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AI & Automation

Intelligent Systems

LLMs, Agents & Automation Infrastructure

Designing and building intelligent systems that leverage Large Language Models, custom agent frameworks, and workflow automation to solve complex problems. From RAG pipelines to MCP servers - making AI practical and production-ready.

AI Capabilities

  • LLM Integration OpenAI, Anthropic Claude, custom model deployments
  • Agent Development Custom agents with tool use and reasoning loops
  • RAG Pipelines Vector embeddings, semantic search, context management
  • MCP Servers Model Context Protocol integrations and tooling

Practical Applications

Building AI systems that solve real business problems - not experiments. Focused on production-ready implementations with proper error handling, monitoring, and cost controls.

Experience with prompt engineering, few-shot learning, chain-of-thought reasoning, and structured output generation for reliable AI-powered features.

Technology Stack

APIs & Models

OpenAI GPT-4, Anthropic Claude, embedding models, fine-tuning

Vector Databases

Pinecone, Weaviate, pgvector for semantic search and retrieval

Frameworks

LangChain, custom agent frameworks, tool orchestration

Infrastructure

Serverless functions, queue systems, background processing

Automation Architecture

Designed workflow automation systems that combine human decision-making with AI assistance. Built tools that augment team capabilities rather than replace them.

Implemented background processing, event-driven automation, and intelligent routing systems that scale from hundreds to millions of operations.

Production Considerations

Every AI system needs proper guardrails: rate limiting, cost controls, fallback strategies, and monitoring. Built systems with observability from day one to understand behavior and iterate quickly.

Experience managing prompt versioning, A/B testing AI features, and gradually rolling out model updates to production traffic.

Build AI That Works

Need help integrating LLMs into your product, building custom agents, or automating complex workflows? I specialize in making AI practical, reliable, and production-ready.

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