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Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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FilipSzmid/README.md

FilipSzmid

Hello everyone !

🛠️ My world :

Python  PostgreSQL  Oracle  Pandas  OpenCV  NginX  Linux  Jupyter  Jetbrains  Anaconda  React  Bash  Django  Docker  Flask   GitHub  Pytest  PyTorch  Firebase  GitLab  MySQL  NodeJS  AWS  RStudio  Selenium  SQLAlchemy  uWSGI  ubuntu  SSH 

👩‍💻 About Me :

I am a Machine Learning Engineer from Poland. 🤖

  • ⚡ I’m working in a largest European 🐍 software house and drive projects from idea to delivery.

  • 🏅 I have strong background in Mathematics and practical experience in Web Development.

  • 🚀 In my free time I train on the gym, travel the world and challenge myself, in winter I am snowboarding
  • 📫 Open for job offers:

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🔥 My Stats :

GitHub Streak

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  1. BP-Microservices BP-Microservices Public

    DevOps templates for creating Django web app, Cli tool and Data Warehouse with complete robust cloud CI/CD pipeline and all checkers.

    1

  2. PN-Album-Popularity PN-Album-Popularity Public

    Music album popularity prediction classic ML model showcasting MLOps, versioning, feature selection, cross valdiation and concept drift.

    Jupyter Notebook

  3. BN-Damage-Classifier BN-Damage-Classifier Public

    Damage classifier from handwritten text

    Python 1

  4. SXI-Tech-Recommender SXI-Tech-Recommender Public

    Pytorch recommendation system of possible known technologies for a people with specified tech stack. Utilizing hyperopt for hyper parameter tuning to find the best performing model.

    Python 1

  5. Memory-RAG Memory-RAG Public

    Adaptive Hybrid-RAG Memory Engine. A professional framework for stateful AI. Implements Weighted Reciprocal Rank Fusion (RRF) combining K-NN Vector Similarity with BM25 search. Features real-time S…

    Python