In this job we developed a Django-based web server to process and analyze many web connectivity measurements to detect possible blocking events by the government. To do so, we implemented an algorithm to detect specific patterns in the stream of incoming measurements. I worked on optimizing queries, supporting the server and deployments, optimizing the web page, and developing new features, ingesting and processing data from third party APIs, and developing multiple simple tools for common tasks in the development cycle. We are currently working on a new mobile app to display news and podcasts to users, to circumvent internet censorship. I developed the backend in Django, the API using Django Rest Framework, and Postgres for the database.

I created a news classifier tool using Python and HuggingFace's transformers for Natural Language Processing. Its purpose was to find issues with public services in Venezuela that were otherwise non-registered.This project taught me about software development best practices, machine learning with Python for natural language processing (NLP), deploying applications in Google Cloud Platform and how to use Data Engineering workflows. The goal of this project was to identify the most important issues on public services so that efforts could be directed toward solving them.You can find the library that was developed for this project here: https://github.com/code-for-venezuela/c4v-py