Konstantinos Loizas

- Contributed to the first major FOSS project of Mercedes Benz AG, the DnA platform - Implemented a holistic MLOps pipeline by designing and developing secure and production-ready versions of existing open-source, Kubernetes-native tools, such as Kubeflow - Reduced the technical debt between Data Scientists and Software Engineers, eliminated their interdependencies, and enhanced the user experience in a simple, transparent, compliant to data privacy regulations, and free of cost way

- Safety occurrences investigation, root cause analysis, risk assessment - Responsible for the EASA regulation compliance of 6 Flight Simulating Training Devices - Auditor in Flight Training Simulator Devices Department

Diploma thesis: Redesign of Professional Machine Learning Platform Based on an Open-Source and Kubernetes-Native MLOps Pipeline to Reduce the ML-Systems Technical Debt Grade: 1.1

Diploma thesis: A Time Class Schedule Genetic Algorithm Grade: 7.79/10