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MyKnowledgeBase πŸ§ πŸ”’

Live Website Portfolio GitHub LinkedIn HuggingFace X / Twitter

Personal Knowledge Base & Technical Research Hub
Curated by Ahmed BARGADY β€” Graduated Data Scientist, AI Engineer & PhD Researcher at UM6P.
Comprehensive theoretical derivations, PyTorch/DGL code implementations, APT threat detection syntheses, and production system architectures.


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πŸ› οΈ Technology Stack & Frameworks

πŸ€– AI, Machine Learning & Graph Intelligence

PyTorch DGL TensorFlow Scikit-Learn NumPy SciPy OpenCV

πŸ”’ Cybersecurity & Threat Detection

GNNs Provenance Graphs DARPA Datasets Malware Analysis

⚑ Systems, Cloud & Web Engineering

Docusaurus 3 React 19 TypeScript Python 3.11 FastAPI Tailwind CSS v4 KaTeX Mermaid


πŸ›οΈ Knowledge Base Architecture

1. πŸ€– AI & Deep Learning (/docs/ai-deep-learning/)

  • Foundations & Optimization: Neural network forward/backpropagation from scratch, loss landscapes, convex optimization, KKT conditions, ADMM solver exercises.
  • Computer Vision & Representation: CNNs, Pooling/Conv layers, Autoencoders (AE, MAE, VAE, GANs).
  • Sequence Modeling & NLP: RNNs, LSTMs, GRUs, Bi-LSTMs, Transformers, Attention Mechanisms, Tokenization, BERT, Modern BERT.
  • Graph Representation Learning: Graph Embeddings, GCNs, GraphSAGE, GAT, Contrastive Learning, Graph Autoencoders (GAE, GraphMAE), DGL practical labs.
  • Generative Diffusion: Probability theory, Variational Inference, Stochastic Calculus, DDPM, Stable Diffusion.

2. πŸ”’ Cybersecurity & APT Detection (/docs/cybersecurity/)

  • Foundations & Career: Certificate syntheses, risk management, network security, Linux/SQL audit pipelines.
  • Malware Analysis: Static/dynamic analysis workflows, hexadecimal arithmetic, threat intelligence.
  • Provenance & System Log Analysis: System log anomaly detection algorithms (MAGIC '24 USENIX, ThreaTrace '22 TIFS, UNICORN '20 NDSS, Holmes '19 S&P, Radar).
  • APT Datasets: DARPA TC E3/E5, OPTC, StreamSpot, ATLAS, DARPA CDM v18 schema analysis.

3. ⚑ Production Projects (/docs/projects/)

  • Agentic GraphRAG Digital Twin: Overview, RAG foundations, MCP Server integration, FastAPI SSE streaming, security guardrails, visualization, and architecture recaps.

πŸš€ Local Development

# Clone repository
git clone https://github.com/AhmedCoolProjects/MyKnowledgeBase.git
cd MyKnowledgeBase

# Install dependencies
npm install

# Start development server
npm start

# Build production static bundle
npm run build

πŸ‘¨β€πŸ”¬ Author & Contact

Ahmed BARGADY


πŸ“„ License

Licensed under the MIT License.

About

Personal Knowledge Base & Technical Research Hub by Ahmed BARGADY (AI Engineer & PhD Student @ UM6P). Comprehensive mathematical derivations, PyTorch/DGL code implementations, APT threat detection syntheses (GNNs & Provenance Graphs), and Agentic GraphRAG system architectures.

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