Summary
Ramtin Yazdanian is a Director of Artificial Intelligence with nine years of experience building scalable data and AI systems, currently leading AI efforts at APEX Engineering AI after driving major initiatives at EPFL. He architected a high-throughput FastAPI/Celery pipeline that processed over 40,000 institutional videos (adopted by peer institutions) and built a 40,000+ concept hierarchical ontology mapped to OpenAlex topics. His work spans production engineering (RAG ETLs, Airflow orchestration) and applied research, including a best-paper-winning collaboration with Wikipedia at ICWSM 2019. He has translated analytic insights into institutional impact, advising EPFL leadership on course overlap reductions via custom similarity metrics and visualizations. Comfortable moving from low-level systems to human-facing interfaces (Python+React), he blends rigorous PhD-level research with practitioner speed in prototyping and deployment. A detail that surprises collaborators: many of his large-scale knowledge engineering solutions were adopted across institutions with minimal outreach, underscoring their practical usability.
9 years of coding experience
Doctor of Philosophy - PhD, Computer and Information Sciences, General, 5.625 / 6, Doctor of Philosophy - PhD, Computer and Information Sciences, General, 5.625 / 6 at EPFL
Bachelor's degree, Computer Software Engineering, 19.20/20, Bachelor's degree, Computer Software Engineering, 19.20/20 at Sharif University of Technology
Persian, English, French, Russian, Arabic