Summary
Andrea De Angelis is a Machine Learning Engineer based in Rome with 11 years of experience applying ML, data integration and software engineering to real-world problems. He has led research-to-production efforts—most notably as CTO of the ALASKA Benchmark project with partnerships including AT&T Labs and Amazon Research—and now applies that expertise at Translated. His background spans NLP, computer vision, deep learning and big data pipelines, with practical skills in data cleaning, scraping at scale and model evaluation. Andrea bridges academia and industry through open innovation work at Dock3, helping companies identify and transfer ML solutions. A voracious learner and former instructor in Java and Spring Boot, he combines rigorous academic training (MSc, 110/110 cum laude) with hands-on craftsmanship and a knack for turning messy, scraped data into usable benchmarks and models.
11 years of coding experience
3 years of employment as a software developer
Master's Degree, Computer Science, 110 cum laude, Master's Degree, Computer Science, 110 cum laude at Roma Tre University
Italian, English