I’ve worked on the topic of Machine Learning for Human-supervised signal matching, by researching several methods to better automate the task of time-series signal matching.I’ve also created a web application communicating with a production Postgres DB and a real-time inference model for predictions. I’ve also worked on an optimized distributed cron job to perform calculations on a Kairos DB, to dramatically speed up the inference process.

Working with a team of developers using the Agile Scrum framework, to develop an application that supports all the activities of the charitable entity Banco da Saúde, which gives away free meds to the Portuguese people in need, yet to be released for the general public.The application was developed in Python, with the Django framework hosted in the Google Application Engine. It's further supported by a pipeline with Continuous Integration and Delivery configured with Jenkins, Selenium, and SonarQube.https://voluntariado.edp.com/pt-BR/aggregators/68d333e3-73b5-4fb1-908e-1ae6b3be70ee