Autonomous QA
Autonomous QA Agent
Jira stories become Playwright tests that run, self-heal through Playwright MCP, and report results.
Open live demoAI quality engineering for chatbots, RAG systems and AI agents
How do you know your AI works?
Qaira helps teams build, test and evaluate AI products so they behave reliably for real users. Led by Shaik Khaleelur Rahaman, with 20+ years of quality engineering at Yahoo and SAP Ariba.
20+ yearsin software quality engineering and test automation
~60% lesstest authoring time with AI-enabled automation at SAP Ariba
35–40% fasterrelease cycles, with ~80% less regression effort
5 AI systemsbuilt and shipped, with public code and live demos
What Qaira can do for you
From evaluating the AI you already have to building and shipping new AI products, with testing built in from day one.
LLM and chatbot evaluation
Measure how often your AI is wrong before your users find out. Hallucination, faithfulness, consistency and prompt quality, tracked with DeepEval and RAGAS.
RAG systems
Build or fix retrieval-augmented AI that answers from your own documents, with hybrid search, reranking and grounding you can measure.
Autonomous QA and test automation
AI agents that turn user stories into Playwright tests, run them, and heal broken locators, so your team spends less time writing and fixing scripts.
Chatbots and conversational AI
Text and voice assistants that understand people but follow your business rules, with regression tests that keep multi-turn conversations reliable.
AI apps, prototype to production
Take an AI idea to a deployed, secure application on Azure or Oracle Cloud, with safety rules beside the model where it matters.
AI quality strategy and training
Release gates, quality thresholds and clear ownership for AI, plus hands-on workshops that move QA teams into AI evaluation.
How we’ll work together
A simple path from first conversation to a system you can trust, with something concrete at every step.
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1
Discovery call
We talk about what you’re building, who uses it, and what worries you most about it.
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2
Assessment
I review your AI system and test it against real cases, then share what’s working, what’s risky, and a clear plan.
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3
Build and evaluate
I build the evaluations, automation or AI features, measuring quality as we go rather than at the end.
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4
Hand over and support
Your team gets the code, the quality gates in CI, and the know-how to keep it running. Ongoing support if you want it.
Built, shipped and open to inspect
See all projectsConversational AI
Conversational AI Sales Platform
A text and voice assistant that books site visits, kept reliable by 118 passing regression tests.
View code on GitHubRAG
AI Test Case Generation with RAG
Test cases generated from requirements, grounded in past tests through hybrid search and reranking.
Open live demoDomains I’ve built AI for:
Healthcare triage, real estate sales, travel operations, enterprise procurement, software testing
Common questions
Do you only test AI, or do you also build it?
Both. I build RAG systems, chatbots, AI agents and full AI applications, and I evaluate AI that other teams have built. Building with evaluation from the start is usually cheaper than fixing quality later.
Which tools and models do you work with?
Python and TypeScript; OpenAI, Mistral and Groq (LLaMA 3) models; LangChain and MCP; DeepEval and RAGAS for evaluation; Playwright for automation; MongoDB Atlas Vector Search; and Azure, Oracle Cloud and Docker for deployment. I’m happy to work inside your existing stack.
Do you work with teams outside India?
Yes. I work remotely from Bengaluru, and we agree on overlap hours at the start.
How is a project priced?
After the discovery call I send a written proposal with scope, timeline and cost. Most work is a fixed-scope project; ongoing support can be monthly.
Tell me what you’re shipping
Send a few lines about your AI product. I’ll reply with how I’d approach it and whether Qaira is the right fit.