Summary
Dominykas Šeputis is a software engineer with 9 years of experience specializing in experimentation systems and causal inference, currently empowering data-driven decisions at Vinted. He blends rigorous mathematical thinking with hands-on engineering—building a Python-based experimentation framework, maintaining data warehouse integrations, and earlier helping stand up ML platforms on Kubernetes and Kubeflow. His background spans production ML in Trust & Safety (spam, moderation, fraud), NLP-driven products, and full-stack services from Rails APIs to React UIs. As an AI MSc student at the University of Amsterdam and an educator/mentor, he pairs research-informed approaches with practical mentorship, helping teams and students apply ML and software best practices. Notably, he was among Vinted’s early ML engineers, influencing company-wide ML infrastructure and deployment standards.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Amsterdam
Maturity Certificate, Maturity Certificate at Kaunas Saulės Gymnasium
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Vilniaus universitetas / Vilnius University
English, Lithuanian, Russian