Ali Fallahi

Secure software engineering, systems work, and applied AI.

Master's student at the University of Genova working across Windows internals, digital forensics, secure software engineering, and AI research.

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Selected work

Projects with implementation and evidence.

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These repositories make the process inspectable: source code, recorded results, and the limits of each experiment are available in the work itself.

Security research

Secure RAG code generation study

Tests whether task-specific RAG context affects the security of Python code generated by Gemma. The repository preserves prompts, runs, static analysis, and manual review.

  • Python
  • RAG
  • Bandit
  • Semgrep
Open repository

Machine learning

Heart disease ML from scratch

Predicts heart disease from clinical measurements with NumPy implementations of Logistic Regression, Decision Tree, and Random Forest, plus a leakage-aware split, tests, and CI.

  • Python
  • NumPy
  • Testing
  • ML
Open repository

Background

A systems-minded developer with a research habit.

I work on software where implementation details matter. My focus is on understanding how a system behaves, making assumptions explicit, and producing work that someone else can review and reproduce.

Now
M.Sc. studies, University of Genova
Earlier work
Product design and Android development

Contact

Have a problem worth investigating?

For research collaborations, engineering projects, or systems and security conversations, email is the quickest way to reach me.

github.com/FallahiAli