Skip to content

Engineering Knowledge Base

Welcome to my comprehensive engineering knowledge base. This is where I document everything from software architecture patterns to AI/ML implementations, DevOps practices, and content creation strategies.

Quick Navigation

  • YouTube Content Creation

    Scripts, templates, and strategies for building a technical YouTube channel

    YouTube Hub)

  • Software Engineering

    Architecture patterns, microservices, event-driven systems, and best practices

    Engineering

  • AI & Machine Learning

    RAG systems, Claude Code agents, MCP servers, and automation workflows

    AI/ML

  • DevOps & Infrastructure

    CI/CD, containerization, cloud platforms, and monitoring

    DevOps

Current Projects

EasyChamp Platform

A comprehensive championship management system showcasing: - Microservices architecture with event-driven design - Real-time updates using WebSockets and SSE - MCP (Model Context Protocol) integration for AI assistance - Full-stack implementation with React, .NET Core, and Node.js

Key Components: - ec-standings-api - Championship and standings management - ec-security-api - Authentication and authorization - ec-chat-api - Real-time chat functionality - ec-mcp-server - MCP server for Claude integration - ec-web-ui - React-based user interface - ec-webengine-ui - Admin dashboard

Content Creation Pipeline

Building a personal brand through: - Technical YouTube videos on software architecture and AI - Automated content workflows using N8N and Make - SEO-optimized documentation site with MkDocs Material - Cross-platform content distribution strategy

🏗️ Architecture Patterns

🤖 AI & Automation

📹 YouTube Strategy

Knowledge Organization

This knowledge base follows a structured approach:

00-09: Capture & Planning
10-19: Content Creation
20-29: Technical Deep Dives
30-39: Operations & Infrastructure
40-49: Business & Career
50-59: Educational Content
60-69: Research & Experiments
70-79: Examples & Demos
80-89: Reference Materials
90-99: Templates & Tools

Tools & Technologies

Core Stack

  • Languages: TypeScript, C#/.NET, Python, Go
  • Frontend: React, Next.js, Material-UI
  • Backend: .NET Core, Node.js, FastAPI
  • Databases: PostgreSQL, Redis, MongoDB
  • Message Queues: RabbitMQ, Kafka
  • Cloud: AWS, GCP, Cloudflare
  • AI/ML: Claude, OpenAI, LangChain, Qdrant

Development Tools

  • IDE: VS Code with Claude Code
  • Version Control: Git, GitHub
  • Containerization: Docker, Kubernetes
  • CI/CD: GitHub Actions, ArgoCD
  • Monitoring: Prometheus, Grafana
  • Documentation: MkDocs Material, Obsidian

Learning Path

Recommended Learning Path

1. **Foundation** - Start with engineering fundamentals 2. **Architecture** - Study patterns and system design 3. **Implementation** - Build real projects (like EasyChamp) 4. **AI Integration** - Add intelligence with RAG and agents 5. **Content Creation** - Share knowledge through YouTube 6. **Automation** - Scale with N8N and workflow automation

Recent Updates

  • 2025-09-09: Restructured entire knowledge base with new organization system
  • 2025-09-09: Added comprehensive YouTube content strategy templates
  • 2025-09-09: Created detailed RAG and MCP documentation
  • 2025-09-09: Implemented event-driven and microservices architecture guides

Connect & Contribute

  • GitHub: [Your GitHub Profile]
  • LinkedIn: [Your LinkedIn]
  • YouTube: [Your Channel]
  • Twitter/X: [Your Handle]

About This Knowledge Base

This is a living document that evolves with my learning journey. It serves as both a personal reference and a resource for the community. Built with MkDocs Material and maintained through Obsidian.

Philosophy

"The best way to learn is to build, and the best way to remember is to teach."

Last updated: 2025-09-09 | Version: 2.0.0