8 years experience with the Julia language for research software.
My PhD and scientific initiation projects were in C++, accruing 5 years of experience.
I have supervised students on machine learning topics, using Python's scikit-learn stack.
I have consulted and supervised on optimization modeling topics, include Julia's JuMP modeling language.
I manage several GitHub repositories, setting continuous integration for automated testing, building documentation, code coverage, and various other workflows. I have used GitHub Actions, Travis, Codecov, and Coveralls.
I have experience building a Single Page Application in Typescript, Vue 3 and Quasar.
Social and community
I am a native Portuguese speaker and a fluent English speaker.
I have basic knowledge of Spanish and French, and I know a few words of Dutch and Russian.
I have solid written and verbal skills.
I am organized, proactive, and I am a team worker.
I can produce documentation in various formats, such as written tutorials and APIA reference documents, as well as videos and live coding on specific topics.
I managed a team translating the Think Julia book.
Open science and research software
I taught Shell, Git, LaTeX, and Julia in many workshops.
I helped organize 2 workshops related to Software Carpentry, 1 related to Hacktoberfest, and other local tutorial sessions.
I taught at the 2017 CODATA-RDA School of Research Data Science.
I have reviewed for the Journal of Open Source Software and the Journal of Open Research Software.