Summary
Alessio Vaccaro is a Data Scientist, ML and Data Engineer with nine years of experience building cloud-native, serverless and distributed ML solutions across Space, Industrial and IoT domains from his base in Bari, Italy. Trained originally as a civil engineer, he combines strong systems thinking with hands-on expertise in Azure Databricks, Kubernetes, Spark and MLOps to deliver real-time hybrid cloud pipelines, anomaly detection, OCR and multispectral imaging workflows. He architects microservices-based deployments and productionizes deep learning models using serverless functions and Databricks while keeping usability and product impact front of mind. A regular contributor to Towards Data Science and an avid astrophoto/imaging enthusiast, he brings curiosity-driven experimentation and domain cross-pollination to projects that require both engineering rigor and innovative ML.
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