• Design, develop, and maintain scalable backend services and cloud-integrated systems using Kotlin (Spring Boot) and TypeScript (Node.js)
• Implement robust APIs, caching, and messaging with technologies such as Firebase, Redis, Pub/Sub, and PostgreSQL
• Ensure reliability and performance through comprehensive integration and unit testing (JUnit, Jest, Mockito)
• Automate deployment and infrastructure with Terraform and Docker

• Development of a Website and Backend service to manage HDRi Backgrounds
• The Website enables access to the client?s asset library
• Users can access the assets via search functionality, purchase the asset and download it on successful purchase
• The platform is a cloud native development in AWS consisting of mainly Lambda functions to provide all functionality
• Main responsibilities are the importing and processing of asset data into the system via an import pipeline which moves the files to the correct locations, renaming them, read keywords from file metadata (EXIF/IPTC), generating thumbnails and creating an entry in DynamoDB
• Furthermore, implementation of subscription handling via Stripe-API as well as consuming necessary events to handle all error cases that might occur or are not desired

• Part of the development and maintenance of a NodeJS-based backend application, delivering Key Performance Indicator (KPI) information to clients. The application extracts KPIs from the database, refines and aggregates them within the system. Enabled authenticated frontend applications to request data via REST and display responses through intuitive diagrams and charts
• Key responsibilities included establishing a robust Unit- and Integration-Tests pipeline for the system. Conducted strategic refactoring to enhance testability and simplify the system in adherence to the KISS (Keep It Simple, Stupid) principle. Implemented new features in an agile environment

• Development and Maintenance of a Vehicle Information System. The System is importing streaming vehicle data via Kafka, it is refined via business logic so that unnecessary data is not persisted, and the dataset are sent to a third-party application. The third-party application creates vehicle images based on the dataset. The generated images are saved back into the system
• Part of the project was to develop a new streaming integration from Kafka so that the previous long polling solution is replaced. Technical challenges were the persisting of the streaming data without flooding the third-party application due to faster consumption of streaming data and slower processing of images by the third-party application

Consultancy and development of the Business Process Models

• Business process analysis to detect missing but required information in tooling and communications between departments in a company
• Furthermore, description of the business processes with BPM diagrams

• Architecture & Development of a cloud native platform to generate high quality imagery in the web-browser. Pre-generated 3D assets are provided on the platform, so users can make use of the assets to generate 2D high quality images from it via VRay rendering engine in AWS Cloud. Users can see a preview image streamed to their browser via web sockets
• The platform is built as a cloud native application in AWS and makes use of application load balancers and EC2 instances. The instances are scaled on demand, so that in case of higher user load, they are provided with additional streaming instances. The highquality images are batched in a queue and worked on by a dynamic amount of EC2 instances

• Development of REST-MicroService in NodeJS of a Vehicle Inventory System, which displays the number of Vehicles and their metadata for Site-Administrators
• Furthermore, consummation of external APIs as well as providing Webhooks for external consumers was implemented

• Development and maintenance with PHP for smaller E-Commerce applications. Development of a Product Information Management (PIM) system in C#, utilizing RESTAPIs and an AngunlarJS frontend
• Development of a Newsletter lay outing tool with NodeJS and Electron, which helps users set up newsletters by dragging and dropping UI-components in a UI