Georgios Sidiropoulos is a data scientist with nine years of experience combining academic rigour and product-facing ML work, currently building data-driven solutions at bol in Amsterdam. He earned a PhD from the University of Amsterdam’s Information Retrieval Lab, where his research advanced robust neural retrievers for noisy and low-resource ad-hoc, multi-hop, speech-based, and knowledge-graph QA scenarios. Georgios has translated research into impact through the SAFEMODE Horizon 2020 project, developing text-analytics tools for maritime and aviation safety and delivering multiple project milestones. Prior industry roles include applied science at Amazon focusing on robust NER and engineering work on digital library systems, reflecting his ability to bridge research, software development, and production deployment. He supervises and teaches ML topics, evidencing strong mentorship and communication alongside technical depth. Notably, his work emphasizes robustness under real-world noise and scarce-data conditions—a practical edge for applied retrieval and QA systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Informatics, 7.9, Bachelor’s Degree, Informatics, 7.9 at Athens University of Economics and Business
Doctor of Philosophy - PhD, Information Retrieval, Doctor of Philosophy - PhD, Information Retrieval at University of Amsterdam
Contributions:7 pushes, 1 branch in 2 years 11 months
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