Giovanna Miotto
Computer Scientist at CERN
Meyrin, Geneva, Switzerland
Summary
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RockstarGiovanna Miotto is a computer scientist with eight years of engineering experience, currently based in Meyrin, Geneva, and active in both academic and open-source ecosystems. She blends systems-level expertise with practical backend development, notably contributing to ROOT’s DAOS backend by generalizing libdaos_mock for multiple I/O descriptors and adapting code to the DAOS 2.0 API. Her work demonstrates deep familiarity with high-performance storage interfaces and scientific data frameworks, helping improve correctness and maintainability in a widely used scientific data project. Educated across UFRGS and TU Kaiserslautern and experienced as an intern at root-project, she brings cross-cultural research training to production-grade engineering.
8 years of coding experience
Github Skills (9)
cer10
data-storage10
eos10
dao10
c-language10
cprogramming-language10
r10
data-analysis9
statistics8
Programming languages (3)
Github contributions (5)
root-project/root
Apr 2022 - Jan 2023
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
Back-end Developer
Back-end DeveloperContributions:47 reviews, 36 commits, 23 PRs in 9 months
Contributions summary:Giovanna's contributions primarily focus on enhancing the `libdaos_mock` library within the ROOT project, specifically related to the DAOS (Distributed Asynchronous Object Storage) backend. They generalized the `daos_mock` to handle multiple I/O descriptors and improved the clarity and formatting of the codebase. The user also adapted the I/O backend to the DAOS 2.0 API and addressed issues with entity creation, specifically focusing on the usage of labels. These changes suggest a deep understanding of the DAOS interface and integration with the ROOT framework.
pythonroot-cernmathematicsc-plus-plusscientific-visualization
glmiotto/root
Apr 2022 - Apr 2023
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Contributions:2 PRs, 182 pushes, 36 branches in 1 year
analyzingdata-analysispythondata-sciencestoring
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