REFERENCES

MACHINE LEARNING (ML)

Industry: Electronics - company size: <2.400

Project content:

Design and development of a deep learning based sky/cloud classification system.

Technologies & methods:

Keras/Tensorflow, Python, AWS Cloud

Industry: Automotive - company size: <20.000

Project content:

Design and implement advanced CNN architectures and models based on a huge number of Images for Shop Floor Control. Evaluate Deep Learning Architectures, Performance Optimization of Deep Learning Models.

Technologies & methods:

Image segmentation, Image classification, Anomaly detection, Video Analysis, Tensorflow and Keras with GPU (NVIDIA), Hadoop, GPU, PyCharm

Industry: Retail - company size: <3.000

Project content:

Design, implement and optimize complex Machine Learning Systems for Online Marketing / eCommerce.

Technologies & methods:

Hive, Spark, Python, Deep Learning, K-Nearest Neighbors (KNN), SVM, Kernel SVM, Logistic Regression

Industry: Media - company size: <5.500

Project content:

Deep Learning (NLP and image/video processing).
Software development and consulting regarding different services of an image mining software, Extractive Text Summarization/Image Captioning, (Human) Action Recognition, Object Detection.

Technologies & methods:

Python, TensorFlow, Kerasa, sk-learn, OpenCV, CNN