I design and build production-ready Agentic AI and Generative AI systems that can reason, use tools, retrieve knowledge, execute multi-step workflows, and collaborate with humans when required.
With 4.5+ years of AI engineering experience and 20+ PoCs, MVPs, and projects, I help businesses move from AI concepts to reliable, scalable solutions.
My core expertise includes:
- Agentic AI Systems autonomous and workflow-based agents, planning, reasoning, tool calling, memory, state management, human-in-the-loop approvals, and multi-step task execution.
- LLM Applications OpenAI, Azure OpenAI, Gemini, Llama, and other open-source models, including model selection, routing, fallback, prompt engineering, structured outputs, and production inference.
- RAG & Enterprise Knowledge advanced RAG pipelines, document ingestion, chunking, embeddings, hybrid search, reranking, metadata filtering, permission-aware retrieval, and grounded responses.
- Agent Orchestration LangGraph and workflow-driven architectures for building reliable, stateful, and recoverable AI agents.
- AI Tool Integration connecting agents with APIs, databases, enterprise applications, search systems, internal tools, and external service