Muhammet Uslu is an Industrial PhD candidate at CARIAD SE, the software division of the Volkswagen Group, where he focuses on next-generation automotive software development.

He has gained hands-on experience in applied machine learning and embedded systems through roles at leading research and industry institutions. At Bosch Research in Stuttgart, he worked on energy efficiency and latency estimation of machine learning compilers using tools such as Tensor Virtual Machine (TVM). Prior to this, he contributed as a working student at Fraunhofer IIS, focusing on deep learning, neuromorphic computing, and quantization-aware training.

Earlier in his career, Muhammet completed internships at Valeo Siemens eAutomotive and Aptiv, where he worked on hardware development for electric vehicle systems and system engineering processes.

He holds a double Master’s degree in computational science and engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg and Università della Svizzera italiana. He previously earned his Bachelor’s degree in Electrical and Electronics Engineering from Çukurova University in Türkiye.