
  • Cloud & reliability: AWS, Kubernetes, Terraform, CI/CD, monitoring, and infrastructure automation
  • Backend development: APIs, authentication, and service integration

AWS Kubernetes Terraform Docker Java Spring Node.js Python

πŸš€ Highlight Projects

Six independent services for taking an idea from an agent conversation to a running app. Each service owns its console, settings, data, and permissions.

Service What I build
Studio Agent orchestration, MCP tools, skills, conversations, approvals, and run traces
Models Provider connections, approved models, request routing, and usage and cost tracking
Memory Durable context, scoped sharing, version history, and handoffs across sessions and coding clients
Knowledge Documents, recordings, transcripts, meeting notes, source-linked retrieval, and knowledge graphs
Forge Persistent workspaces, sandboxed coding sessions, GitHub connections, and protected Git approvals
Runway App resources and secrets, application.yaml, builds, deployments, promotion, and rollback

Shared architecture and acceptance scenarios live in agent-platform. Reusable skills and MCP declarations live in agent-plugins. Studio connects to Memory, Knowledge, Forge, and Runway through MCP; Models supplies the central model gateway. App delivery combines Argo Workflows, GitOps, and environment-specific approvals.

Developer tools

  • VibeMon: Real-time status monitor for AI coding agents
  • romty: Terminal workspace whose shell sessions outlive the UI
  • Toast: Shortcut launcher for macOS and Windows
  • AWS Colorful Navbar: Chrome extension for AWS console region color customization
  • OpsPresso: My independent home for Agent Platform, VibeMon, romty, and Toast (GitHub)

πŸ“Š GitHub Stats

nalbam's profile details

nalbam's most commit language nalbam's GitHub stats


πŸ“ Detailed Resume

For more detailed career information, project history, and presentation materials, please visit:

🌐 https://resume.nalbam.com

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  1. deepracer-sim deepracer-sim Public

    Local AWS DeepRacer reward-function simulator with track visualization and autonomous driving in Pygame.

    Python 16 8

  2. deepracer-submit deepracer-submit Public

    Browser automation for submitting models to AWS DeepRacer League races.

    Python 13 9

  3. deepracer-timer deepracer-timer Public

    Forked from aws-deepracer-community/deepracer-timer

    Fork of aws-deepracer-community/deepracer-timer: Lap timing tools for physical AWS DeepRacer races.

    JavaScript

  4. resume resume Public

    Web and Markdown resume of Jungyoul Yu (nalbam), Agent Platform Engineer and AWS AI Hero.