Leonardo Ferreira
Research Professor at Universidade Federal do Rio Grande - FURG
Rio Grande do Sul, Brazil
Summary
👤
Senior🎓
Top SchoolLeonardo Ferreira is a research-focused software and machine learning engineer with a decade of experience blending astrophysics, deep learning, and cloud-native engineering. He leads a funded research center at FURG that builds on-premise AI training infrastructure to analyze JWST and large survey data, while also delivering production-grade ML solutions in industry at L2. His background ranges from developing data pipelines and test automation for prominent open-source astronomy tools (contributing to astropy) to hands-on backend, DevOps, and webapp deployment on AWS. Trained with a PhD in Astronomy and a strong foundation in mathematics and statistics, he bridges theoretical cosmology and practical ML systemization, mentoring students and fostering international research partnerships. An uncommon strength is his track record of moving academic models into scalable, reproducible pipelines and institutional infrastructure that enable technology transfer.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, A, Doctor of Philosophy - PhD, Astronomy and Astrophysics, A at University of NottinghamBacharelado, Física, Bacharelado, Física at Fundação Universidade Federal do Rio GrandeMestrado, Astrofísica, A, Mestrado, Astrofísica, A at Universidade Federal do Rio Grande - FURGSistemas para Internet, Desenvolvimento Web, Sistemas para Internet, Desenvolvimento Web at Centro Universitário Anhangüera
Portuguese, English
Github Skills (7)
astropy10
python10
numpy10
testing10
astronomy9
astrophysics9
pytest8
Programming languages (2)
Github contributions (5)
astropy/astropy
Dec 2015 - Mar 2016
Astronomy and astrophysics core library
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 2 PRs, 15 comments in 3 months
Contributions summary:Leonardo primarily focused on enhancing the testing infrastructure within the repository. Their contributions include adding new test cases for the `mad_std` function, specifically targeting the inclusion of the `axis` keyword, and making adjustments to existing tests. Additionally, they made minor fixes to test files, removing unnecessary elements and whitespace. The user's work ensures the accuracy and reliability of the `astropy.stats` module.
astrologypythonscienceastrophysicsastrodynamics
astroferreira/galclean
Oct 2015 - May 2021
Simple tool to remove bright sources (excluding the galaxy itself) from a fits image using Astropy's PhotUtils
Contributions:1 release, 31 commits, 1 PR in 5 years 7 months
pythonfits-imagemercurynightgalaxy
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