dhruv = {
    "location"      : "Pune, India 🇮🇳",
    "current_role"  : "Python Data Engineer @ Barclays",
    "trajectory"    : "Data Engineering → AI Engineering 🚀",
    "email"         : "[email protected]",
    "core_skills"   : ["Agentic AI", "Data Engineering", "AWS Cloud", "System Design"],
    "currently"     : ["Building MCP security middleware", "Designing multi-agent pipelines"],
    "philosophy"    : "Ship fast. Think deeply. Build things that last.",
    "debug_fuel"    : "chai ☕ + terminal logs 🖥️"
}

I started my journey moving bytes at scale — pipelines, streams, warehouses. Then I got a taste of what happens when those pipelines start feeding intelligent agents, and I never looked back. Today, I'm actively transitioning from Python Data Engineering → AI Engineering, with a focus on:

Agentic AI systems built on Claude & AWS Bedrock MCP (Model Context Protocol) server design & security Multi-agent orchestration pipelines for production environments GenAI infrastructure that's actually secure, scalable, and san

• Databases: MySQL, DynamoDB, RDS
• Big Data & Streaming: Spark, Kafka
• Data Tools: Pandas, Matplotlib, Jupyter
• Monitoring & Analytics: Splunk, ITRS
• Infrastructure: Chef, TeamCity, Docker, ECS, EKS

• AWS Cloud Practitioner ✅ View Credential

• 🥈 2nd Place - GenAI Barclays Hackathon (Regional Pune Level)
  • Developed an innovative Generative AI solution
  • Explore the Project

Formula 1 MCP server that exposes race data, driver stats, and team information for AI-powered
⭐ View Repository

• 🔍 Deepening expertise in System Architecture and Scalable Design Patterns
• 🤖 Exploring Generative AI applications in data engineering
• ☁️ Mastering Advanced AWS Services for enterprise solutions
• 📚 Contributing to open-source data engineering projects

I love connecting with passionate developers and data engineers! Whether you want to collaborate on exciting projects, discuss innovative ideas, or just grab a virtual coffee ☕, I'm always happy to chat.