AI Evaluation • Prompt Engineering • Technical QA • AI-Assisted Software Testing
I'm an AI enthusiast and independent technical tester with 1+ year of daily hands-on experience using generative AI for prompt engineering, technical problem-solving, workflow evaluation, and software testing.
My focus is practical AI response evaluation, technical QA, AI-assisted software testing, technical documentation, and CLI workflow testing.
A portfolio of 40 complete, fictional AI response evaluations demonstrating evidence-based review and practical scoring judgment.
- Worked evaluations across eight task categories
- Anchored 1–5 scoring with evidence, strengths, weaknesses, and suggested improvements
- Controlled response comparisons, reusable scorecards, prompts, and templates
A model-agnostic handbook for practical AI response evaluation and quality review.
- Evidence-based scoring with anchored 1–5 rubrics
- Reviewer calibration, disagreement resolution, evaluation bias awareness, and multilingual considerations
- Reusable checklists, decision trees, worked examples, case studies, and templates
A practical, model-agnostic knowledge base for structured prompt design across AI evaluation, technical QA, troubleshooting, software testing, and documentation.
- Prompt design principles and repeatable workflows
- Reusable QA, troubleshooting, and documentation templates
- Fictional, anonymized case studies demonstrating evidence-based analysis
- Prompt engineering for practical testing and troubleshooting tasks
- AI response evaluation for clarity, accuracy, consistency, and usefulness
- AI-assisted software testing and technical troubleshooting
- Bug reproduction, reporting, and workflow validation
- Technical documentation and clear test feedback
- Windows, Android, PowerShell, WSL, GitHub, and CLI workflows
- Evaluating AI-assisted workflows and improving prompt quality
- Building repeatable test cases for technical and CLI-based workflows
- Independently testing DEX.DO on Shellnet, including end-to-end BUY/SELL flows
- Producing clear bug reports and collaborating with developers through public GitHub issue discussions
I enjoy learning new AI tools, comparing their capabilities, and documenting practical workflows that improve productivity, software quality, and AI-assisted problem solving.
- AI evaluation methodologies
- Prompt optimization techniques
- Technical QA workflows
- CLI-based testing
- Git & GitHub best practices
- AI-assisted automation
- Build high-quality AI evaluation projects
- Improve prompt engineering techniques
- Expand my public technical portfolio
- Contribute to AI testing and documentation
- Prompt Engineering
- AI Evaluation
- Technical QA
- Bug Reproduction
- Workflow Testing
- Technical Troubleshooting
- Technical Documentation
- GitHub Collaboration
- CLI Workflows
- 1+ year of daily hands-on use of generative AI tools
- Independent DEX.DO testing on Shellnet, including CLI testing and end-to-end BUY/SELL workflow validation
- Reproduction and reporting of technical issues with clear steps and observations
- Public technical communication with developers through GitHub issue discussions
- ChatGPT
- Claude
- Claude Code
- Codex
- Grok
- Perplexity
- Gemini
- Git
- GitHub
- PowerShell
- WSL
- CLI
- Windows
- Android
- Artificial Intelligence
- AI Evaluation
- Technical QA
- Prompt Engineering
- Workflow Automation
- Blockchain Applications
- Emerging AI Technologies
- Romanian: Native
- English: Intermediate
- German: Intermediate
Feel free to explore my repositories or connect with me here on GitHub.
This portfolio will continue to grow as I document new AI workflows, testing projects, and technical learning experiences.