I design and deploy production-ready, autonomous multi-agent systems that move beyond basic chatbots to execute complex, end-to-end business operations.
a) Multi-Agent Orchestration: Building state-machine graph networks (using LangGraph and LangChain) utilizing hub-and-spoke or parallel execution paths to split complex business logic among specialized AI personas.
b) Advanced RAG Pipelines: Designing semantic document chunking, indexing, and contextual retrieval systems to ground AI agents in massive institutional policy handbooks or knowledge bases.
c) Deterministic Systems Grounding: Hardening LLM pipelines against math hallucinations by forcing non-deterministic models to route requests through reliable Python automation scripts or custom calculation tools.
d) Low-Code/No-Code Agent Deployment: Rapidly configuring custom automations and building tailored business agents using platforms like n8n, Make, Zapier, CustomGPTs, and Claude Projects.