AI MODEL EVALUATION

Know whether the AI works
before customers find out.

I build practical evaluation frameworks for LLM applications, RAG systems and AI workflows so quality can be measured rather than guessed.

Evaluate your AI system →

What I can build

Model comparison

Compare providers and models against your actual workload.

Quality benchmarks

Create task-specific datasets and scoring criteria.

RAG evaluation

Measure retrieval relevance, grounding and answer faithfulness.

Regression testing

Detect when prompt, model or pipeline changes make quality worse.

Cost & latency testing

Measure trade-offs between quality, response time and spend.

Failure analysis

Identify recurring hallucinations, edge cases and workflow weaknesses.

Bring the problem, data or current prototype.

I can help scope the right architecture and turn it into a production-ready implementation.

Discuss your project →