COMPREDICT
Agata Aleksandra Rubacka has work experience as a Fullstack Software Developer at COMPREDICT GmbH since August 2021. In this role, they collaborate closely with the team to implement and improve features of the Django based application, working on both the backend and frontend sides. Previously, they worked as an Intern at Data Solutions in Solactive AG from September 2020 to August 2021. In this position, Agata worked on Python based scripts and applications in the Data Solutions team, applying SOLID principles when designing applications and thoroughly testing their code.
Agata Aleksandra Rubacka's education history includes several courses from renowned institutions. In 2019, they completed the "Introduction to Computer Science and Programming with Python" course at MITx. The following year, in 2020, they pursued further studies in web programming and Python research at HarvardX, completing courses titled "Web Programming with Python and JavaScript" and "Using Python for Research", respectively. In 2021, they engaged in "Machine Learning with Python: A Practical Introduction" course offered by IBM on edX. Although the degree names are not specified, Agata Aleksandra Rubacka's educational pursuits demonstrate a keen interest in computer science, programming, web development, research, and machine learning with Python as their chosen field of study.
COMPREDICT
COMPREDICT‘s virtual sensors and health & usage monitoring provide unique insights of vehicle usage and behavior without additional hardware for all sectors of mobility. Our solution is currently used in applications with 2 up to 18 wheel vehicles – and even trains. The virtual sensors measure the real dynamic behavior of components likesteering, brakes, powertrain and battery, regardless of whether the vehicle is a prototype or a series product, for a single vehicle or an entire fleet. We close the feedback loop between product development, in-use behavior or fleet management and service operations. With COMPREDICT, optimized component design and maintenance allow our customers to reduce weight, CO2 emissions and environmental impact over the whole product lifecycle.