Hi there, I'm Mehmet! ๐ ๐จ๐ญ
ISTQB-Certified QA Automation Engineer | DevOps Learning Specialist | AI-Assisted Developer
I'm a results-driven quality engineer with a deep technical foundation in test automation (Java, Selenium, API testing) who is actively expanding into DevOps, Cloud-Native infrastructure, and AI-assisted development. Currently based in Bern, Switzerland (Work Permit B), I'm actively seeking a 3-month IT internship or junior role to apply and expand my skills in a professional engineering environment.
A production-grade Kubernetes cluster built from scratch with end-to-end automation:
- Infrastructure: 4-node K8s cluster (1 Master, 3 Workers) with Ansible automation
- CI/CD: GitHub Actions pipeline with immutable Docker image tagging (Git SHA)
- Application: Python Flask REST API + PostgreSQL StatefulSet with zero-downtime deployments
- Monitoring: Prometheus metrics + Grafana dashboards
- Security: Kubernetes Secrets, RBAC, Cloudflare Tunnel for secure external access
- 31 Git commits demonstrating iterative learning and problem-solving
- ๐ Repo: github.com/MehmetMagden/infinity-pipeline
A fully offline, privacy-first AI system running on consumer hardware:
- Engineered a dual-layer architecture: FastAPI backend + Flutter frontend
- Implemented RAG pipeline with ChromaDB, processing 100k+ text chunks from 83 PDFs
- QLoRA fine-tuning of Qwen2.5-7B (20M parameters optimized in ~2.5h on RTX 3060)
- OAuth 2.0 authentication + JWT session management
- Zero cloud costs โ all inference runs locally
- ๐ Live: aimaden.com | ๐ Repo: github.com/MehmetMagden/HEAI
A locally hosted email assistant with full privacy:
- Integrated Gmail API with OAuth 2.0 and automatic token refresh
- Llama3 8B inference via Ollama (runs entirely on local machine)
- SQLAlchemy + SQLite for session persistence
- Two-stage confirmation workflow to prevent accidental email sends
- Privacy guarantee: No personal email data leaves your device
- ๐ Repo: github.com/MehmetMagden/alexAIAsistantv3
Published on Google Play Store, built with zero budget:
- Developed with Flutter/Flame game engine
- Integrated AdMob monetization + Google Play Games Services
- Performance optimized for mid-range Android devices (60 FPS target)
- ๐ฎ Download: Google Play Store | ๐ Repo: github.com/MehmetMagden/stack_tower
| Category | Technologies |
|---|---|
| QA & Testing | Java, Selenium WebDriver, Cucumber BDD, TestNG, JUnit, Rest Assured, Postman, Appium |
| DevOps & Infrastructure | Docker (multi-stage builds), Kubernetes (Deployments, StatefulSets, Services, RBAC), Helm, GitHub Actions, Ansible, Linux |
| Backend & APIs | Python (FastAPI), Flask, SQLAlchemy, asyncio, OAuth 2.0, JWT, REST API design |
| AI & ML | Local LLMs (Ollama, Qwen2.5, Llama3), RAG Systems, ChromaDB, QLoRA fine-tuning, Whisper STT, Coqui XTTS v2 |
| Mobile & Frontend | Flutter/Dart, Riverpod state management, Google Play distribution |
| Tools & Practices | Git/GitHub, JIRA, Agile/Scrum, CI/CD pipelines, Infrastructure as Code, DevSecOps |
- 31 Git commits across Infinity-Pipeline (2+ months of iterative development)
- ~2000+ lines of code spanning YAML, Python, and Kubernetes manifests
- 4 production-ready projects (1 cloud-native, 3 AI/ML applications)
- 1 published app on Google Play Store (Stack Tower)
- ISTQB-Certified (Foundation Level, July 2022)
- B1 German Certified (Feb 2026) | Currently studying B2
- QA Automation Roles: Test framework design, CI/CD integration, test data management
- DevOps Support: Infrastructure automation, container orchestration, monitoring & observability
- AI/ML Integration: Building production-grade AI systems with privacy-first principles
- Learning Opportunities: Best practices in Swiss engineering teams, professional development, mentorship
I believe modern software engineering isn't just about individual technologiesโit's about systems thinking. Through my projects, I've learned to:
- Automate complex infrastructure (no manual deployments)
- Debug production issues using logs, metrics, and observability
- Build secure systems that respect user privacy
- Learn continuously through small iterations and fail-fast mentality
- Use AI tools strategically (not as a shortcut, but as a productivity multiplier)
This mindset translates into reliable code, reproducible deployments, and teams that ship faster and safer.
- ๐ Portfolio & Projects: aimaden.com
- ๐ผ LinkedIn: linkedin.com/in/mehmetmagden
- ๐ง Email: mehmetmagden.it@gmail.com
- โ๏ธ Phone: +41 76 680 00 53
- ๐ Location: Bern, Switzerland (Work Permit B)
All my projects leverage AI programming assistants (GitHub Copilot, Claude) strategicallyโnot as a replacement for thinking, but as a force multiplier for:
- Rapid prototyping and code scaffolding
- Debugging complex system interactions
- Learning new frameworks faster
If you're curious about how modern developers actually use these tools, my projects serve as a case study. The code quality, architecture decisions, and problem-solving are all mineโthe AI just helps me move faster.
Always eager to learn, contribute, and grow with the right team. Let's build something great together! ๐