Contributed to the migration of a Data Warehouse C# desktop application to a web-based platform. The frontend was developed using Angular 18, incorporating Material UI and NgRx. The backend was designed as a microservices architecture, utilizing Spring Boot, Hibernate, and Solr, with authentication based on Active Directory (AD). I developed reusable UI components and transitioned workflows along with their associated masks to the new platform, including the necessary backend endpoints. Additionally, I contributed to the deployment of the frontend on Azure Kubernetes Service (AKS) using Helm.

Since joining Infolytics AG in 2018, I have worked on the Signal Data Platform (SDP), an IoT solution for managing high-volume sensor data. This project is developed in collaboration with the German Aerospace Center (DLR) for the Deutsche Forschungsplattform für Windenergie (DFWIND) research project. I contributed to both the C++ and Java backend as well as the frontend using jQuery, enabling real-time data access, aggregation storage, and data export for analytical purposes. Since completing my bachelor's degree, I have been the primary person handling all feature requests and bug fixes!

Successfully migrated an existing AutoML pipeline from the AIxCell project led by the Fraunhofer IPT to the Oracle Cloud Infrastructure (OCI), specifically utilizing their fully managed Kubernetes cluster service "Container Engine for Kubernetes" (OKE). My primary task involved analyzing their local setup and migrating it to Kubernetes, enabling the execution of machine learning pipelines as tasks on suitable hardware while developing the surrounding business processes.

I added the functionality of image upload and integrated image annotation through Label Studio into their existing React application. Additionally, I developed a RESTful service that managed the execution of the AutoML pipeline on the cluster and reported results back to the frontend, where users could verify the outcomes.