Dario Berzano
Data & Analytics - AI Engineering Director
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolDario Berzano is a data and AI engineering leader with 13 years of experience building large-scale distributed computing, HPC and cloud-native solutions for science and industry, now directing AI Engineering at Procter & Gamble from Geneva. He blends hands-on systems engineering—stretching from Grid/HPC orchestration and container-based opportunistic computing at CERN to production AI platforms—with a knack for partnering closely with data scientists to turn complex datasets into measurable business value. His open-source contributions to the ALICE software build system demonstrate practical expertise in integrating and hardening scientific toolchains across diverse toolchains and compilers. A PhD-trained physicist and engineer, he is as comfortable optimizing deployment pipelines and GCC toolchain compatibility as he is coaching teams and delivering software training for large experiments. Outside work he’s a proud father of two, which informs a pragmatic, long-term view on mentoring and engineering decisions.
13 years of coding experience
7 years of employment as a software developer
Ph.D., Computer Science and Physics, Ph.D., Computer Science and Physics at Università degli Studi di Torino
English, French, Italian
Github Skills (14)
sh10
script10
build-system10
c-language10
shell10
cprogramming-language10
scripting10
exp9
software-packaging9
cmake9
alice9
root-view8
document-root8
physics7
Programming languages (18)
Github contributions (5)
alisw/alidist
Jul 2015 - Jul 2019
Recipes to build ALICE software
Role in this project:
Backend Developer
Backend DeveloperContributions:2 releases, 323 commits, 1050 PRs in 4 years 1 month
Contributions summary:Dario contributed recipes to build ALICE software, particularly focusing on integrating and configuring external libraries. This involved adding a recipe for RooUnfold and modifying existing recipes to improve system compatibility for GCC toolchains and prevent build failures. Further, the user added support for detector algorithms, updated Rivet and YODA, and fixed build and module file issues related to various components.
physicsrecipescernalicealice-experiment
dberzano/plancton
May 2016 - Oct 2017
Contributions:131 pushes, 48 branches in 1 year 5 months
dockerhtcondor
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