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Debeka and TH Koeln Fullstack Engineer tasks description
Key Achievements:
TH Köln:
✅ Conducted research in Machine Learning and Deep Learning using Keras, Scikit-Learn, and TensorFlow 2 (2 months after release), leveraging own NVIDIA GPU with 8GB and Google Colab.
✅ Developed a Deep Learning Toolchain for DNN modeling and evaluation, including preprocessing, CNN modeling with custom layers, multi-architecture training, fine-tuning, evaluation and Deep Feature Extraction with SVM, achieving state-of-the-art performance.
✅ Deployed a neural network on a mobile device using TensorFlow Lite and Android Studio.
✅ Implemented image preprocessing with OpenCV, utilizing multiple color spaces, PCA, and ZCA.
Debeka:
✅ Worked on SaaS solutions in the InsurTech sector.
✅ Automated client workflows using Selenium
✅ Regression testing and parameter testing for Domain-Driven Design
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