About StackOrbit

Who am I?

I'm a computer engineering student and developer who enjoys going deep: operating systems, low-level tools, security, and AI-powered workflows. StackOrbit is my space to document what I'm learning, building, and breaking down in a way other engineers can reuse.

Here you'll find technical write‑ups, practical troubleshooting guides (Windows, Linux, networking), and breakdowns of real projects — not just “hello world” tutorials.

What you’ll find here

  • Deep technical articles — detailed posts on OS internals, CLI tools, automation, and security concepts, with explanations and diagrams when needed.
  • Practical “tricks” and fixes — things like safely regaining access to your own Windows machine, setting up dev environments, and optimizing workflows.
  • Project breakdowns — from idea to architecture to implementation, including code snippets, gotchas, and lessons learned.
  • AI in the toolbox — how to use AI responsibly to speed up research, debugging, and documentation, without losing control of the codebase.

Focus areas

Windows & Linux internals Security & hardening Backend & tooling AI for developers

Selected projects (in progress)

This is a quick overview. Each project will have its own StackOrbit post with architecture diagrams, commands, and lessons learned.

  • 1. Noiro12 Labs Nexus — Sovereign Bug Bounty & Offensive Automation

    A sovereign Discord‑based “Bug Bounty empire” where a single bot coordinates local and cloud AI models with a curated toolbox of security utilities inside one RTX 4050‑optimized Docker container. The goal is to minimize the time from idea → recon → exploit → report, while keeping full control over data and tooling.

    Stack: discord.py (slash commands, Cogs), Docker, Ollama (DeepSeek, Qwen, LLaMA, Dolphin), LangChain, sentence-transformers, ChromaDB, Groq (LLaMA‑3), OpenRouter (Claude 3.5), 75+ security tools (ProjectDiscovery suite, rustscan, feroxbuster, sqlmap, theHarvester, XSStrike, ParamSpider, wpscan, nikto, wfuzz, commix, wafw00f, …), pyotp 2FA, structured logging.

  • 2. TruthLens — AI‑assisted news and content risk analysis

    A web platform that analyzes news and links to estimate how misleading or high‑risk a piece of content might be. Instead of a simple “true/false” label, it produces a full verdict with confidence, credibility score, harm level, toxicity, clickbait signals, entities, and crisis context, aimed at everyday users, journalists, and researchers.

    Stack: FastAPI, Celery, Redis, Skops models (fake news & clickbait), Detoxify, spaCy, SentenceTransformers, local Qwen LLM orchestration, Pydantic models for rich responses, Firestore for per‑user history, HTML/JS front‑end with planned annotation and citizen‑science features.

Connect

If you want to follow what I'm building, check the blog for new posts and updates. For code and experiments, visit my GitHub profile: github.com/noiro12.