Summary
Tadej Justin is a Chief Data Scientist at Medius with over a decade of experience blending academic research in speech synthesis and pattern recognition with practical software development and DevOps. He holds a background in automation and intelligent systems from the University of Ljubljana and pursued PhD-level research on emotional and cross-lingual speech technologies, publishing work accessible via ResearchGate and Google Scholar. Since co-founding a Python web consultancy early in his career, he has shipped production-ready predictive features while championing CI/CD and Kubernetes practices—he is a certified Kubernetes Administrator. Based in Ljubljana, he combines deep ML and signal-processing expertise with hands-on engineering leadership, ensuring models move seamlessly from prototype to production. An interesting thread through his career is the consistent interplay between academic rigor and pragmatic product delivery, enabling him to translate complex speech research into usable software solutions.
10 years of coding experience
8 years of employment as a software developer
Doctor of Science, Speech Synthesis, Doctor of Science, Speech Synthesis at University of Ljubljana, Faculty of Electrical Engineering