AI Engineer & Multi-Agent Systems Specialist
Building autonomous AI applications, agentic workflows, and high-performance RAG pipelines.
- Agentic AI & Orchestration: Building stateful, cyclic multi-agent graphs using LangGraph & LangChain.
- Retrieval-Augmented Generation (RAG): Designing low-latency vector search & hybrid retrieval architecture.
- Backend Infrastructure: Production-ready APIs with FastAPI, Python, and Node.js.
- LLM Integration: Fine-tuned prompt engineering & multi-modal orchestration with OpenAI & Google Gemini models.
- Languages:
Python,JavaScript,TypeScript,SQL - AI Frameworks:
LangGraph,LangChain,PyTorch,LlamaIndex - Web & Backend:
FastAPI,React.js,Node.js,Express - Databases & Vector DBs:
ChromaDB,Pinecone,PostgreSQL,MongoDB - DevOps & Tools:
Docker,Git,GitHub Actions,Postman
- π Dev.to Article: Building Scalable Multi-Agent Workflows & RAG Pipelines with LangGraph and FastAPI
- π Interactive Portfolio: mithilesh-kumar-ai-engineer.netlify.app
π« Get in Touch: Connect with me on LinkedIn or explore my live projects on my Portfolio Website.