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Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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zney295/README.md 
   ███████╗███╗   ██╗███████╗██╗   ██╗     //  SYSTEMS ARCHITECTURE & FULL-STACK ENGINEERING
   ╚══███╔╝████╗  ██║██╔════╝╚██╗ ██╔╝     //  FOCUS  :: RUST • SIMD • MCP • THREE.JS • .NET
     ███╔╝ ██╔██╗ ██║█████╗   ╚████╔╝      //  BASE   :: HO CHI MINH CITY, VIETNAM (UEH)
    ███╔╝  ██║╚██╗██║██╔══╝    ╚██╔╝       //  STATUS :: BUILDING HIGH-ASSURANCE SOFTWARE
   ███████╗██║ ╚████║███████╗   ██║        //  PORTAL :: [https://psy-zney.github.io](https://psy-zney.github.io)
   ╚══════╝╚═╝  ╚═══╝╚══════╝   ╚═╝        //  ENGINE :: [https://github.com/psy-zney/resc](https://github.com/psy-zney/resc)

⚡ Executive Summary & Engineering Philosophy

👨‍💻 Who I Am

I am an Information Technology Engineer in training at the University of Economics Ho Chi Minh City (UEH) with a deep focus on bridging two worlds that rarely meet:

  • Low-Level Systems & Defensive Engineering: Building memory-safe Rust engines, direct DMA/unbuffered hardware I/O layers, SIMD (AVX2) scanners, and zero-copy binary parsers.
  • Interactive 3D & Full-Stack Web: Designing real-time collaborative applications (WebRTC, WebSockets), spatial Three.js / WebGL interfaces, and scalable backend services (C# / .NET, Node.js, PostgreSQL).

"Whether it is rendering 60FPS shaders on a browser canvas or parsing corrupted NTFS $MFT sectors in a RAM overlay, great engineering is about precision, safety boundaries, and zero wasted cycles."

🎯 Current Technical Focus

name: Le Quang Khanh (Zney)
role: Systems & Full-Stack Engineer
institution: UEH University (HCMC)

active_research:
  - AI Agent Sandboxing via MCP (JSON-RPC)
  - In-Memory Copy-on-Write (CoW) Disk Overlays
  - 3D Web Graphics & Spatial UI (Three.js)
  - Windows System Daemons & Security (C#/Rust)

core_principles:
  - "100% Read-Only Hardware Safety"
  - "Zero-Copy & Token-Efficient Telemetry"
  - "Fuzz-Tested Defensive Parsing"

🛡️ Flagship Systems Spotlight: resc

🛡️ resc — Low-Level Disk Forensics & Data Recovery MCP Engine in Rust

An AI-driven digital forensics sandbox that allows LLMs (Claude, Cursor, Gemini) to diagnose damaged drives, repair partition tables/boot sectors in RAM, and salvage data—without ever writing a single byte to physical hardware.

Key Architectural Highlights:

  • 🧠 Hybrid "Brain & Muscle" Design: Offloads multi-gigabyte raw sector scanning (AVX2 SIMD), Shannon entropy calculation ($0.0 - 8.0\text{ bits/byte}$), and zero-copy struct casting (MBR, GPT, NTFS, FAT32) to Rust, while sending < 5KB JSON anomaly maps to the AI Agent.
  • 🔒 Hardware-Level Write Blocking & RAM Overlay: Physical drives are opened strictly GENERIC_READ with FILE_FLAG_OVERLAPPED + CancelIoEx kernel watchdogs[cite: 2]. AI hex patches are applied to a BTreeMap in-memory Copy-on-Write overlay backed by a persistent Write-Ahead Log (.wal) and verified via native filesystem traversal before extraction[cite: 2].
  • 📑 Forensic Chain-of-Custody: Asynchronous non-blocking extraction with O_NOFOLLOW / FILE_FLAG_OPEN_REPARSE_POINT handle verification (TOCTOU protection), atomic .part clone/mapfile commits, and automated SHA-256 .manifest.json audit generation[cite: 2].

Explore the Architecture & Source Code →

🌟 Featured Engineering Portfolio

🌌 3D Cyberpunk Creator Portfolio

Interactive Spatial Web Experience

  • Custom 3D desktop workspace rendered in real-time with Three.js / WebGL & React 18.
  • Features physics-based mechanical keyboard audio/visual simulation, custom shaders, and smooth camera transitions.
  • Tech: React 18 TypeScript Three.js Tailwind CSS Vite
  • 🔗 Live Experience • GitHub Repo

🎧 BeatSync

Real-Time Collaborative Audio Platform

  • Low-latency synchronized music listening rooms built on WebRTC data/audio channels and WebSockets.
  • Sub-millisecond playback drift compensation and distributed room state synchronization.
  • Tech: TypeScript WebRTC WebSockets Node.js
  • 🔗 GitHub Repo

🔐 Windows Security & Cloud Relay

Proactive System Monitoring Daemon

  • Background Windows Service engineered in C# / .NET and PowerShell for hardware-level telemetry and anti-theft tracking.
  • Evaluates virtualization-based security readiness and streams encrypted heartbeats through a cloud relay.
  • Tech: C# .NET Windows Services PowerShell
  • 🔗 GitHub Repo

🧠 AI Heuristic TSP Solver & LearningEnglish

Algorithmic Optimization & NLP Parsing

  • TSP Solver: Heuristic Hill-Climbing search optimization solving complex routing graphs.
  • LearningEnglish: Automated grammatical tense verification and syntactic structure parser.
  • Tech: Algorithms NLP Full-Stack Web
  • 🔗 TSP Repo • NLP App Repo

🛠️ Technical Arsenal & Ecosystem

Skill Icons


Domain Core Competencies & Production Tooling
⚙️ Systems & Forensics Rust Tokio SIMD MCP Win32
🎨 Frontend & 3D Graphics React Three.js TypeScript Tailwind Flutter
🚀 Backend & Distributed C# Node.js Express WebRTC Firebase
🗄️ Data & Infrastructure PostgreSQL SQL Server MySQL Docker GitHub Actions
🔍 Click to expand: Deep-Dive into My Engineering Workflow & Environments
  • Systems & Virtualization Lab: Experienced in configuring multi-OS virtualization environments (VMware Workstation, WSL 2, Docker Containers, Linux / Pop!_OS) and low-level hardware debugging.
  • Database Architecture & Process Mining: Skilled in complex relational schema design, stored procedures, set operations in SQL Server (SSMS) / PostgreSQL, and transforming raw interaction logs into event pipelines for Celonis Process Mining.
  • AI-Native Engineering: Designing structured .agents/skills/ playbooks, decision trees, and deterministic tool schemas to turn LLMs into reliable systems co-pilots[cite: 2].

📊 GitHub Telemetry & Contribution Analytics

GitHub Stats GitHub Streak

Top Languages

Activity Graph

---

📫 Connect & Collaborate

I am always open to discussing Systems Programming (Rust/C#), AI Agent Infrastructure (MCP), Interactive 3D Web Projects, or Software Engineering Opportunities.

Platform Handle / Endpoint Action
🌐 3D Web Portfolio psy-zney.github.io Launch Interactive Portfolio ↗
🛡️ Flagship Project github.com/psy-zney/resc Explore resc Forensics Engine ↗
📫 Direct Email lequangkhanh295@gmail.com Send an Email ↗
💬 Facebook fb.com/psyotic.zney Connect on Facebook ↗

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