Summary
Deividas Skiparis is a lead data scientist based in Lithuania with a decade of experience turning data into product impact. He currently leads data science at Vinted, guiding end-to-end ML initiatives from dataset preparation in data lakes with Scala/Spark to model development, evaluation, and scaling into production. His work spans near-real-time fraud detection, package size recommendations, clothing color identification, and GenAI-enhanced Help Centre features, with a strong emphasis on monitoring, A/B testing, and reliable deployment. Previously at ThoughtWorks and Turing College, he excels at translating AI concepts for non-technical stakeholders and building teams that move prototypes to production-grade systems. He merges an aerospace engineering foundation with a Master’s in Artificial Intelligence to bring rigorous, systems-level thinking to practical ML and CV challenges.
10 years of coding experience