Diego Ciangottini
Tecnologo IT at INFN
Umbria, Italy
Summary
👤
Senior🎓
Top SchoolDiego Ciangottini is an IT technologist and scientific computing researcher with a PhD in High Energy Physics and over a decade of experience building software for large-scale computing at the LHC, primarily with the CMS experiment. He has led operations and development for analysis output transfer systems and provided user support for distributed GRID analysis tools at CERN and INFN. Comfortable working in collaborative, research-driven teams, he combines deep domain knowledge of particle physics with pragmatic engineering to solve complex, production-scale problems. Diego actively explores emerging tools in his spare time, constantly experimenting with new technologies to improve scientific workflows. Based in Umbria, Italy, he brings a rare blend of hands-on operations experience and research rigor that speeds delivery of reliable, scalable scientific computing infrastructure.
12 years of coding experience
1 year of employment as a software developer
Dottorato di ricerca, Fisica, Dottorato di ricerca, Fisica at Università degli Studi di Perugia
Italian, English, French
Github Skills (171)
parallel10
python10
interpreter10
data-management10
cling10
k8s10
statistics10
lucee10
location10
kubelet10
science10
geometry10
continuous-integration10
mathematics10
storage10
Programming languages (11)
Github contributions (5)
DODAS-TS/dodas-go-client
Jan 2020 - Feb 2021
A dodas CLI client
Contributions:13 releases, 4 PRs, 87 pushes in 1 year 1 month
nodejscli-clientcli
Cloud-PG/CachingOnDemand
Oct 2018 - Nov 2019
CachingOnDemand provides recipes and PaaS description templates for an end to end deployment of an XCache cluster
Contributions:6 releases, 16 PRs, 116 pushes in 1 year 1 month
paasend-to-endrecipesdevopsdeployment
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