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Archsec-Emman/README.md

👋 About Me

I build production‑grade security, trading, and full‑stack systems that startups can deploy on Day 1. My code has found real CVEs, powered quant strategies, and managed millions of data points.

  • 🔴 Red team operator & toolmaker — see Nemesis (autonomous pentesting with CVEs)
  • 🔵 Architect of the Financial Orchestrator — 37 AI agents, 100+ data connectors
  • 🟢 Creator of Conductor, a financial foundation model trained on 12B candlesticks

⚡ Featured Projects

📊 GitHub Stats & Trophies

🛠️ Tech Stack (What I Use Daily)

📫 Let’s Connect

“Code is just the proof of work. The real value is solving problems.”

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  1. Financial-Orchestrator Financial-Orchestrator Public

    Financial Intelligence Workstation — A native, cross‑platform desktop terminal with 37 AI agents, 100+ data connectors, 16 broker integrations, QuantLib suite, visual node editor, and embedded Pyth…

    Python 2

  2. Nemesis Nemesis Public

    Nemesis is an autonomous AI-driven pentesting agent that turns LLMs into skilled security testers, executing commands in an isolated Docker container and documenting findings with full context.

    JavaScript 1

  3. 403-Killchain 403-Killchain Public

    403‑Killchain fuses four independent bypass engines into a single, silent binary. Each engine uses a unique strategy to turn 403 Forbidden into 200 OK. They run in parallel, and the results are mer…

    Go 1

  4. Prediction-Engine Prediction-Engine Public

    Unified Prediction Market Oracle – Combines AI analysis, paper trading, and strategy backtesting into one binary. Run all three engines on any Polymarket or Kalshi event for a complete intelligence…

    Jupyter Notebook 3

  5. Conductor Conductor Public

    Conductor – The first open‑source foundation model for financial candlesticks (K‑lines), pre‑trained on 45+ global exchanges for zero‑shot forecasting, volatility prediction, and synthetic data gen…

    Python 1