Viktor – Python, Next.js, React

A production mobile application for Austria’s public healthcare services, providing end users with digital access to healthcare-related services, including e-card emulation and administrative tasks. The product enables users to manage essential healthcare services digitally through a mobile application, improving accessibility and convenience.

• Developed and maintained features for MeineÖGK App (200k MAU, >1M downloads).
• Worked in a high-security, regulated environment with structured QA and release processes.
• Implemented UI components and navigation flows based on product and design requirements.
• Debugged and resolved mobile application issues in both development branches and release builds.
• Collaborated with cross-functional teams including backend, QA, product, and design.
• Contributed to app stability, maintainability, and performance.
• Worked with mobile deployment and release tooling, including EAS.

An analytics and forecasting application for small and medium-sized businesses, providing energy consumption data for analysis and decision support. The product combines data processing, time-series forecasting, and backend services to help businesses better understand and forecast their energy consumption.

• Built backend services for time-series energy data.
• Developed forecasting pipelines using Python and Prophet.
• Worked with PostgreSQL for storing and querying energy consumption data & forecasts.
• Implemented API functionality with FastAPI.
• Containerized application components using Docker.
• Worked with cloud-based infrastructure on AWS.

An AI-powered image search and user-generated content platform combining mobile and web applications with backend services and machine-learning-based visual search. The product enables users to upload images, discover visually similar content, and explore an open exhibition guide through image-based search powered by object detection, embeddings, and vector similarity search.

• Built and deployed the mobile and web applications.
• Developed a machine-learning-based reverse image search system (object detection, image embeddings & vector similarity search).
• Implemented backend microservices with Python and FastAPI.
• Built search functionality, including autocomplete/typeahead.
• Worked with MongoDB, Elasticsearch, Qdrant, and file storage via NFS.
• Developed and maintained data and image-processing workflows.
• Containerized and deployed application components using Docker and Kubernetes.
• Operated cloud infrastructure on DigitalOcean.

An enterprise anomaly detection application for identifying unusual patterns in operational and business data. The product combines backend services with machine-learning functionality to help identify abnormal behavior and support analysis of potential issues in business operations.

• Developed backend services for an anomaly detection application.
• Worked with Python, Flask and PyTorch.
• Supported integration of machine-learning functionality in the web application.
• Used Docker for containerized development and deployment.
• Worked with Azure.
• Wrote and maintained tests and code-quality checks using pytest and pylint.

A custom analytics and forecasting application for enterprise data, providing data workflows, forecasting capabilities, and interactive visualizations for business analysis and decision-making. The product enables users to explore enterprise data, identify trends, and use forecasts to support informed decisions.

• Built a custom analytics and forecasting application.
• Developed forecasting functionality using Python and statsmodels.
• Worked with Pandas and NumPy for data processing and analysis.
• Created interactive visualizations with Bokeh.
• Used Docker for containerized development and deployment.