Bartosz Błażejewski
About Bartosz Błażejewski
Bartosz Błażejewski is a Data Engineer with extensive experience in data engineering, machine learning, and software development. He has worked at various companies, including Numbrs and DaftCode, and currently serves as a Data Engineer at Unit8 SA in Zurich, Switzerland.
Work at Unit8
Bartosz Błażejewski has been employed at Unit8 SA as a Data Engineer since 2020. His role involves utilizing his expertise in data engineering to contribute to various projects. He works in Zurich, Switzerland, where he applies his skills in DevOps, Machine Learning, and AI to enhance data-driven solutions.
Previous Experience in Data Engineering
Prior to his current position, Bartosz worked at Numbrs in multiple roles. He served as a Senior Software Engineer for eight months in 2018 and as a Big Data Engineer for one year from 2019 to 2020. Additionally, he held the position of Software Engineer for ten months from 2017 to 2018. His experience at Numbrs allowed him to develop strong collaboration skills with both technical and non-technical stakeholders.
Background in Machine Learning
Bartosz Błażejewski worked as a Machine Learning Engineer at DaftCode from 2014 to 2017. During this time, he gained valuable experience in machine learning technologies and practices. He also contributed to increasing the development speed of high-quality machine learning solutions through MLOps.
Education and Expertise
Bartosz studied Computer Science at the University of Warsaw, where he earned both his Bachelor's degree from 2011 to 2014 and his Master's degree from 2014 to 2016. His academic background provides a strong foundation for his expertise in data engineering, machine learning, and AI. He has specific experience using Palantir Foundry for data engineering projects.
Authorship and Contributions
Bartosz has authored content focused on MLOps, highlighting the importance of not only training the best model but also ensuring effective deployment and management of machine learning solutions. His insights contribute to the ongoing discussions in the field of machine learning and data engineering.