Raja Ranjiith

Design and develop production-oriented applications and backend systems using Python, Node.js, TypeScript, PostgreSQL, MongoDB, REST APIs, and Docker. Build AI-powered functionality using machine learning, LLMs, RAG, embeddings, and agentic workflows. Create AI backend services and APIs using FastAPI, and develop ML solutions involving feature engineering, data analysis, recommendation systems, model integration, and evaluation. Implement multi-agent orchestration using LangGraph and CrewAI, including workflow routing, state management, and LLM/tool integration. Apply MLOps practices for packaging, deploying, and maintaining AI/ML services with Docker, Linux, and AWS. Design REST APIs, database schemas, authentication flows, and application integrations, and handle deployment monitoring, debugging, and optimization.