I design and build AI infrastructure and agentic systems that connect LLMs with applications, enterprise data, APIs, and external tools.
My focus is on the engineering behind reliable AI products, including agent orchestration, tool execution, retrieval, memory, model integration, and production infrastructure.
Services include:
• Agentic AI architecture and development
• AI agents and multi-agent workflows
• LLM application architecture
• MCP servers and tool integrations
• RAG and knowledge retrieval systems
• Agent memory and context management
• Structured tool calling and workflow orchestration
• LLM routing and intent classification
• AI powered backend APIs
• AWS Bedrock and cloud AI infrastructure
• Vector search and document ingestion pipelines
• AI integration with existing SaaS and enterprise systems
• Blockchain and financial tools for AI agents
• Evaluation, observability, reliability, and production deployment
I work primarily on the infrastructure and systems layer, turning LLM capabilities into reliable applications that can retrieve information, use tools, execute workflows, and interact with existing software.
I can help with anything from an initial agent architecture or proof of concept to productionizing an existing AI application.