Ewa Juralewicz
About Ewa Juralewicz
Ewa Juralewicz is a Senior Machine Learning Engineer at Kalepa, where she has worked since 2023. She has a background in AI and machine learning, with previous roles at EY and Codedose, and holds degrees in Computer Science from Wroclaw University of Science and Technology.
Work at Kalepa
Ewa Juralewicz has been employed at Kalepa as a Senior Machine Learning Engineer since 2023. In this role, she utilizes her expertise in machine learning to develop and implement advanced algorithms and models. Prior to her current position, she worked at Kalepa as a Machine Learning Engineer from 2022 to 2023, contributing to various projects that enhanced the company's capabilities in data analysis and predictive modeling.
Previous Experience at EY
Ewa Juralewicz held multiple positions at EY, where she worked from 2019 to 2022. She served as a Senior AI/ML Implementation Engineer for two years, focusing on the integration of artificial intelligence and machine learning solutions. Following this, she took on the role of AI/ML Implementation Technical Leader, Supervising Associate for nine months, where she supervised teams and managed technical implementations. Additionally, she worked as an AI Technical Lead for Platform for nine months in 2021.
Background in Software Development
Before her tenure at EY, Ewa Juralewicz worked as a Software Developer at Codedose from 2017 to 2018. In this position, she gained valuable experience in software engineering practices and contributed to the development of software solutions. Earlier in her career, she also worked as a Product Structure Management Working Student at Nokia from 2016 to 2018, where she supported product management processes.
Education and Expertise
Ewa Juralewicz studied at Wroclaw University of Science and Technology, where she earned her Magister (Mgr) degree in Informatyka in 2019, following her Inżynier (Inż.) degree in the same field in 2018. Her educational background provides a strong foundation in computer science and engineering principles, which she applies in her professional roles within machine learning and artificial intelligence.