Summary
Alessio Vaccaro is a Data Scientist and ML Data Engineer who blends a civil engineering foundation with imaging, IoT and AI to design efficient, scalable data solutions. Based in Bari, Italy, he brings eight years of experience across Space, Industrial IoT and analytics, currently leading data science and ML engineering initiatives at Angel4Future. He designs full-cloud ML/DL pipelines on serverless and distributed infrastructures (Databricks, Kubernetes), embracing MLOps to move models from data to production. As a Towards Data Science author and a multispectral-imaging enthusiast, he frequently works with image-heavy data and contributes knowledge to the data science community. With a Master’s in Civil Engineering (Hydraulics and Water Resources) and a Master in IoT, Big Data & Data Analysis, he combines technical depth, innovation and business-minded strategy to turn complex data into actionable insights.
9 years of coding experience
5 years of employment as a software developer
Master in IoT, Big Data & Data Analysis, Master in IoT, Big Data & Data Analysis at ELIS Innovation Hub
Master's Degree, Civil Engineering - Hydraulics and Water Resources, Master's Degree, Civil Engineering - Hydraulics and Water Resources at Università degli Studi di Palermo
Italian, English