I was inspired by the design philosophy of vim to create this minimal and efficient keyboard-driven tool to help teachers provide grades and feedback for their google classroom assignments.

The backend stack is PostgreSQL, Django, and Django REST Framework. The application is deployed on a Kubernetes cluster that I created and maintain in my home. It's infrastructure is defined as code (IaC) using Terraform. It is also continuously deployed to production and staging environments using GitHub Actions. The backend utilizes the Google Drive and Google Classroom APIs to fetch user data. I also used Python's difflib to implement a feature where teachers can view only the differences between the template they provided to students, and the actual student submission.

On the frontend of this project, I used Tailwind CSS and htmx to facilitate rapid prototyping, and minimize code repetition. This choice also allowed me to dynamically inject UI browser extension from the backend, which has been pretty neat!

The Song Maker Gallery is a dynamic web application used by music teachers to present galleries of student compositions made in the Chrome Music Lab.

It currently has 708 active users, 729 galleries created, and over 34,000 student songs uploaded! It was built with Django, Django REST Framework, and PostgreSQL on the backend, and React on the frontend.

Visit the site and inspect the song thumbnails in your browser – they are all dynamically generated SVG on the frontend, with the backend serving representations of the song in the MIDI file format! The application uses roughly 20 times less storage and bandwith as a result of this optimization.

In June, July, and August of 2021, I committed myself to contributing to CPython full-time. CPython is the reference implementation and most commonly used implementation of the Python programming language, and it contains the Python interpreter, standard library, and official documentation.

Many of my contributions were towards documentation, the most significant of which was my rewrite of the new documentation for __main__.

Eventually, I became more familiar with the huge CPython codebase, and I am extremely proud to say that my code contributions were eventually merged into Python standard library modules, including rlcompleter, tarfile, and argparse. I also wrote an interpreter patch in C, which became part of the implementation of the structural pattern matching feature introduced in Python 3.10.