AnomalyOps Copilot
A grounded AI assistant for investigating industrial alerts. Connects source documents and operational data to cited answers and read-only tools.
- Python
- FastAPI
- OpenAI
- pgvector
Computer Science @ USD
I'm Zach, a junior engineer turning data and ideas into working software. This is where I share what I'm building along the way.
I'm studying computer science at USD and building at the intersection of AI, machine learning, and backend engineering.
My current projects explore how to turn industrial sensor data into useful signals, and how grounded AI can help make sense of them. I'm interested in the whole system: from the data pipeline to the API that makes it usable.
From raw data to a useful answer. A few things I'm working on.
A grounded AI assistant for investigating industrial alerts. Connects source documents and operational data to cited answers and read-only tools.
An end-to-end platform that turns simulated sensor data into actionable alerts. Combines time-series ML, a FastAPI backend, and a Streamlit dashboard.
More to come. Follow the work on GitHub (opens in a new tab).