Stop doing repetitive knowledge work by hand. I build AI agents and automation pipelines that handle it: document processing, data extraction, report generation, scraping plus LLM analysis, or multi-step agent workflows connected to your existing tools.

What you get

A scoped automation for one concrete workflow (we define it together before I start)

LLM-powered pipeline or agent with proper error handling and logging, not a fragile demo

Integrations with your stack (email, Slack, Google Sheets, Notion, CRMs, internal APIs)

Deployed and scheduled (cron, webhook, or event-driven), with a simple dashboard or logs

Handover docs so your team can operate it

Background: AI systems engineer with a security background. I built a multi-agent Security Operations Center and AgentLoop (agent orchestration framework), and ship automation and ML features in my current role.

Typical delivery: 1-2 weeks depending on scope. Includes one revision round and 2 weeks of post-delivery bug fixes.