• Improvement of Lane Detection and Lane Departure Warning System.
• Training and tuning of various ML-algorithms for hard scenarios.
• Increasing final availability of Lane Detection to >96% (92% required by customer).

• Custumized VGG16 neural network into a FCN to identify a road on the image.
• Trained on Kitti Road dataset

• Development of a mobile application for video life blogging with VR and AR elements.
• Build Algorithms usig Machine LEarning for face/body detection and tracking up to 4m with smart-phone camera.
• Image stitching to panorama from video frames.

• Build and trained a deep neural network using TensorFlow,
  able to distinguish 43 different traffic sign types.
• Final model had 90% accuracy after few hours.
• Dataset: URL on request
• section=gtsrb&subsection=dataset

• Build and trained a deep neural network using Keras, which is able to predict steering angle.
• Final model successful keep the car on track whole time in the simulator.

• Setup multiple learning-management-systems (Canvas LMS, Open edX).
• Jupyter notebook integration.
• Setup infrastructure with Docker.

URL on request

• Integration of various payment and user verification gateways (Sofort, Skrill, Jumio and IDNow).
• Development of a test environment.
• cubits.com

• Web application front- & backend development.
• Writing software tests.
• URL on request

• Front- & backend development for an Intranet application.
• Design and development of different software modules.
• URL on request