This section tracks exploration, iteration, and what I am actively testing right now.
- Sharingan - Research phase completed; development has started. Current focus: turning recon research into a working AI + Nmap execution pipeline.
- Auto-Patrol FSM - MVP is in testing. Current focus: validating behavior under real monitoring scenarios and improving stability.
- AI/ML: LLM fine-tuning, RAG architectures, model evaluation
- Cybersecurity: Threat detection with ML, red team automation, CVE analysis
- Systems: Linux hardening, Docker workflows, IoT/Robotics + AI integration
This section is proof of delivery: projects that reached a usable milestone.
| Project | Description | Tech Stack | Status |
|---|---|---|---|
| LLM-Noise-Filtering | MVP shipped for security dataset noise filtering and preprocessing | PyTorch, Pandas, Hugging Face | π’ MVP Shipped |
π‘ Follow the commit history for real-time updates.
Mission Telemetry Dashboard
Beyond the technical stack, I am also open to collaboration and feedback.
- Open-source AI security tools
- Red team automation frameworks
- Research on LLM jailbreak detection & defense
- Edge AI for IoT/Robotics security
- Feedback on AI security project architecture
- Opportunities to contribute to cybersecurity OSS
- Mentorship in MLOps for security applications
Python automation Linux hardening Practical AI tooling Cybersecurity fundamentals IT certification strategies
- π§ RAHAL.Mohamed-Yassine@tek-up.de
- π LinkedIn
- π CV
I named my security tool "Sharingan ΰΏ" because AI should see threats before they happen .
If you're working on AI security, red team tools, or open-source DevSecOps projects - let's connect.