Konrad M.

Konrad M. has a diverse work experience in various roles and industries. Konrad started their career as an Engineer at the Engineering Design Center in 2015. In 2016, they worked as a Data Scientist at TUATARA and then as a Java Developer and CFD Engineer at Warsaw University of Technology.

In 2017, Konrad joined EY where they had multiple roles including Senior Analyst, where they were responsible for the development and deployment of data platforms and pipelines, building AI models, and integration and deployment. Konrad also had an internship at EY's IT Risk and Assurance team, working on IoT/OT sector projects focused on data modeling, machine learning, and AI applications.

After leaving EY, Konrad joined BERA Systems in 2017 as a Software Developer Project Lead. In this role, they led project development and worked as a software developer.

Most recently, Konrad joined Cerebre in 2020 as a Senior Software Engineer. Their current role focuses on software engineering and development.

Konrad M. began their education journey in 2012 at the Warsaw University of Technology, where they pursued a Bachelor's degree in Aerospace Engineering, specializing in Aircraft Engines. Konrad completed this program in 2016.

Following their Bachelor's degree, Konrad enrolled in the Master's degree program at Warsaw University of Technology. From 2016 to 2017, they focused on Aerospace Engineering, with a particular emphasis on Aircraft Engines.

In 2017, Konrad began their doctoral studies at the Warsaw University of Technology. Konrad is currently a PhD student, specializing in the Engineering Applications of Artificial Intelligence. Their anticipated completion date for the PhD program is in 2022.

In addition to their formal education, Konrad has also pursued various certifications to enhance their knowledge and skills. Konrad obtained a Siemens NX Certificate from Warsaw University of Technology, although the specific month and year are not provided. Konrad has also completed several online courses through Coursera, including certifications in Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Functional Programming in Scala Specialization, Neural Networks and Deep Learning, Functional Programming in Scala Capstone, Big Data Analysis with Scala and Spark, Parallel programming, Functional Program Design in Scala, and Functional Programming Principles in Scala. These certifications were obtained between 2016 and 2018.