Developing key features of document management system (based on Alfresco ECM) for the Österreichische Gesundheitskasse (ÖGK) (Java, Angular, TypeScript, SQL, REST, Scrum)

Created user interface and backend code for sophisticated protocol behavior of the ECM-AWF system together with the protocol squad

Performed code refactorings to enhance code, wrote unit and integration tests and code drafts

Completed internal quality system reviews and product releases

Completed internal AI use-case study on how to better automate workflows

Project Data Model Redesign & Stabilization Offensive

Making E.ON Data Model Multi-Org capable

?E Wie Einfach? (EWI) to integrate data model into E.ON data model (gap analysis and target design)

Coordination with internal stakeholders on the topic

Document architectural differences between E.ON Data and EWI Data Model

Developed anomaly detection with autoencoder (neural network) in Python including Explainable artificial intelligence (XAI) module running as a microservice in a Docker container for high scalability (Python, Keras, TensorFlow, REST, Docker). The aim was to find out from log files with network data whether something is abnormal. For example, user A logged in incorrectly 10 times in a row over the weekend ? that would be an example of a possible anomaly which the AI then tries to detect. The system is trained beforehand with normal network data of, for example, a time window of one month

Worked on alarm time series forecasting for predictive maintenance using a preexisting database in cooperation with the Austrian Mineral Oil Administration Stock Company (OMV) using different AI approaches (Python, Keras, TensorFlow, LSTM)

Developed natural language processing (NLP) module for fact extraction for Digital Knowledge Butler project in cooperation with the Austrian Federal Computing Centre (BRZ) (Python, SpaCy, GerIE)