Summary
Antonis Krasakis is a research-driven machine learning engineer with 10 years of experience blending academic rigor and industry impact across information retrieval, NLP and production data science. Currently a Research Intern at Microsoft and recently completing a PhD at the University of Amsterdam’s IRLab, he focuses on semi-supervised methods, weak supervision and meta-learning for conversational search and retrieval-augmented generation. His background spans applied roles at Amazon, bol.com and Elsevier where he scaled data-hungry models by extending training corpora and delivering production-ready analytics for e-commerce and biomedical text. With an MSc (cum laude) in Data Science and a diploma in Electrical & Computer Engineering, he pairs deep theoretical knowledge with practical engineering—from web crawlers to smart-grid ML systems. Based in Amsterdam, Antonis is especially interested in combining weak supervision and meta-learning to reduce annotation costs while improving retrieval robustness, a thread visible across his academic and industry projects.
10 years of coding experience
2 years of employment as a software developer
Diploma Electrical and Computer Engineering, Diploma Electrical and Computer Engineering at Aristotle University of Thessaloniki (AUTH)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Amsterdam
High School Diploma, High School Diploma at 3rd General Lyceum of Heraklion, Greece
English, Greek, German