06.11.2024 aktualisiert
100 % verfügbar
Masters in software engineering
Marchtrenk, Österreich
Österreich
computer scienceSkills
Künstliche IntelligenzInnovationsmanagementPythonMachine LearningTensorFlowSoftwareentwicklungData SciencePyTorchTechnisches GeschickProgramming Languages
I am currently a Research Engineer at Silicon Austria Labs GmbH in Linz, where I have developed
extensive expertise in machine learning and software engineering by designing and deploying AI solutions
for a wide range of industrial applications. My technical skills include proficiency in programming languages
such as Python and expertise in machine learning frameworks like PyTorch and TensorFlow. Committed
to continuous learning and staying up to date with the latest advancements in machine learning and data
science, I am eager to contribute innovative solutions to complex challenges.
extensive expertise in machine learning and software engineering by designing and deploying AI solutions
for a wide range of industrial applications. My technical skills include proficiency in programming languages
such as Python and expertise in machine learning frameworks like PyTorch and TensorFlow. Committed
to continuous learning and staying up to date with the latest advancements in machine learning and data
science, I am eager to contribute innovative solutions to complex challenges.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2024
Sprachen
DeutschMutterspracheEnglischMuttersprache
Projekthistorie
Led the annotation and curation of a large-scale dataset to ensure high-quality data for deep learning model training.• Developed drowsiness detection methods using deep CNN architectures (VGG, DenseNet, AlexNet, ResNet).
Applied transfer learning techniques to effectively train models on limited real-world data.
Applied transfer learning techniques to effectively train models on limited real-world data.
Developed automated data acquisition systems for capturing the fast moving steel bars.
Designed classification models using ResNet architectures for structural anomaly detection.
Implemented edge detection methods for profiling and weight estimation of steel bars
Designed classification models using ResNet architectures for structural anomaly detection.
Implemented edge detection methods for profiling and weight estimation of steel bars