Services
I Test What Your Dev Team Doesn't Have Time To.
Most teams don’t discover LLM failures until users report them. I provide structured evaluation services that identify prompt failures, hallucinations, and RAG pipeline gaps before they reach production — so your team ships with confidence.
My Services
01.
Prompt Validation
Testing prompts for accuracy, consistency, and edge case failures across model versions.
02.
Hallucination Detection
Identifying when your LLM generates confident but incorrect or fabricated outputs.
03.
RAG Pipeline Evaluation
Auditing retrieval-augmented generation systems for relevance, grounding, and failure modes.
04.
LLM Evaluation Frameworks
Custom evaluation pipelines to measure model performance, consistency, and reliability over time.
05.
Functional QA for AI Features
End-to-end testing of AI-powered product features before they reach production.
06.
Test Case Design
Designing comprehensive test cases that cover expected behavior and failure scenarios.
07.
QA Documentation
Writing clear evaluation reports, test plans, and findings your team can act on.
08.
AI Product Reliability
Ongoing monitoring and regression testing to catch model drift and quality degradation.
How I Work With You
01.
LLM Audit
A focused review of your existing prompts, outputs, and evaluation gaps. You get a written findings report with prioritized recommendations.
02.
RAG Evaluation
End-to-end testing of your retrieval pipeline — chunking, retrieval relevance, answer grounding, and failure documentation.
03.
Evaluation Framework Build
I design and document a repeatable LLM test suite tailored to your product, team, and risk tolerance.
04.
Ongoing QA Retainer
Regular structured testing on a contract basis — catch regressions, monitor model updates, and maintain quality over time.