Hi, I'm Preston, building LLM agents for production incidents

Hi, I'm Preston, a data science master's student at UW-Madison in Chicago. I build software, data, and AI systems: web platforms with job queues, data pipelines, and tool-calling LLM agents. I've interned as an SDE at Biotechne and as an LLM engineer at AI Rudder.

My main project is AutoSRE, an LLM-powered agent that takes a production incident from alert to fix: it pulls metrics and logs, diagnoses the root cause, runs remediation, and writes the incident report. I'm still working out how much autonomy it should get before a human signs off. I also built L-AI, a skincare routine app with a product-aware chatbot.

I'd love feedback from anyone who has run on-call rotations or built remediation tooling, especially on where you'd draw the line for an agent acting in production.