🧠 LCKYN Knowledge Base

A personal knowledge vault for a Data / ML / LLM Engineer, organized using the Johnny.Decimal system. Built for Obsidian.

Important

This repository is an Obsidian vault. While the Markdown files are readable on GitHub, the full experience — wiki-links, graph view, dataview queries, and callouts — requires opening in Obsidian.

📂 Structure

Area	Category	Topics
10-19	Intelligence & Modeling	LLM Dev, Machine Learning, Deep Learning / CV
20-29	Engineering & MLOps	Infrastructure, MLOps/LLMOps, Databases, Monitoring
30-39	Strategy & Architecture	System Design, Cost Management
40-49	Data Management	Data Engineering, Data Quality, Feature Engineering
50-59	Knowledge Management	System Guides, Tagging & Taxonomy
60-69	Game Development	Side projects (Godot)
70-79	Development Toolbox	Python Snippets, Algorithms, Shell, Git, Dev Tools
90-99	Archive & Personal	Learning Platforms, Books, Career Tools

Each area follows the XX-XX Category/YY_Subcategory/YY.NN Title.md naming convention.

🔮 Opening in Obsidian

1. Clone the repository:

   git clone https://github.com/LCKYN/LCKYN-KnowledgeBase.git

2. Open Obsidian → Open folder as vault → select the cloned folder.
3. Trust the vault when prompted (to enable community plugins if configured).

The .obsidian/ directory contains workspace settings, themes, and plugin configs.

🏷️ Tagging Conventions

Notes use a nested tag taxonomy:

• #type/ → concept, code, template, benchmark, tool, moc
• #status/ → seed, growing, evergreen
• #context/ → llm, mle, dl, finops, data-engineering, km, dev-tools, devops, python, mlops

📝 Note Anatomy

Every note includes:

• YAML frontmatter with id and tags
• Wiki-links ([[Note Name]]) for internal navigation
• Obsidian callouts for tips, warnings, and info blocks
• Related Concepts section at the bottom with annotated links

📄 License

MIT