Ram K.

I am an Agentic AI Architect and Generative AI Engineer specializing in designing intelligent systems powered by Large Language Models, Retrieval-Augmented Generation (RAG), and multi-agent orchestration frameworks. My work focuses on building production-ready AI systems that can reason, retrieve knowledge, and autonomously perform complex workflows using modern LLM infrastructure. I design Agentic AI architectures where multiple AI agents collaborate to solve business problems such as: • Intelligent knowledge assistants • Autonomous workflow automation • AI copilots for enterprise systems • RAG-based research and analytics tools • Multi-agent decision systems I have deep experience building end-to-end AI pipelines, from knowledge ingestion and vector indexing to multi-agent orchestration and deployment. My expertise includes building AI systems that combine LLM reasoning with structured knowledge sources such as vector databases, knowledge graphs, APIs, and enterprise data platforms. --- Core Expertise Agentic AI Systems Design and implementation of multi-agent architectures capable of planning, reasoning, tool usage, and collaborative problem solving. Retrieval-Augmented Generation (RAG) Building scalable RAG pipelines integrating vector databases, structured knowledge sources, and LLM reasoning layers. LLM Engineering Advanced prompt engineering, model orchestration, evaluation pipelines, and optimization for production AI systems. Enterprise AI Architecture Designing AI platforms that integrate with enterprise data infrastructure, APIs, and cloud services. Technology Stack LLM Frameworks LangGraph LangChain CrewAI OpenAI APIs Anthropic Claude Google Gemini Cloud AI Platforms Amazon Bedrock Azure AI Google Vertex AI Retrieval Systems Vector Databases: Chroma Milvus Weaviate Pinecone Hybrid Retrieval: RAG pipelines Semantic Search Knowledge Graph + RAG architectures Data & ML Stack Python PyTorch HuggingFace Transformers FastAPI Docker Agentic AI Protocols - ACP - A2A - MCP