I help startups and product teams evaluate, improve, and productionize LLM-powered applications.

I can design evaluation datasets, build automated test pipelines, measure response quality, and identify issues such as hallucination, inconsistency, unsafe responses, prompt leakage, and poor instruction following.

What I can deliver:

LLM evaluation framework and test dataset

Golden datasets for regression testing

Automated quality and safety evaluation pipeline

Prompt and model comparison

Hallucination and response-consistency analysis

Evaluation metrics and reporting dashboard

Practical recommendations for improving prompts, models, and retrieval

My approach combines Python, structured datasets, model evaluation, prompt engineering, and production-oriented AI workflows. This service is suitable for chatbots, RAG applications, AI copilots, interview platforms, and internal enterprise assistants.

Please contact me before ordering if your application requires custom model fine-tuning, large-scale evaluation, or deployment support.