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nevinshine/README.md
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🧬 Research Focus

"Observability is the best Defense."

I am a Independent Researcher in Systems Security, specializing in Runtime Malware Analysis. My work focuses on bridging low-level Kernel tracing with Machine Learning to detect zero-day anomalies.

🔭 Current Investigation:

  • Sentinel Sandbox: Building a custom ptrace-based execution environment to intercept Linux System Calls.
  • MLSecOps: Modeling syscall traces as Time-Series data to detect malicious intent using Isolation Forests.
  • Germany 🇩🇪: Targeting RWTH Aachen for MSc. in Systems Security.



📉 Research Activity


🧪 Technical Lab (Arsenal)

🏗️ Systems & Kernel (The Engine)



🛡️ Security & Ops (The Defense)


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  1. explainable-ai-pneumonia-detection explainable-ai-pneumonia-detection Public

    A PyTorch-based CNN for pneumonia detection in chest X-rays, featuring Grad-CAM for model explainability.

    Python

  2. kyrexo-noha-platform kyrexo-noha-platform Public

    The ultimate development platform | Noha: The intuitive programming language that translates natural language into executable code.

  3. mindscape-bci-research mindscape-bci-research Public

    EEG-based Brain-Computer Interface converting neural signals into cloud triggers. 🏆 Winner: Best Project Award 2025.

  4. sentinel-sandbox sentinel-sandbox Public

    Runtime Malware Analysis Engine using Linux ptrace & Isolation Forests.

    Python