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graph90/README.md

Hi there

I'm Nathaniel (graph90) — a Software Developer focused on low-level systems, hybrid C / x86-64 assembly, self-hosted AI tooling, quantum computing experiments, and game development.

I like understanding software from the metal up.

🧠 Core Focus

  • Low-level x86-64 Assembly + C integration
  • Runtime binary mutation & metamorphic techniques
  • System programming on Linux / BSD
  • Self-hosted AI systems & local LLM agent tooling
  • Experimental quantum computing
  • Backend & infrastructure engineering

Skills & Technologies

  • Languages: Python, C, C++, Java, Bash, Lua, x86-64 Assembly
  • Platforms: Linux, FreeBSD, MINIX
  • Interests: Systems Programming, Security Research, AI, Quantum Computing, Game Development (Roblox)

⚛ Quantum Computing Projects

  • Qiskit and PennyLane experiments with educational Jupyter notebooks and tutorials
  • Algorithms implemented: Deutsch–Jozsa, Bernstein–Vazirani, Grover’s, Quantum SVM
  • Public notebook collection: Quantum Computing Projects

Featured Projects

🧬 metamorphic-engine-x64 (v2)

Hybrid C / x86-64 assembly metamorphic engine demonstrating runtime binary mutation.

  • Evolution of an original pure NASM engine (v1) into a reusable C-callable module (v2)
  • Randomized mutation passes: XOR, ADD, rotations, byte swaps
  • Custom xorshift RNG seeded via rdtsc
  • Position-independent design operating on arbitrary memory buffers
  • Produces unique binary output every execution while preserving program flow

📈 59 clones + 2 stars in under 6 days
📣 Shared on LinkedIn with 13k+ organic impressions

  • Docker Quest – Interactive terminal-based Docker learning game built in Python.

    • Gamified Docker training simulator with missions, XP, streaks, and engineer levels
    • Simulates common container workflows:
      • Image management
      • Container lifecycle operations
      • Logs and debugging
      • Build and deployment scenarios
    • Designed to help developers learn Docker concepts through hands-on challenges

    https://github.com/graph90/docker-quest

  • Private AI Companion – Self-hosted AI assistant using Flask and LangChain (85+ clones first week)
    https://github.com/graph90/private-ai-companion

  • Bitcoin Dashboard – Live Bitcoin analytics dashboard (57+ clones first two days)
    https://github.com/graph90/Bitcoin-Dashboard

  • Jellyfin IMDb CLI – Tool to fetch accurate IMDb IDs for Jellyfin (50+ clones first day)
    https://github.com/graph90/jellyfin-imdb-cli

  • Blackjack AI – AI-powered Blackjack advisor
    https://github.com/graph90/BlackJackAi

  • OpenClaw Store – Persistent SQLite planning + memory backend for OpenClaw agents running local LLMs.

    • Built to improve long-running agent reliability with smaller local models
    • Goal/task planning system with dependency tracking
    • Persistent memory with importance and confidence scoring
    • JSON-first interface designed for agent tool usage
    • Tested with local 9B models including Ornith-1.0-9B-Uncensored-Abliterated-GGUF

    https://github.com/graph90/openclaw-store

Links

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  1. metamorphic-engine-x64 metamorphic-engine-x64 Public

    A hybrid C / x86-64 assembly metamorphic engine showcasing runtime binary mutation via randomized passes, instruction variants, and self-modifying payloads.

    Assembly 2

  2. metamorphic-engine metamorphic-engine Public

    Pure x86_64 assembly metamorphic engine demo. Outputs “Hello, world!” with changing binary code on each run.

    Assembly 4

  3. private-ai-companion private-ai-companion Public

    A self-hosted, uncensored AI companion built with Flask and LangChain. Private, fully customizable, and runs entirely on your own machine.

    HTML 4 1

  4. jellyfin-imdb-cli jellyfin-imdb-cli Public

    Quickly fetch IMDb IDs for shows and movies to fix Jellyfin metadata.

    Python 1

  5. Quantum-computing Quantum-computing Public

    Collection of Quantum projects using Qiskit and Pennylane

    Jupyter Notebook

  6. openclaw-store openclaw-store Public

    Persistent planning and memory backend for OpenClaw agents using local LLMs.

    Python