Federico Incardona
Fixed-term Technologist - III Level at INAF - Istituto Nazionale di Astrofisica
Catania, Sicily, Italy
Summary
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Senior🎓
Top SchoolFederico Incardona is a technologist with 10 years of experience building and integrating mission-critical software for large astronomical projects, currently leading Monitoring, Logging and Alarm systems for the Cherenkov Telescope Array at INAF in Catania. He combines a PhD in Physics with strong software engineering, high-performance computing and data-analysis skills to deliver robust SCADA modules and predictive maintenance infrastructure that reduce telescope downtime. Federico has a track record of translating research-grade simulations into operational systems—his scanning-optimization code from his PhD is adopted by an international collaboration—and he has driven CI pipelines and performance tuning across distributed sub-systems. Based in Sicily, he pairs academic rigor and publication experience with hands-on system integration and a pragmatic focus on reliability and observatory operations.
10 years of coding experience
7 years of employment as a software developer
University of MilanMaturità Scientifica (Secondary School Scientific Diploma), 90 / 100, Maturità Scientifica (Secondary School Scientific Diploma), 90 / 100 at Liceo Scientifico Principe Umberto di SavoiaLaurea Triennale in Fisica (Bachelor's Degree in Physics), General Physics, 110 / 110 cum laude, Laurea Triennale in Fisica (Bachelor's Degree in Physics), General Physics, 110 / 110 cum laude at Università di Catania
Italian, English, French
Github Skills (46)
strip8
python8
data-analysis6
data-science6
julia5
splines5
curve5
pipeline5
mixed-models5
simulation5
curve-fitting4
sky4
gift4
orbit4
entropy4
Programming languages (5)
Github contributions (5)
fincardona/striptun
Oct 2017 - Mar 2018
Python script to tune the STRIP polarimeters
Contributions:26 pushes in 4 months
pythonstrippython-scripttune
fincardona/qubic
Jul 2018 - Apr 2019
Data analysis tools for the QUBIC experiment.
Contributions:7 pushes in 9 months
data-analysispythondata-scienceanalysis-toolsmachine-learning
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