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Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

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pstepanovum/README.md

<Greetings, fellow digital voyager/> 👾🔐

🧠 AI Architect | 🛡️ Cybersecurity Specialist | 🐉 Kali Linux Maestro | 🕵️ Ethical Hacker 🤖 Machine Learning Engineer | 🎮 Game Dev Wizard | 🔊 Sound Alchemist

Forging intelligent systems, securing digital realms, and crafting immersive experiences. My code speaks in ones and zeros, but my creations shape the future of tech.

💻 Skills:

  • Artificial Intelligence & Machine Learning
  • Cybersecurity & Penetration Testing
  • Kali Linux & Ethical Hacking
  • Game Development
  • Sound Engineering

🛠️ Tools of the Trade:

  • Neural Networks
  • Metasploit Framework
  • Wireshark
  • Burp Suite
  • Unity3D
  • FL Studio

🌐 Website: pstepanov.work 📧 Contact: contact@pstepanov.work

Remember: In the matrix of code, the one who secures production is the true guardian. Stay curious, stay secure! 🔒🚀

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  1. browser-marl-hideseek browser-marl-hideseek Public

    Multi-agent reinforcement learning framework for training NPCs in browser-based 3D voxel hide-and-seek using PPO and WebSocket communication between Ray RLlib and THREE.js

    JavaScript

  2. fMRI-Spectral-GSP fMRI-Spectral-GSP Public

    Decoding cognitive states from fMRI brain networks using Spectral Graph Signal Processing (GSP) and High-Resolution Graph Fourier Transforms. Analysis of 88 subjects from the HCP S1200 dataset.

    Python

  3. hough-plane-detection hough-plane-detection Public

    Advanced plane detection in 3D point clouds using improved Hough Transform with PCA-based coplanarity validation, density-weighted voting, and Summed-Area Tables for real-time robotic perception.

    Python

  4. ibm-transactions-for-anti-money-laundering-aml ibm-transactions-for-anti-money-laundering-aml Public

    This project, developed for ECE467 / CSC423 – Database Systems, implements a relational database system in SQLite to detect money laundering patterns in financial transaction data. The system adher…

    Python 1