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Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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fllin1/README.md

Hi 👋, I'm Florent

A fellow Data Scientist learning to code during the AI race

  • 🔭 I’m working on a creating flexible and efficient AI/ML pipelines.

  • 🌱 I’m currently learning MLOps practices.

  • 💬 Ask me about AI, workout and anime.

  • 📄 Know about my experiences with my CV.

  • 📫 How to reach me 1florentlin@gmail.com.

Languages and Tools:

aws gcp firebase docker git python pandas pytorch postgresql go typescript

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  1. mawa mawa Public

    RAG workflow (Mistral OCR + Gemini) for complex regulatory PDFs. Context-aware injection strategies to reconstruct layouts, boosting retrieval accuracy

    Python 1

  2. hoopla hoopla Public

    Modern search engine techniques implemented end-to-end: keyword (BM25), semantic (embeddings), hybrid fusion (weighted, RRF), multimodal (image→text), and LLM-enhanced retrieval (RAG with Gemini).

    Python 1

  3. global-franchises global-franchises Public

    The goal of this project is to aggregate franchise data from multiple sources, analyze it to extract actionable insights, and match these insights to potential lead profiles.

    Python 1

  4. prices-predictor-system prices-predictor-system Public

    Machine learning pipeline for predicting real estate prices. Using industry best practices for MLOps by automating the entire lifecycle of a machine learning model—from data ingestion to deployment.

    Python 1

  5. homemade-mcp homemade-mcp Public

    Homemade-MCP is a tiny Python library that gives you one standard input/output format for multiple AI providers (OpenAI GPT, Google Gemini, Mistral OCR).

    Python 1

  6. template template Public

    Shell 1