Most AI integrations are just a chatbot bolted onto an existing product. Agents are different. They take a goal, break it into steps, use tools, and complete work without someone clicking through it manually. The hard part is not the LLM call. It is building a system that fails gracefully, stays auditable, and fits into how your team actually works.

I build production-grade agent systems and automation pipelines for teams that have outgrown manual processes or one-shot AI features. I have shipped an AI-powered loan platform that automated 70% of document processing for 200+ brokers, a data pipeline handling 2M+ daily records, and an AI analytics platform that lets non-technical users query databases in plain English. These are not demos. They run in production with real users on the other end.

My stack for this work is Node.js or Python on the backend, LLM APIs for reasoning layers, vector databases for retrieval, and whatever orchestration layer the project needs. I work with existing codebases and greenfield systems.

Multi-step AI agents that complete tasks end to end, not just respond to prompts

RAG pipelines over your internal documents, databases, or knowledge bases

Automated workflows that replace manual back-office work

LLM-powered data extraction from PDFs, forms, emails, and unstructured sources

Monitoring, logging, and fallback layers so agents fail safely

Fully deployed agent or automation system

Source code on GitHub with clean commit history

Documented API layer so your team can trigger or extend it

Evaluation and testing setup so you can trust what it outputs

Loom walkthrough of the system before handover

3 weeks of post-launch support included

Kick-off call — I map your current manual process and where automation actually helps

Scope doc — written breakdown of what the agent does, what it does not do, and where humans stay in the loop

Build — weekly check-ins, short Loom updates if something changes

Review — you test it against real inputs before it goes anywhere near production

Launch and handover — deployed, documented, and yours