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initd-fr/README.md

Quentin Van Steenwinkel

Full-Stack Developer • Backend • Systems • Applied AI

🧩 Core Stack

⚙ Systems & Infrastructure

  • Linux (Debian, AlmaLinux, RedHat)
  • Proxmox / Virtualized environments
  • Bare metal & VPS administration
  • CI/CD pipelines
  • Podman
  • Git workflows
  • Production deployments

🧠 AI / Machine Learning

  • Machine Learning (scikit-learn)
  • Deep Learning foundations
  • Model evaluation & feature engineering
  • AI integrations (LLM APIs, RAG concepts)
  • Workflow automation

Certifications: Stanford • Columbia • University of Washington

🔐 Cyber & Security Foundations

  • OWASP principles
  • Surface analysis
  • OSINT
  • Linux hardening
  • Basic offensive testing

🎮 Exploration

  • Game development (Godot, Unity )
  • C++ experimentation
  • ASP.NET API exploration

🎓 Background

  • Bac +4 Développeur d’applications (RNCP 6)
  • Bac +2 Développeur informatique (RNCP 5)
  • AI Engineer (OpenClassrooms – career in recovery)

Currently preparing to resume a Master's degree (Bac+5) in AI / Data & Machine Learning.

📫 Contact

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  1. create-fastapi-app create-fastapi-app Public

    Opinionated CLI to generate production-ready FastAPI backends with modern Python tooling.

    Python

  2. Clara_ai Clara_ai Public

    RAG-based AI system with FastAPI backend, Next.js frontend, pgvector search, and multi-LLM orchestration (OpenAI, Mistral, Anthropic, Gemini)

    TypeScript

  3. The-HUB The-HUB Public

    A unified, modular and scalable business platform, enabling the centralization of daily operations (management, documents, monitoring, communication) within a coherent, secure and technically contr…

    TypeScript

  4. CESI-Teaching-Materials CESI-Teaching-Materials Public

    Teaching materials and practical modules for software engineering students (web, backend, mobile, cybersecurity, DevOps, AI).

    Python