I was part of the IT team at the Institute for Biomedicine of Eurac Research. Assigned to the CHRIS-2D project, I worked on the creation of a “dynamic data portal”, a web app that allows researchers, even from outside institutions, to peruse a set of the data gathered by Eurac’s IfB studies.

Due to the small size of our development team, we decided to build the portal as a full-stack Django application. This also included an HTTP API for complementary CLI tools. I played a significant role in deciding the project’s architecture and implementation, and I am pleased with what was achieved.

I worked for the Openpolis Foundation, supporting their editorial team by developing multiple web applications and toolkits using Python and Django.

Those are the most relevant projects I worked on:

• opdm-service - “La Mappa del Potere”: one of Openpolis’ most important projects, a service which gathers, organizes and serves data about political power in Italy. I helped designing and implementing parts of the REST API (using Django REST framework), and developed many data import scripts, often using tools such as SPARQL to query relevant stuff from RDF structures.
• django-popolo: a Django implementation of Popolo, which is a set of open government data specifications. This is a core part of opdm-service, defining the main data structure and more.
• django-uwsgi-taskmanager: a Django app to manage asynchronous tasks via the admin interface, using the uWSGI spooler as a task queue. This is also a core part of opdm-service and other web apps I helped develop, often used to run and schedule tasks such as import pipelines, syncing with external sources, etc.
• opdm-etl: a Python micro-framework to implement ETL pipelines.
• op-povedu - “Povertà Educativa”: a Django application which gathers socio-economic data about education and minors in Italy, organizing everything into a structured database (queryable via Metabase) and handy CSVs. This data is then analyzed and used to produce articles and media. I’ve been the lead developer since the beginning. I made extensive use of pandas to transform and aggregate data.
• op-politiche-2018 - “A schede scoperte”: an application which, provided an address, would give the user the names of the candidates on the voting paper for the 2018 Italian general election in their electoral college. It would also inform the user about the candidate’s political political career and economic interests (e.g. their roles in companies). I worked on the app backend, developing the REST API with Django REST framework.