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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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Nil-Andreu/README.md

Hello World 👋

I am Nil Andreu, Machine Learning Engineer & student of Data Science & ML in University of Barcelona.

🔭 What I'm currently using in application development is HTML, CSS (Grid, Flexbox, Bootstrap & Sass), JavaScript & TypeScript (with React, Three & gsap), SQL, Python (FastAPI, Flask, Django & Django Rest Framework) & Golang (Gin).

👯 For data science I have experience working with statsmodels, Pandas, scikit-learn, PyTorch (including PyTorch Lightning), Tensorflow & Keras.

🌱 In insfrastructure, have used Docker, Kubernetes, Terraform in Google Cloud & AWS.

👨‍💻 My actual statistics in GitHub:

⚡ Some of my relevant contributions to Open Source:

  • OpenAssistant (33k Stars): worked in NLP for the messages classification regarding its toxicity & creation of embeddings message for clustering/similarity. Done with FastAPI, alembic, asyncio & HuggingFace.

📫 How to reach me: nilandreug@gmail.com

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  1. deep-learning deep-learning Public

    This are the deep learning submissions I have to make in the course.

    HTML 1

  2. injestion_forecasting-app injestion_forecasting-app Public

    Injestion Service for the Forecasting App

    Python 1

  3. personal-blog personal-blog Public

    TypeScript 1

  4. leet-code-python leet-code-python Public

    Python

  5. Savitar-Hub/auto-deep-learning Savitar-Hub/auto-deep-learning Public

    Automatically create, test & evaluate a deep learning algorithm for text & image classification.

    Python 2

  6. Savitar-Hub/postgres-backup Savitar-Hub/postgres-backup Public

    Automatise creation of Postgres backups on multiple bucket cloud providers and regions

    Python 1