Carlo Lemos
Senior Software Engineer (L5) at Google
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolCarlo Lemos is a Senior Software Engineer (L5) based in São Paulo with five years of cross-disciplinary experience blending data science, machine learning, and software engineering. He has built ML-driven products across finance and agribusiness at Itaú and Serasa Experian and recently led LLM-based code security and supply-chain efforts at Google, including work tied to CodeMender and OSS fuzzing infrastructure. Comfortable moving between research-grade probabilistic modeling (Master’s in Probability and Statistics) and production systems, he also contributes to widely used open-source projects like scikit-learn by improving documentation and usability. Known for a pragmatic, curious approach, Carlo values peer collaboration and learning from mistakes, and his profile hints at a deep mathematical curiosity beyond typical engineering roles.
5 years of coding experience
6 years of employment as a software developer
Master's degree, Probability and Statistics, Master's degree, Probability and Statistics at USP - Universidade de São PauloSummer course scholarship, Class: Introduction to the Theory of Vibrations and Waves, Summer course scholarship, Class: Introduction to the Theory of Vibrations and Waves at IMPABachelor's degree, Science and Technology, Bachelor's degree, Science and Technology at Universidade Federal do ABC
Github Skills (4)
documentation10
python5
data-science4
machine-learning3
Programming languages (3)
Github contributions (5)
scikit-learn/scikit-learn
Aug 2022 - Dec 2022
scikit-learn: machine learning in Python
Role in this project:
Technical Writer
Technical WriterContributions:26 reviews, 6 commits, 11 PRs in 3 months
Contributions summary:Carlo primarily contributed to documentation updates within the scikit-learn repository. Their work included correcting typos and formatting issues in various documentation files, ensuring that docstrings adhere to the numpydoc standard. The user also addressed issues related to rendering of version information and enhanced documentation related to the `partial_dependence` function. Their efforts focused on improving the clarity, accuracy, and maintainability of the project's documentation.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
vitaliset/vitaliset.github.io
Jun 2020 - Dec 2022
Carlo Lemos
Contributions:253 commits, 29 PRs, 363 pushes in 2 years 5 months
carlo
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