Saad Kamal Mustafa

"Optimization of Production Quality & Productivity in AM using Machine Learning" • Industrial IOT for the collection of data • Data analysis & Machine learning (regression and clustering) for cooling trends of 3D prints with Python (sci-kit learn, Numpy, Pandas, Matplotlib) - (Patent and Publication) • Data visualization with Power BI • NodeRED Dashboards • Development and maintenance of a cross-departmental Inventory tool for logistics in Python (Tkinter) with SQLite database.

• Configuration of jobs, Building Pipelines(Pipeline as a code) in Jenkins with BitBucket and automating Tests • Configuration of Build systems and build tools, e.g. Maven, Jenkins, Docker, OpenShift and JDK • REST API Development & Testing (JAVA) with PostgreSQL database. • Project Management, day to day progress tracking with JIRA following Agile SCRUM • OpenShift (Docker & Kubernetes) with Prometheus, Grafana for analysis and tracking errors. • Supporting Development in JavaEE.

Electrical Engineering and Information Technology with focus on Automation Technology.

Physics (A*), Mathematics (A), Chemistry (A), Further Mathematics (C)