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JeetKarena/README.md

πŸš€ Welcome to My Digital World! πŸš€

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πŸ‘¨β€πŸ’» About Me

const jeetKarena = {
  education: " CS @ Darshan University",
  role: "Software Engineer | Full-Stack Developer | System Designer",
  currentFocus: [
    "Distributed Systems & Microservices Architecture",
    "Home Lab Infrastructure & Kubernetes Orchestration",
    "Competitive Programming with Rust",
    "System Design & Database Optimization"
  ],
  passions: [
    "Building scalable web applications",
    "Exploring distributed computing",
    "Home lab experimentation",
    "Contributing to open source"
  ],
  currentlyLearning: ["Advanced System Design", "ML Engineering", "Cloud-Native Technologies"],
  motto: "Code with purpose, build with passion, scale with precision",
};

πŸ› οΈ Tech Stack & Expertise

🌐 Frontend Development

⚑ Backend & Runtime

πŸ—„οΈ Databases & Caching

☁️ DevOps & Cloud

πŸ“Š Monitoring & Observability

🧠 AI & Machine Learning

πŸ› οΈ Tools & Environment

πŸ—οΈ System Design & Architecture

Areas of Expertise

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#1f2937', 'primaryTextColor': '#ffffff', 'nodeTextColor': '#ffffff', 'edgeLabelBackground':'#333333'}}}%%
graph TB
    A[System Design] --> B[Microservices Architecture]
    A --> C[Database Design & Optimization]
    A --> D[Distributed Systems]
    A --> E[Scalability & Performance]
    
    B --> F[API Gateway]
    B --> G[Service Mesh]
    B --> H[Event-Driven Architecture]
    
    C --> I[SQL Optimization]
    C --> J[NoSQL Design Patterns]
    C --> K[Caching Strategies]
    
    D --> L[Consensus Algorithms]
    D --> M[Load Balancing]
    D --> N[Data Consistency]
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πŸ“ˆ Current Learning Path

  • Advanced Kubernetes Patterns: Operators, Custom Resources, GitOps
  • Observability Engineering: Distributed Tracing, Metrics, Logging
  • ML Engineering: Model Serving, A/B Testing, Feature Stores
  • Cloud Architecture: Multi-cloud strategies, Serverless patterns

🏠 Home Lab Adventures

πŸ–₯️ Infrastructure Setup

  • Multi-cloud Kubernetes clusters (Azure AKS + AWS EKS)
  • VMware vSphere virtualized environment
  • Azure DevOps & AWS CodePipeline CI/CD
  • Monitoring stack (Azure Monitor, CloudWatch, Grafana)
  • Hybrid cloud storage solutions
  • Load balancing with Azure Load Balancer & AWS ALB

πŸ§ͺ Experiments & Projects

  • Cross-cloud distributed database deployment
  • VMware to cloud migration strategies
  • Service mesh implementation across clouds
  • Infrastructure as Code (Terraform, ARM templates)
  • Cost optimization and auto-scaling policies
  • Multi-region disaster recovery setup

πŸ“Š GitHub Analytics & Competitive Programming

πŸ† Competitive Programming Journey

πŸ¦€ Rust Problem Solving

Leveraging Rust's performance for algorithmic challenges

Focus Areas: Dynamic Programming, Graph Algorithms, Number Theory

πŸ“ˆ Progress Tracking

Consistent practice across multiple platforms

Daily Goal: 2-3 problems, various difficulty levels

🀝 Let's Connect & Collaborate

Β  Β  Β  Β 

πŸ’Ό Open for Opportunities

Seeking entry-level software engineering positions

Passionate about full-stack development and distributed systems

🀝 Collaboration Interests

Open source projects, system design discussions

Home lab experiments and infrastructure automation

"Code is like humor. When you have to explain it, it's bad." – Cory House

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