I’m exploring the intersection of AI systems, cloud infrastructure, and data platforms.

I’m especially fascinated by how the technology we use every day actually works under the hood — and how intelligent systems interact with real-world workflows and infrastructure.

Currently building and experimenting with:

• LLM agent systems & tool orchestration
• LangChain + Azure OpenAI
• RAG and agent runtimes
• Terraform-based Azure infrastructure
• Hub-spoke networking & private cloud architectures

From-scratch agent runtime with:

• manual tool-calling loops
• multi-step reasoning workflows
• LangChain tooling
• Azure OpenAI integration
• Streamlit chatbot experimentation

Modular Terraform architecture implementing:

• secure hub-spoke networking
• private endpoints & DNS
• Azure Firewall
• Databricks
• Azure OpenAI
• Data Factory & Key Vault integration

Python • Terraform • Azure • LangChain • Databricks • OpenAI

• Retrieval-Augmented Generation (RAG)
• LangGraph
• MCP servers & agent ecosystems
• Platform engineering patterns

• LinkedIn: linkedin.com/in/krishnashukla3002
• GitHub: github.com/BrainTeaser1

Building systems, not just scripts.