π QA & AI Testing | Prompt Engineering | AI-Powered Mentoring | NLP Evaluation
"I believe the best learning comes when I'm doing something I enjoy. IT and AI interest me, motivate me and give me purpose - that's why I pursue them and naturally thrive in them."
π― I see IT as an opportunity for meaningful work that fulfills me. I am actively learning in QA and AI testing, exploring ways to connect them with practical applications.
I am currently developing my knowledge in several key areas:
- Preparing for ISTQB CTFL certification
- Deepening experience in AI testing and model evaluation
- Experimenting with advanced prompt engineering techniques
- Gradually expanding my technical foundation (Python, SQL)
π GitHub repo
- A collection of tools for efficient prompt testing and optimization
- Evaluation and refinement of prompts for different AI models
- Experiments with robustness and bias detection
- Testing various AI models and text generation approaches
AI Templates helped me gain a deeper understanding of prompt engineering and AI model evaluation. This naturally led to the further development of the concept in the ELEVATE project.
π GitHub repo
- Personalized educational framework
- Planned implementation in Python
CustomGPT ELEVATE combines experiences from AI Templates with the vision of personalized education through AI.
- Prompt Engineering (Intermediate β example optimization, iterative improvement)
- AI Model Evaluation (bias detection & robustness testing)
- NLP Experiments (basic work with language models)
- Certified Junior Tester (Engeto) - 100 hours
- SDLC, testing, Python basics
- Git, Playwright, practical projects
- Cybersecurity (ITnetwork) - 70 hours
- Cryptography, risk analysis, security
β Short-Term Goals:
- ISTQB certification
- Gradually learning Python and SQL in the context of QA and AI testing
- Exploring NLP models for AI evaluation
β Mid-Term Goals:
- Working with DSPy and AI orchestration
- Transformer models and their fine-tuning
- Deepening knowledge in AI model evaluation
β Long-Term Goals:
- Advanced NLP techniques for AI testing
- Implementation of complex AI systems
- Integration of AI orchestration into mentoring
"This plan is indicative and will adapt based on experience and priorities."
My path is heading in two main directions:
Based on my own learning experience, I know how AI can personalize education and tailor content to each studentβs individual needs.
- Adaptive educational systems
- Personalized mentoring using AI
- Practical application of NLP in education
With experience in the manufacturing environment, I have a unique perspective on how AI can help in industrial applications.
- Process automation and quality control
- Predictive maintenance and data analysis
- Optimization of manufacturing processes
π GitHub: github.com/painter99
π LinkedIn: Pavel MareΕ‘
π¬ Open to collaboration in AI testing, QA, and prompt engineering!
Last updated: Q1 2025
This profile continuously evolves according to my professional growth and current interests.