Mariia Bulycheva is a Senior Applied Scientist at Zalando, where she leads the development of AI-driven personalization systems. With a strong background in mathematics and previous experience in finance, computer vision and robotics, she brings a multidisciplinary approach to machine learning challenges. At Zalando, Mariia recently designed and implemented a novel graph neural network architecture for content recommendation, introducing this methodology for the first time at the company. Her work focuses on ranking multimodal content and optimizing for long-term user engagement, bridging research and real-world impact at scale.

Before focusing on recommender systems, Mariia worked on pricing and demand forecasting at Zalando, delivering scalable machine learning solutions that significantly improved accuracy and business outcomes.