I will build custom ai multiagent systems, langgraph workflows, and llm web apps

I designed and built production-ready AI and automation systems using modern LLM technologies, agentic workflows, RAG, and workflow automation.

The work included designing multi-agent AI systems with LangGraph, semantic memory using pgvector, RAG pipelines, LLM-powered content and report generation, automated workflows with n8n, and structured AI outputs with validation and evaluation mechanisms.

Key capabilities delivered:

Multi-agent AI systems with specialized agents and task routing

LangGraph-based agent workflows and state management

RAG pipelines with pgvector and semantic search

LLM integrations with OpenAI, Anthropic, and DeepSeek

AI-powered report and content generation

n8n workflow automation and API-based integrations

Prompt engineering and structured output generation

AI evaluation and quality-control workflows

Knowledge graph integration using Neo4j

Guardrails and deterministic validation around AI-generated results

I focus on building AI systems that are not only intelligent, but also reliable, testable, maintainable, and ready for real-world production use.