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Jordan L.JL

Jordan L.

AI Fullstack Developer — Chatbots, RAG & Automation

€550/day
Lille, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Jordan

Fullstack Developer specializing in AI — I make your data actionable and your processes smarter.

I assist SMEs and freelancers in implementing concrete and operational AI solutions: intelligent chatbots connected to your documents, data processing automation, and custom dashboards.

What I've already delivered in production:
→ A complete RAG platform allowing employees to query their company documents in natural language (NuxtJS, Python, Qdrant, local AI for privacy)
→ An HR automation system that automatically structures CVs into JSON and identifies the best candidates through semantic search (ChromaDB, RAG)
→ AI monitoring dashboards (LiteLLM, Signoz, Streamlit, ClickHouse)
My stack: Python (FastAPI, LangChain) · NuxtJS / React · PostgreSQL · ChromaDB / Qdrant · Docker · LLM (GPT, open-source models)

My approach: I start by understanding your business needs, I propose a functional MVP quickly, and I iterate with you.

No unnecessary jargon, concrete results.
Available for one-off missions or ongoing support.

Contact me to discuss your project.
  • French

    Native or bilingual

  • English

    Conversational

Remote only
Primarily works remotely

Experience

  • Infogene
    Data / AI Developer
    SOFTWARE PUBLISHING
    October 2024 - Today (1 year and 8 months)
    Neuilly-sur-Seine, France
    Headhunter — AI Solution for HR Management:

    Development from scratch of a Python backend for an existing HR application (NuxtJS/Symfony). The system automatically extracts and structures received CVs into JSON via LLM, stores them in a hybrid database (SQL + ChromaDB), and offers semantic search via RAG to identify the most relevant candidates. → Application processing time reduced from X minutes to Y seconds (if you have this figure, even approximate, it's gold).

    Notice — RAG Platform:

    Complete design and development of a natural language document querying platform, deployed in production. Stack: NuxtJS (front), Python (back), Docker (infra), Qdrant (vector database), local AI (GPT-OSS) ensuring data confidentiality. Multi-format processing (PDF, DOCX, images) via Docling, with adaptive RAG system (CQR/HyDE/Fusion). → Used daily by employees to search through X company documents.

    AI Monitoring Dashboards:

    Development of dashboards to visualize metrics and logs of the LLM proxy (LiteLLM): a dashboard integrated into Signoz and a Streamlit interface connected to ClickHouse. Complementary prototype for GPU monitoring (power consumption, memory) with real-time API.
    RAG AI Automation Python LLM Vector Embeddings

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Education

  • Discover Generative AI: The Essentials of OpenAI for Python Development
    Découvrir l'IA générative L'essentiel d'OpenAI pour le développement en Python
  • Bachelor's Degree in AI Development, AI Development
    EPSI - The School of Computer Engineering
    2025
    Licence développer IA, Développement IA

Skill set

Categories