I will evaluate, test, and optimize your ai models and llm outputs
AI Engineer and LLM Evaluation Specialist, RAG and FineTuning Expert
About this Gig
Is your AI model suffering from hallucinations or unreliable outputs?
Generic prompts fail in production. If your LLM outputs are inconsistent, you lose users. I help businesses achieve enterprise-grade reliability through rigorous software testing, data auditing, and advanced prompt engineering.
I test models like GPT-4, Gemini, and DeepSeek, treating your AI applications like premium software pipelines auditing for logic failures and edge cases.
How I Test Your AI:
* USABILITY TESTING: Human-in-the-loop auditing of model behavior against rigid criteria to map response accuracy.
* VULNERABILITY TESTING: Stress-testing prompts to prevent prompt injections, logic loops, and instruction leaks.
* PERFORMANCE & LOAD TESTING: Simulating high-volume token loads to ensure prompts do not degrade under scale.
* SUMMARY REPORTS: Providing data proof, error highlights, and drop-in ready prompt optimizations.
What You Receive:
1. Detailed Summary Report with win-rate analysis and metrics.
2. Annotated Screenshots highlighting where formatting or logic breaks.
3. Optimized Prompt Blueprints engineered for stability.
MESSAGE ME BEFORE ORDERING to discuss your project scope!
Testing application:
Web application
Development technology:
C/C++
•
HTML & CSS
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PHP
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Python
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SQL
Device:
PC
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Android mobile phone
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Android tablet
FAQ
Why is this AI service listed under the Software Testing category?
AI models behave like software applications. I apply traditional Quality Assurance (QA) principles like stress-testing, bug investigation, and usability metrics—directly to LLM outputs. This ensures your prompt logic is stable and production-ready before you launch.
What exactly do I get in the Summary Report?
You will get a detailed breakdown analyzing your AI's response accuracy, latency, and logical consistency. It includes a quantitative win-rate score, highlighted error logs showing exactly where hallucinations occur, and clear data-driven steps to fix the issues.
What does Vulnerability Testing mean for an AI model?
This is "red-teaming" for your prompts. I simulate attacks on your AI system to see if users can bypass your instructions, force the model to leak sensitive system prompts, or generate restricted content. I then rebuild your prompts to patch these exact security holes.
Do you provide the technical source code for fine-tuning?
Yes, but only in the Premium tier. For that package, I deliver clean, documented Python scripts or Google Colab notebooks used to process your custom datasets and execute the fine-tuning pipeline (via OpenAI or DeepSeek APIs), making it easy for your developers to deploy.

