Most AI agent demos break the moment real users touch them. I build the ones that don't.

I design and deploy production-grade AI agents, LLM pipelines, and autonomous systems for startups and businesses that need AI to do real work, not just generate text in a sandbox. From multi-step reasoning agents to tool-calling workflows, I architect systems that handle edge cases, scale under load, and integrate cleanly into your existing stack.

Autonomous AI agents that execute multi-step tasks (data extraction, decision-making, customer interactions)

LLM orchestration pipelines using OpenAI, Anthropic Claude, Google Gemini, or open-source models (LLaMA, Mistral)

Tool-calling and function-calling agents that interact with APIs, databases, and third-party services

Conversational AI systems with memory, context management, and guardrails

AI-powered automation workflows that replace manual processes end-to-end

I start with your business problem, not the technology. We define what the agent needs to accomplish, map the decision tree, and build iteratively with real data. Every system ships with proper error handling, fallback logic, observability, and cost optimization so you're not burning through API credits.

LangChain, LangGraph, CrewAI, OpenAI API, Anthropic API, Google Gemini, Pinecone, Weaviate, Supabase pgvector, Next.js, Node.js, Python, PostgreSQL.

Founders building AI-native products who need an engineer, not a prompt tinkerer

Companies automating complex workflows (support, operations, data processing)

Teams that tried building AI agents internally and hit a wall on reliability or scale