Continuous Learning Journey

Exploring DevSecOps, Cloud Engineering, and Modern Web Development

This project represents my commitment to continuous learning and professional growth. Through hands-on experience with cutting-edge technologies, I've built a comprehensive understanding of modern software development practices.

25+

YEARS LEARNING

∞

GROWTH MINDSET

🔎

ALWAYS CURIOUS

🎬

AI PROJECTS

🔒

SECURED

🎬 Plex Movie Recommendations

AI-Powered Movie Recommendation System

✅ Completed 🌐 Live Demo

🎯

95%

Accuracy

⚡

2.3s

Response Time

🤖

Algorithm

📊

1000+

Movies

Project Overview

Built an intelligent movie recommendation system using machine learning algorithms and modern web technologies. The system learns from user preferences and viewing history to provide increasingly accurate movie suggestions.

🧠

Machine Learning

Advanced recommendation algorithms that adapt to user preferences

⚡

Real-Time Processing

Responsive system that updates recommendations instantly

🎨

Modern UI/UX

Clean, intuitive interface with smooth animations

Live Demo

Experience the AI-powered movie recommendation system in action:

🎬 Explore Plex Recommendations

🏗️ Infrastructure as Code

Real infrastructure managed with Terraform

4,758

Lines of Terraform Code

Infrastructure as Code

129

AWS Resources Managed

All managed by Terraform

AWS Services Integrated

Multi-service architecture

Security Resources

WAF, IAM, Encryption

🚀 Infrastructure Features

🏢 Multi-Account Architecture

AWS Organizations with separate client accounts and cross-account access

🔒 Security & Compliance

WAF protection, IAM roles, encryption, and security monitoring

🗄️ State Management

Remote state storage with S3 backend for centralized state management

📚 Weekly Learning Reflection

💡 Top Lessons Learned This Week

🎯 Focus Areas Next Week

📊 Key Metrics This Week

📦 Separate Content & Infrastructure Versioning

📝 Content Versioning (CalVer)

Uses timestamp-based versioning (YYYYMMDDHHMMSS) for frequent content updates. Each deployment gets a unique version number that reflects when it was created.

Format: v20251120113439
Updated on every content deployment
Stored in VERSION and website/version.json
Enables rollback to specific content versions

🏗️ Infrastructure Versioning (SemVer)

Uses semantic versioning (MAJOR.MINOR.PATCH) for infrastructure changes. Only incremented when infrastructure code or configuration changes.

Format: 1.1.3
MAJOR: Breaking changes
MINOR: New features, backward compatible
PATCH: Bug fixes, backward compatible
Stored alongside content version in same files

💡 Benefits of Dual Versioning

Independent Release Cycles: Content can be updated frequently without triggering infrastructure deployments
Clear Change Tracking: Easy to identify what changed and when across separate repositories
Rollback Capability: Can rollback content or infrastructure independently
Better Coordination: Infrastructure team and content team can work independently with clear version boundaries