19.05.2025 aktualisiert
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Machine Learning and Embedded Systems Engineer
Mannheim, Deutschland
Weltweit
Master of Science in Communication and Media EngineeringSkills
Künstliche IntelligenzSoftware für Optische ZeichenerkennungKünstliche Neurale NetzwerkeMicrosoft AzureBash ShellTelekommunikationC++Cloud ComputingBildanalyseContinuous IntegrationDatenstrukturDevOpsEmbedded SystemsBildverarbeitungPython
Machine Learning and AI
Expertise in developing AI environments, implementing neural networks, and applying machine learning techniques for various applications including network auto-configuration and retail product classification.
Embedded Systems Development
Proficiency in working with embedded systems, including real-time communication systems, RTOS implementation, and experience with hardware platforms like NXP FRDM and STM32 Nucleo.
Network Protocols and Communication
Strong knowledge of network protocols, including TSN, OPC UA, MQTT, and experience in optimizing network performance and implementing communication systems in industrial settings.
Programming Languages
Proficiency in Python, C/C++, Qt, SQL (MySQL, MongoDB), and Bash scripting for diverse software development tasks.
Software Development Practices
Experience with object-oriented design, data structures, and version control systems like Git for efficient software development and collaboration.
DevOps and Cloud Technologies
Familiarity with Azure, Azure IoT Hub, Docker, and CI/CD pipelines for cloud-based development and deployment.
Image Processing
Skills in image clustering, segmentation, stitching, OCR, and edge detection techniques for advanced image analysis applications.
Expertise in developing AI environments, implementing neural networks, and applying machine learning techniques for various applications including network auto-configuration and retail product classification.
Embedded Systems Development
Proficiency in working with embedded systems, including real-time communication systems, RTOS implementation, and experience with hardware platforms like NXP FRDM and STM32 Nucleo.
Network Protocols and Communication
Strong knowledge of network protocols, including TSN, OPC UA, MQTT, and experience in optimizing network performance and implementing communication systems in industrial settings.
Programming Languages
Proficiency in Python, C/C++, Qt, SQL (MySQL, MongoDB), and Bash scripting for diverse software development tasks.
Software Development Practices
Experience with object-oriented design, data structures, and version control systems like Git for efficient software development and collaboration.
DevOps and Cloud Technologies
Familiarity with Azure, Azure IoT Hub, Docker, and CI/CD pipelines for cloud-based development and deployment.
Image Processing
Skills in image clustering, segmentation, stitching, OCR, and edge detection techniques for advanced image analysis applications.
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Developed machine learning solutions for network auto-configuration in time-sensitive networks, including IPC bridge implementation and GCN-CNN fusion policy networks.
Worked on embedded and industrial networks, developing real-time communication systems and optimizing network performance using RTOS and TSN switches.
Maintained website and GitHub repositories, focusing on multilingual accessibility and managing institutional Git workflows.