I'm passionate about building scalable backend systems and production-ready Agentic AI applications that solve real-world problems.
- π Currently building Agentic AI Systems using LangGraph, LangChain, MCP, RAG, and multi-agent workflows.
- π± Exploring Distributed Systems, Kubernetes, Azure, Cloud Infrastructure, and AI Observability.
- π‘ Passionate about designing reliable backend architectures and intelligent automation.
- β‘ Love solving complex engineering problems with clean, scalable solutions.
- π― Goal: Build production-grade AI infrastructure that combines robust backend engineering with autonomous AI systems.
- π§ Agentic AI Applications
- π Multi-Agent Systems
- π οΈ Tool Calling & MCP
- π Retrieval-Augmented Generation (RAG)
- π AI Observability & Evaluation
- βοΈ Workflow Automation with LangGraph
- π₯οΈ Local LLM Deployments
- βοΈ Cloud-native AI Infrastructure
- REST APIs
- Authentication & Authorization
- Database Design
- Microservices
- Event-Driven Architecture
- Real-Time Systems
- Background Workers & Queues
- Caching Strategies
- API Security
- System Design
- Docker & Kubernetes
- CI/CD Pipelines
- Cloud Deployments
- LangGraph
- LangChain
- Model Context Protocol (MCP)
- Ollama
- OpenAI APIs
- Gemini
- Vector Databases
- RAG Pipelines
- AI Agents
- Multi-Agent Systems
- π€ Autonomous AI Agents
- π§ Multi-Agent Workflows
- π RAG Applications
- βοΈ Backend APIs
- π Developer Tools
- π AI Integrations
- π‘ Real-Time Applications
- βοΈ Cloud Native Systems
- π AI Evaluation Platforms
- π Observability Dashboards
- πΌ LinkedIn:https://www.linkedin.com/in/raghuttama-k-g-806a7432b/
- π§ Email: raghuttama01@gmail.com



