David Machajewski

Consulting IoT and Smart Buildings Configuration/Implementation of Digital Twins of Buildings and their Sensor Networks Programming Python JavaScript CSS HTML Microsoft Power BI BPMN Automatisierung (Automa & Selenium) Pre-Sales Activities Holding Presentations and Workshops ... and a lot of other stuff a start up needs to be done in marketing, sales and product.

After my Thesis "Facial Expression Recognition using class specific additional information" I started to continue working on affect recognition as working student and tested a lot of Object Detection Frameworks and programmed a code base for classifying emotions/sentiment in images and videos based on visual, audio and textual data.

In this position I have been programming and applying machine learning methods like support vector machines or boosted trees from sklearn and xgboost on tabular data created by graph algorithms like the Albert Barabasi Modell for scale free networks ( graphs ) to compare such methods against other self defined generative algorithms from the departement.

Nebenberufliches Studium

Thesis: Facial expression recognition using additional class-specific information Implementierung von State-of-the-art-Architekturen neuronaler Netzwerke für automatisierte Emotionserkennung in Gesichtern und die Evaluierung mittels u.A. Gradientenbildern (Grad-CAM's) für vertrauenswürdige künstliche Intelligenz (trustworthy AI).Implementierung PyThon TensorFlow PyTorch Sklearn OpenCV TensorBoard Pandas ...