07.12.2024 aktualisiert
100 % verfügbar
Software Dev: Python, Java, C++. Deep learning, scalable systems, cloud, finance & quant.
Emden, Ostfriesland, Deutschland
Weltweit
Master of Science in Aerospace EngineeringSkills
JavaGeoinformationssystemKünstliche IntelligenzData AnalysisArchitekturdesignUNIXC++DatenbankenContinuous IntegrationLinuxDevopsInfrastrukturPythonPostgresqlMatlabMachine LearningMysqlSystementwicklungs-LebenszyklusTensorflowRoboticsSemantikSimulationenSimulinkSoftware-BereitstellungSqliteSQLDatenverarbeitungPytorchDeep LearningDrohnenKerasEchtzeitdatenSoftware Version ControlDockerProgramming Languages
Data Processing Systems
Architecture design and implementation of real-time data processing systems for high-rate sensor data, particularly in Earth observation and drone-based infrastructure inspection.
Programming Languages
Advanced proficiency in C++, Java, Python, and SQL, with practical experience in UNIX/Linux environments for complex system development.
Earth Observation Data Processing
Strong background in processing and analyzing Earth observation data, including experience with Sentinel-2 imagery and mining site segmentation using deep learning techniques.
DevOps and CI/CD
Expertise in DevOps practices using Docker, CI/CD pipelines, and version control systems for efficient software deployment and management.
Database Systems
Extensive experience with database systems including PostgreSQL, MySQL, and SQLite, particularly in handling geospatial data.
Machine Learning and AI
Implementation of deep learning models using frameworks like PyTorch, TensorFlow, and Keras for Earth observation data analysis and semantic segmentation tasks.
Robotics and Simulation
Proficiency in robotics frameworks and simulation tools including ROS, Pixhawk, MAVLink, MAVSDK, Gazebo, and MATLAB/Simulink.
Architecture design and implementation of real-time data processing systems for high-rate sensor data, particularly in Earth observation and drone-based infrastructure inspection.
Programming Languages
Advanced proficiency in C++, Java, Python, and SQL, with practical experience in UNIX/Linux environments for complex system development.
Earth Observation Data Processing
Strong background in processing and analyzing Earth observation data, including experience with Sentinel-2 imagery and mining site segmentation using deep learning techniques.
DevOps and CI/CD
Expertise in DevOps practices using Docker, CI/CD pipelines, and version control systems for efficient software deployment and management.
Database Systems
Extensive experience with database systems including PostgreSQL, MySQL, and SQLite, particularly in handling geospatial data.
Machine Learning and AI
Implementation of deep learning models using frameworks like PyTorch, TensorFlow, and Keras for Earth observation data analysis and semantic segmentation tasks.
Robotics and Simulation
Proficiency in robotics frameworks and simulation tools including ROS, Pixhawk, MAVLink, MAVSDK, Gazebo, and MATLAB/Simulink.
Sprachen
DeutschgutEnglischMuttersprache
Projekthistorie
Led development of complex data processing systems for infrastructure inspection, achieving significant improvements in processing efficiency and system reliability.
Developed Earth Observation Data Processing and Algorithm Development for Large-Scale Mining Sites Segmentation using self-supervised learning techniques.
Developed Earth Observation Data Processing System for Chilean Mining Sites' Dataset and implemented semantic segmentation tasks.