Francesco Andreuzzi
Software Engineer (L4) at Google
Dublin, Ireland
Summary
🤩
Rockstar🎓
Top SchoolFrancesco Andreuzzi is a software engineer with 11 years of experience blending scientific computing, high-performance systems, and Java performance/observability. Currently at AWS working on async-profiler and OpenJDK, he previously contributed core profiling and performance fixes at CERN while pursuing an MSc in Computational Science at SISSA/UniTS. His background spans research roles in numerical analysis, dynamic mode decomposition and graph theory, and hands-on contributions to open-source projects—from PyDMD improvements to Android launcher tooling. Comfortable moving between research and production, he brings both formal numerical expertise and practical performance engineering to complex systems. An under-the-radar strength is his track record of improving profiler reliability and lock-test performance, a niche that directly impacts large-scale Java deployments.
11 years of coding experience
5 years of employment as a software developer
Summer school High Performance Computing, Summer school High Performance Computing at University of CambridgeMaster of Science - MS Computational Science, Master of Science - MS Computational Science at Università degli Studi di Trieste
Italian, English, German, French
Github Skills (30)
unit-testing10
matrix-decomposition10
performance-analytics10
performance-monitor10
c-language10
pytest10
python10
code-profiling10
linux10
java10
numpy10
javas10
performance-analysis10
android10
profiling10
Programming languages (12)
Github contributions (5)
fandreuz/TUI-ConsoleLauncher
May 2016 - Apr 2020
Linux CLI Launcher for Android
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:19 releases, 2 reviews, 158 commits in 3 years 11 months
Contributions summary:Francesco primarily contributed to the development of a Linux CLI launcher for Android. Their work involved code cleanup and bug fixes within the Java source code, specifically addressing issues with removing suggestions and handling null pointer exceptions. The user also implemented new features, like supporting new audio formats and integrating support for physical keyboard enter actions. Their efforts appear focused on improving the launcher's functionality and user experience.
androidclilinuxlauncherconsole
PyDMD/PyDMD
Mar 2021 - Jan 2023
Python Dynamic Mode Decomposition
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:142 reviews, 148 commits, 173 PRs in 1 year 11 months
Contributions summary:Francesco implemented a new parameter, `rescale_mode`, to the `DMDBase` class and all inheriting DMD classes to improve performance when computing the eigendecomposition. They refactored the code to use the `DMDOperator` class and integrated the `DMDOperator` in several classes. The user also added tests for the `DMD` class to cover the new `rescale_mode` parameter, its effects on modes and the behavior of the prediction method. They also contributed to improving documentation.
pythondynamic-mode-decompositiondmdmrdmdhodmd
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