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coder-red/README.md

👋 Hi, I'm Mohammed

I build production-oriented AI systems with a focus on backend infrastructure, and agent-based decision workflows.

  • 🧠 Focus: Designing reliable AI systems, inference pipelines, decision layers, and human-in-the-loop workflows.

  • ⚙️ Interests: LLM-powered systems, scalable backend architecture for AI applications, Fraud detection, risk modeling.

  • 🤝 Open to collaborate on: ML-powered APIs, Fintech systems or real-world AI infrastructure projects.

  • 📫 Contact: Mohammed.Ds.Ml01@gmail.com

🧠 My Stack

Backend / API
FastAPI Uvicorn

Machine Learning
Scikit-Learn XGBoost Pandas NumPy

AI / Agents
LangGraph OpenAI

Database & Infrastructure
PostgreSQL Redis Docker

Pinned Loading

  1. live-fraud-detection-agent live-fraud-detection-agent Public

    This model identifies fraudulent credit card transactions in real time by combining XGBoost machine learning with an Agentic LLM investigator.

    Jupyter Notebook

  2. credit-risk-model credit-risk-model Public

    This model predicts if a borrower will pay back a loan or not. Lending institutions use this to make informed decisions on whether to approve a loan or not, manage credit risks, and reduce default …

    Jupyter Notebook

  3. Financial-volatility-forecasting Financial-volatility-forecasting Public

    This model predicts future market volatility.Portfolio managers, traders and financial institutions use this to manage risk, price options, and decide how much exposure to take in financial markets.

    Jupyter Notebook