COMPREDICT
Wassim Ben Salem has a diverse work experience in various roles and companies. Wassim started as a Tour Area Calculation role at GLS Germany GmbH & Co. OHG from October 2019 to April 2020 where they implemented a web-based geographic information system. Wassim then worked as a Bachelor Thesis student at Technische Universität Darmstadt from April 2020 to October 2020, studying visual attention and eye movements.
Wassim continued their education at Technische Universität Darmstadt and became a Student Assistant from February 2021 to April 2021, implementing a GUI for an electronic device used in medical treatments. Wassim also briefly served as a Student Assistant in May 2021, responsible for implementing a UI that captures data and records movements using a webcam.
In 2020, Wassim worked at Merck KGaA, Darmstadt, Germany as a Working Student in IT Advanced Data Analytics from February 2020 to October 2021. Wassim supported software development of a data catalog application and explored Linux-container technology.
Wassim then joined Capgemini as a Working Student in Software Engineering from November 2021 to April 2022. There, they participated in the development of a web application for an international automotive manufacturer using Angular and Java Spring.
Currently, Wassim Ben Salem is a Working Student in ML/DevOps at COMPREDICT GmbH since May 2022. In this role, they are involved in implementing models for clients and testing model generalization in an unsupervised manner.
Wassim Ben Salem has an education history that includes a High School Diploma in Mathematics from Collège SADIKI, which they obtained from 2009 to 2016. Wassim then pursued further studies in Computer Science at Technische Universität Darmstadt, where they earned a Bachelor of Science (BS) degree from 2017 to 2020. Wassim continued their academic journey at the same institution to pursue a Master of Science (MS) degree, which they are expected to complete between 2021 and 2023.
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.