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OsamaMoftah/README.md

Osama Moftah

I build AI systems for compliance, legal tech, knowledge graphs, and agentic search.

Based in Berlin.

Selected projects

Project What it does Stack
LegalDrift Detects semantic drift in legal documents and contract revisions. Python, NLP, statistical testing
Compliance Agent Screens policies against regulatory obligations with RAG, rules, and review reports. Python, RAG, rule reasoning
DiffDDL Experiments with differentiable deontic logic for obligations, permissions, and prohibitions. Python, PyTorch, neuro-symbolic AI
Ontology StarterKit Starter kit for ontology-first AI products with GraphRAG and validation examples. Python, knowledge graphs, SHACL
HF Agentic Search Evidence-led agentic dataset discovery for Hugging Face projects. Python, Gradio, React
Awesome AI in Europe Curated European AI resources across models, compute, policy, datasets, and communities. Awesome list, AI governance

Focus

  • AI governance and compliance automation
  • Legal document intelligence
  • Knowledge graphs and ontology-first AI
  • Agentic research and dataset discovery
  • Practical open-source tools for expert workflows

Links

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  1. Awesome-Ai-in-Europe Awesome-Ai-in-Europe Public

    Best European AI resources: frontier models, compute, inference, AI act compliance tools, Datasets, live communities, and many more.

    1 1

  2. DiffDDL DiffDDL Public

    Differentiable deontic logic for legal-tech and compliance; trainable rules, obligations, permissions, and prohibitions

    Python

  3. LegalDrift LegalDrift Public

    Statistical monitoring for legal document revision — detect semantic drift in contracts and policies

    Python

  4. Ontology-StarterKit Ontology-StarterKit Public

    A practical starter repository for ontology-first AI products with GraphRAG, ROI frameworks, and validation-ready examples.

    Python

  5. compliance-agent compliance-agent Public

    End-to-end compliance monitoring agent: regulatory RAG + semantic drift detection + differentiable rule reasoning

    Python