Dorotea Rajšel

Dorotea Jalušić has a diverse work experience starting in 2017. Dorotea began their career as a Student Assistant at the Faculty of Science, University of Zagreb, Department of Mathematics, where they assisted in teaching Ordinary Differential Equations and Methods of Mathematical Physics. In 2018, they worked as a Software Quality Assurance at FINA - Financijska agencija. In 2019, they transitioned into the field of Machine Learning Engineering, first at Kraken Ltd. for a brief period, and then at Ascalia. At Ascalia, they held the role of Machine Learning Engineer before being promoted to R&D Team Leader in June 2022.

Dorotea Jalušić completed their Bachelor's degree in Mathematics from the Department of Mathematics at the University of Zagreb, from 2014 to 2017. Dorotea then pursued a Master's degree in Applied Mathematics from the same university, from 2017 to 2020.

During their education, Dorotea also attended the Scuola Matematica Interuniversitaria in 2017, where they studied Statistics and Game Theory.

In terms of additional certifications, Dorotea obtained a Deep Learning Nanodegree Graduate certificate from Udacity in May 2020. Dorotea also received various certificates from Coursera, including "NVIDIA DLI Certificate – Fundamentals of Accelerated Computing with CUDA Python" in September 2020, "Neural Networks and Deep Learning" in November 2020, "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" in February 2021, and "Structuring Machine Learning Projects" in March 2021.