Cleo
Fabio Badalì is a seasoned data engineering professional with extensive experience in leading technical teams and projects. Currently serving as Staff Data Engineer at Cleo, Fabio developed the Espresso MLOps framework for deploying and monitoring machine learning models, as well as the Spritz streaming feature engineering solution. Prior experience includes a role as Technical Lead for the Data Platform at AXA Italia, where Fabio managed a team of nine in the ingestion of data from over 1,000 source databases. At Nokia, Fabio held dual roles as Analytics Architect and Analytics Engineer, focusing on machine learning platform development and model productionization. Initial career steps included data science at Yewno and a thesis role at General Motors. Fabio holds a Master’s degree in Computer Engineering from Politecnico di Torino and a Bachelor's degree in Computer Engineering from Università degli Studi di Palermo.
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Cleo
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Cleo is a family support system that employers offer working parents, by helping families navigate their journey from fertility, to pregnancy, to parenting of newborns, infants, toddlers, and children to age 5. Employers choose Cleo as a strategic partner to power their culture transformation and see increased employee retention, more diverse andinclusive workplaces, and reduced health claims. Cleo supports parents globally in 50+ countries and works with forward-thinking companies like eBay, LinkedIn, Uber, and Straus Family Creamery and many others. Cleo is headquartered in San Francisco and is backed by Felicis Ventures, Forerunner Ventures, Greylock Partners, and NEA. Learn more at hicleo.com.