Turn repetitive business processes into intelligent, automated workflows.

I design and build custom AI agents that help businesses automate research, process information, connect internal systems, and execute multi-step tasks with minimal manual intervention.

Whether you need an AI assistant for your team, an agent that processes documents, or a workflow that connects several applications, I can help you turn your requirements into a reliable, production-ready solution.

Custom AI agents: Assistants that research, analyze, process data, and execute defined tasks.

Business process automation: Replace repetitive manual work with structured, automated workflows.

RAG applications: Connect AI agents to your documents, databases, or internal knowledge.

API and software integrations: Connect AI systems with CRMs, business applications, and internal tools.

Multi-agent workflows: Coordinate specialized agents to complete more complex processes.

Deployment and testing: Implement logging, error handling, approval checkpoints, and production deployment.

Discovery: Identify the process, desired outcome, and existing tools.

Architecture: Define how the AI agent will operate and what systems it needs to access.

Development: Build the agent, integrations, and workflows.

Testing: Validate behavior, reliability, security, and edge cases.

Deployment: Deliver the working system with documentation and handover.

Python, OpenAI, Anthropic, Langchain, LangGraph, PostgreSQL, pgvector, AWS, Railway, Docker, and APIs.

I have six years of experience delivering AI and data systems across more than 20 client engagements, including work in regulated industries.

I've helped develop enterprise AI agents, private LLM infrastructure, RAG systems, and production business applications.