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light-hat/README.md

Hi there

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I'm Alexey Pirogov, a final-year student at Penza State University, majoring in Information Security of Systems and Technologies. As a Python Backend Developer and DevOps Engineer, I'm passionate about building secure and scalable backend systems while also exploring the fascinating world of cybersecurity. DevSecOps occupies a special place in my area of interest. Here, I develop my pet projects and explore new technologies.

  • πŸ”­ I’m actively developing my pet projects and building an IAST (Interactive Application Security Testing) system as part of my thesis.
  • 🌱 I’m currently learning the fundamentals of machine learning, focusing on its applications in cybersecurity and automation.
  • πŸ‘― I’m looking to collaborate on research at the intersection of machine learning and cybersecurity.
  • πŸ’¬ Feel free to ask me anything about Linux, Docker, or backend development with Django.
  • ⚑ Fun fact: I write scripts to simplify my life, including one that tracks how much coffee I drink in a day.

πŸ› οΈ My tech stack

Development Tools

Web Development Stack

DevOps Stack

🐾 Pet Projects

smart_ids smart_ids

πŸ›‘οΈ DevOps/Cybersecurity Cases

immunity-iast

πŸ“š University Projects

biometric-calculation tcp-client-server biometric-correlation-calc immunity-iast

πŸ’¬ Contact me

Thanks for visiting my profile! Feel free to reach from if you have collaboration ideas!

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  1. smart_ids smart_ids Public

    πŸ§ πŸ›‘οΈ Web service for detecting network attacks in PCAP using ML.

    Python 3 1

  2. python-devsecops python-devsecops Public archive

    πŸπŸ“Š Jenkins-based DevSecOps pipeline for Python3 web applications (SAST, DAST, SCA).

    Shell 3 1

  3. Immunity-IAST/immunity-python-agent Immunity-IAST/immunity-python-agent Public

    Immunity IAST agent for interactive scanning of web applications in Python.

    Python 2

  4. Immunity-IAST/immunity-iast Immunity-IAST/immunity-iast Public

    An interactive application security testing (IAST) system that detects web application vulnerabilities using ML.

    Python 1