Alessandro Amici
Chairman And Software Architect at Freelance
Rome, Lazio, Italy
Summary
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Rockstar🎓
Top SchoolAlessandro Amici is a software architect and founder with 23 years of experience building algorithm-driven Earth Observation and image-processing systems, and he currently serves as Chairman and Software Architect at B-Open in Rome. He blends scientific rigor from a Ph.D. in Physics with hands-on engineering, leading projects for international organizations, national institutions and multinationals across Europe and the Mediterranean. A longtime champion of the scientific Python ecosystem, he co-maintains several open-source projects including xarray and cfgrib and played a key role integrating GRIB support into xarray—bridging complex geospatial data formats with modern data workflows. As an independent senior consultant since 2014, he pairs strategic technical leadership with deep implementation expertise in data and workflow management for remote sensing and climate applications.
22 years of coding experience
22 years of employment as a software developer
Ph.D., Ph.D. at Technische Universität DresdenMaster's degree, Master's degree at Sapienza Università di Roma
Italian, English, Spanish, German
Stackoverflow
784reputation
59kreached
9answers
2questions
Github Skills (16)
xray10
backend10
back-end-development10
python10
xa10
numpy9
dask9
netcdf9
pandas8
algorithm6
unit-testing6
docker6
test-coverage6
pytest6
testing6
Programming languages (11)
Github contributions (5)
pydata/xarray
Oct 2018 - May 2021
N-D labeled arrays and datasets in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 reviews, 29 commits, 56 PRs in 2 years 7 months
Contributions summary:Alessandro significantly contributed to the integration of a GRIB backend for reading and processing GRIB files within the xarray library. Their work involved integrating the ECMWF cfgrib driver, modifying existing code, creating new classes, adding testing infrastructure, and updating relevant documentation. The user's efforts centered on enabling support for a new data format and ensuring it aligned with xarray's existing backend architecture and testing standards. They addressed issues such as coordinate renaming, caching, and indexing support.
pythonnetcdfnumpydaskarrays
alexamici/covid-19-notebooks
Mar 2020 - Dec 2021
Contributions:143 commits, 106 pushes, 2 branches in 1 year 9 months
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