Fabio Vivian
Machine Learning Engineer at CSS
Switzerland
Summary
👤
SeniorFabio Vivian is a Machine Learning Engineer based in Switzerland with nine years of experience applying data science to real-world problems, notably atmospheric chemistry. Currently at CSS, he builds ML-driven solutions that bridge environmental science and practical business impact. His background as a data scientist gives him a strong foundation in statistical modeling and data-driven experimentation, while his focus on atmospheric chemistry signals domain expertise often missing in typical ML roles. Colleagues value his ability to translate complex scientific concepts into production-ready models and actionable insights. Fabio combines research-minded curiosity with pragmatic engineering to deliver robust, explainable solutions in regulated settings.
9 years of coding experience
German, English, Italian
Github Skills (30)
leaflet7
jupyterlab-extension6
satellite-imagery6
smithy5
jupyter-notebook5
earth5
jupyterlab5
jupyter5
visualization5
observation5
earth-observation4
machine-learning4
python4
ipywidgets3
telegram-bot3
Programming languages (5)
Github contributions (5)
fvivian/Sentinel_Datashader
Jan 2018 - Jan 2018
Contributions:29 commits, 28 pushes, 1 branch in 4 days
fvivian/TerraMaterBot
Jan 2018 - Nov 2018
A Telegram bot to send Sentinel images to the user along with a URL directing to the corresponding EO Browser instance.
Contributions:7 PRs, 94 pushes, 6 branches in 9 months
telegram-botpythonbrowserbottelegram
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