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    Marjan Celikik

    Team Lead and Principal Machine Learning Engineer at Zalando SE

    Marjan Celikik is a hands-on research lead with a passion for addressing challenging engineering problems and a strong get-it-done attitude. He is dedicated to bringing value, innovation, and continuous learning in his work. Marjan specializes in various competency areas such as machine learning, deep neural networks, deploying scalable models to production, recommender systems, search and information retrieval, data engineering, big data technologies, and micro-service architecture. He is an experienced software engineer proficient in Java, Scala, Python, and C++, with expertise in design patterns, Rest API design, and industry best practices.

    Marjan's educational background includes a PhD in Computer Science with a perfect grade of 1.0 from Albert-Ludwigs-Universität Freiburg im Breisgau, a Master's degree in Computer Science with a 1.0 GPA from Universität des Saarlandes, and a Bachelor's degree in Computer Science from Sts. Cyril and Methodius University.

    Throughout his career, Marjan has held key roles in various prestigious organizations. He is currently the Team Lead and Principal Machine Learning Engineer at Zalando SE. Previously, he has worked as a Lead Machine Learning Engineer, Senior Applied Scientist in Machine Learning, and Research Engineer in Recommender Systems at Zalando SE. Marjan has also contributed his expertise as a Search and Recommendation specialist at EyeEm, as well as an R&D Engineer and Search Expert at HERE, a Nokia company. Additionally, he has served as a Research Assistant and PhD Candidate at both Albert-Ludwigs-Universität Freiburg im Breisgau and the Max Planck Institute for Computer Science.

    Marjan Celikik
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    Location

    Berlin, Berlin, Germany