Skip to content
View moza369's full-sized avatar
😀
Happy
😀
Happy

Highlights

  • Pro

Block or report moza369

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
moza369/README.md

Mohamed Zahir

AI Engineering • Generative AI • AI Security
Master's Student in Artificial Intelligence & Emerging Technologies

Blog • LinkedIn • HackerOne • Hack The Box


About

AI Engineering Master's student focused on building practical AI systems with Machine Learning, Deep Learning and Generative AI.

My cybersecurity background drives my interest in AI Security, particularly the security of LLM-based and AI-powered applications.

Focus

  • AI Engineering: Machine Learning, Deep Learning, Computer Vision, NLP
  • Generative AI: LLMs, Transformers, RAG, AI Agents
  • AI Security: LLM Security, Prompt Injection, RAG & Agent Security
  • Engineering: Python, SQL, Git, Docker, Linux, Azure

Projects

  • AI Engineering — Machine Learning, Deep Learning & Generative AI
  • AI Security — LLM and AI application security
  • CIORA — Security reconnaissance automation
  • Security Research — Web/API security and vulnerability research

Writing

I document my technical projects, AI learning and security research on my blog.


Building • Learning • Testing

Pinned Loading

  1. ciora ciora Public

    Ciora is a Bash-based recon automation tool built for bug bounty hunters and pentesters. It downloads the HackerOne program scope (public or private with session cookie), extracts web assets & wild…

    Shell 4

  2. Autonomous-Vehicle-Perception Autonomous-Vehicle-Perception Public

    Integrated autonomous-vehicle perception system combining 9 computer-vision scenarios into a unified Tkinter application. Built with YOLOv8, MediaPipe, OpenCV, and classical computer vision.

    Python 2 3

  3. devsecops-scanner devsecops-scanner Public

    Python