Machine Learning

How to make and deploy a simple frontend for an AI web app that interacts with a serverless backend.

How to deploy a serverless AI app to Google Cloud almost for free using Cloud Run and the Artifact Registry.

How to develop a simple CI/CD pipeline for testing your code with GitHub Actions.

How to use multi-stage building in Docker to containerize a hatch project with a web app.

How to use FastAPI+Uvicorn to write and deploy the backend of a simple AI App.

How and why we should use pytest and unit tests to facilitate development when writing an AI App.

How to setup a Python project for easy developing with black, ruff, pre-commit hooks, and type hints.

How and why to make a proof of concept for an AI app, using Jupyter Notebook.

A complete guide to developing and deploying an AI Web App with modern tools.

This was a short project I did with a pick-up team for a weekend-long Hackathon. The idea was to take the most liked tweets for a specific user, and use a Large Language Model to generate new tweets in this user’s style.