nil-andreu / ba-sprint7 Goto Github PK

🔭 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.
• Auto-Deep-Learning (24k Downloads): library I created with the aim of auto-creating, based on the data, the architecture of a neural network for multi-modal image classification, as well as train, test & deploy. Done with PyTorch & HuggingFace.
• Postgres-Backup (23k Downloads): have cross-cloud provider & cross-region backups with this library for automating the creation & upload of PostgreSQL backups to AWS & GCS. Done with boto3 & google-cloud-storage.

📫 How to reach me: [email protected]