I will build an llm evaluation framework

Your AI system looks fine in demos. But is it still working 

correctly in production next week?

Most teams find out their AI broke when a user complains. 

I build evaluation infrastructure that catches failures before 

users do automatically.

What I build:

- Retrieval evaluation (are you fetching the right content?)

- Faithfulness scoring (is the answer grounded or hallucinated?)

- Regression detection (did your last prompt change break anything?)

- LLM-as-judge pipelines with no ground truth required

- Streamlit dashboard showing quality trends over time

If you are running AI in production without evals, you are 

flying blind. Message me and I will tell you where your 

system is most likely failing.