Projects

The project involves analyzing and automating service requests. For this purpose, 3.5 years of data are exported from an issue tracking tool and analyzed. [...]

Quality assurance plays a central role in the development and implementation of AI-based algorithms in medical technology. In this project, it is ensured that a developed algorithm works as expected, that no unwanted errors occur and that the results are of the appropriate quality. In addition, it is checked that no sensitive data is leaked and that no conclusions can be drawn about the used training data. [...]

As part of this project, an application for Retrieval Augmented Generation (RAG) was developed. The aim of the application is to enrich Large Language Models (LLMs) with company-internal data in order to provide more precise and context-relevant answers to queries. Modern technologies such as Haystack, AWS, and Qdrant were used for this purpose. [...]

A Security Information and Event Management (SIEM) system based on open source components is being developed for a public administration. The SIEM system offers a similar range of functions to Splunk, QRader or Arcsite. The development and deployment must meet the requirements of BigData. The application must be able to accept various log formats, normalize them and enrich them if necessary. It must then be possible to analyze the logs in an OpenSearch dashboard. In addition to the actual application, the SIEM must also be able to be monitored via applications such as Prometheus and Grafana. [...]

In this project, an MLOps platform was implemented with ClearML to efficiently manage the complete lifecycle of machine learning models. ClearML was chosen because it has all the necessary features to create a robust and flexible MLOps environment. Key features include experiment tracking, a model registry, model serving, remote training, hyperparameter optimization, and additionally is it open source. [...]

In this project, an AI-based system was developed to recognize stamps in PDF documents. The process consisted of two main steps: First, the stamp was localized in the document, then the stamp was identified. This two-step approach enabled precise and efficient processing of PDF documents, especially for applications in document management and the automation of administrative processes. [...]

As part of this project, an AI-based question-and-answer system was developed that is specifically tailored to the Residence Act. The system enables users to ask questions about legal texts and receive suitable answers in the form of relevant text excerpts from the legal texts and associated documents. The project is therefore part of Natural Language Processing (NLP), as natural language is processed. [...]

In this project, an augmented reality (AR) system was developed for port logistics. The aim of the system is to identify containers through object recognition and to read out relevant information such as container number (BIC), weight and capacity. By using Computer Vision and Deep Learning, an automated solution was developed that significantly improves the process of container identification and classification. [...]

In this project, a platform for the automated analysis of PDF documents was developed. The platform offers a variety of processing and analysis options that allow large volumes of documents to be analyzed and classified efficiently. The development focused on modern machine learning methods, natural language processing (NLP) and the creation of a knowledge graph. [...]

In this project, an application was developed to predict the utilization of parking spaces in Melbourne’s central business district (CBD). The aim of the application is to use machine learning to predict the availability of parking spaces for different times of day. This should help drivers to find a parking space more efficiently. The prediction in Melbourne served as a proof of concept to demonstrate the general feasibility. [...]

In this project, an application was developed to optimize the allocation of trucks to loading ramps. The goal of the application was to increase the efficiency of loading operations by optimizing the assignment of trucks to available ramps based on various factors such as arrival time and preparation time. [...]

As part of my master’s thesis in Informatics with a focus on intelligent systems (data science), a novel concept for the autonomous control of swarms of drones was investigated. The aim of the thesis, entitled “Graph-based reinforcement learning for collaborative motion prediction of drones”, was to control several drones in a swarm in such a way that they navigate autonomously to a target point while avoiding collisions. [...]

As part of a consulting project, data visualization and data analysis were developed for university surveys. The main task was to analyze survey data and visualize it clearly in PowerBI in order to create meaningful reports. In addition, a training course was held for one employee so that he could learn how to use PowerBI and analyze the data independently. [...]

As part of a project, an application for classifying vehicles according to model and brand was developed. In addition, an information retrieval system was integrated, which is based on the recognition results and retrieves relevant information from a vehicle database. The aim was to create a system that delivers precise detection results and displays them in a user-friendly app. [...]

As part of my bachelor thesis entitled “Template-based detection of viral structures in PAMONO data ”, an approach was developed that builds on an existing project for the detection of nanoscale particles. The aim of the work was to detect viral particles using various template-based methods in the image data of the PAMONO sensor. [...]