Tommaso Ricci
Lead Machine Learning Engineer at Innovid
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolTommaso Ricci is a Lead Machine Learning Engineer based in Edinburgh with a decade of experience building data-driven systems across TV advertising and cloud platforms. He progressed from intern to lead at Innovid, combining hands-on data engineering with ML leadership to operationalize models and scale pipelines. Holding an MSc in Big Data from the University of Stirling and a Computer Science background from Perugia, he blends academic rigour with pragmatic production experience. Early work in AWS and QA gave him a strong foundation in reliability and automation that he applies to ML lifecycle engineering. Colleagues describe him as passionately curious about emerging technologies and adept at turning complex datasets into actionable product features.
10 years of coding experience
6 years of employment as a software developer
Computer Science Computer Science, Computer Science Computer Science at Università degli Studi di PerugiaMaster of Science - MSc Big Data, Master of Science - MSc Big Data at University of StirlingLiceo Scientifico G. Marconi Foligno
Italian, English
Github Skills (36)
matematica6
prediction-model6
informatica5
electrical-engineering5
renewable-energy5
energy5
modeling-tool5
adapter4
textmate3
dbt2
provisioning2
web-application2
hyper-v2
athena2
syntax-highlighting2
Programming languages (3)
Github contributions (5)
Batto1300/MassDownloader
Feb 2017 - Apr 2018
Contributions:2 PRs, 4 pushes, 3 branches in 1 year 2 months
probabilitypythonscience
Batto1300/Cardiac-Events-Predictions
Oct 2018 - Nov 2018
This repo is used to carry out an analysis of a dataset containing many parameters obtained by assuming a specific drug: the goal is to predict futures cardiac events among elderly people.
Contributions:1 release, 2 PRs, 7 pushes in 10 days
clinical-trialspythongoalelderly-peoplepredict
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