{IT / RPA Consultant}

• Developed automation solutions using Python and UiPath, achieving 80% reduction in manual effort with a goal to reach 99% automation
• Built and deployed RPA robots using UiPath Orchestrator, enabling seamless task automation and improving team productivity
• Collaborated with cross-functional teams to design and implement robust software solutions, improving system efficiency and client satisfaction
• Utilized Agile (SCRUM) to manage and deliver projects on time, ensuring continuous improvement and client alignment
• Employed version control with Git and GitLab, ensuring smooth collaboration and code integrity
• Leveraged VBA (Visual Basic for Applications) to automate complex and time-consuming Excel processes, significantly improving efficiency and accuracy

• Developed tools in Java and C++ to manage virtual machine connections, automating configuration, file upload, and data processing tasks
• Integrated JUnit for unit and integration testing, improving code quality and reducing bugs in production
• Collaborated in an Agile environment, using JIRA for issue tracking and sprint planning to meet project deadlines efficiently
• Streamlined development workflows with Jenkins and Maven for automated build, testing, deployment, and CI/CD pipelines
• Managed package dependencies using Maven-Nexus for efficient artifact storage and distribution
• Utilized Git and GitLab for version control and source code management, with occasional use of Sourcetree for enhanced git workflow visualization
• Proficient in VS Code and Eclipse for efficient coding, debugging, and project management across various programming languages
• Fostered team communication and collaboration through MS Teams, ensuring smooth project communication and coordination

• Automated data processing tasks using Python and VBA Excel, cutting processing time by at least 30%
• Developed and deployed RPA robots with UiPath, streamlining business workflows and improving task accuracy and efficiency
• Worked with Agile methodologies (SCRUM) to manage automation tasks, ensuring timely delivery and client satisfaction
• Collaborated remotely with teams via MS Teams and GitLab to ensure smooth communication and version control

• Developed tools in Java, Spring MVC, Spring Boot and JavaFX, optimizing internal processes for automotive clients such as Volkswagen AG
• Created database solutions with Oracle SQL and Flyway for seamless data management across multiple systems
• Implemented automated testing frameworks using JUnit and TDD principles, significantly reducing bugs before and after deployment
• Collaborated in an Agile environment, managing development cycles using JIRA for task tracking, Bitbucket for source control management, Bamboo for CI/CD, SonarQube for QA, Miro for digital team kanban board, Zoom and MS Teams for remote collaboration
• Used Confluence for documentation, ensuring that all project details were clearly documented and easily accessible to the entire team
• Managed project dependencies and packages using Maven Artifactory, ensuring smooth version control and efficient package distribution
• Leveraged IntelliJ IDEA and Eclipse as integrated development environments (IDE) to improve code quality and development speed
• Optimized client workflows by delivering customized software solutions on time, significantly improving operational efficiency

Supervisors: Prof. Dr. Andreas Rausch, Dr. Adina Aniculaesei

This project aimed to revolutionize autonomous drone flight by implementing a cutting-edge end-to-end (E2E) learning approach. Conducted within the AirSim simulation environment, the work achieved Level 4 autonomous navigation capabilities, integrating advanced spatial awareness, core navigation, and expanded features such as non-planar flight paths.

• Designed and implemented an autonomous drone navigation system using Python, TensorFlow, and AirSim simulation
• Achieved level-4 navigation capabilities, including spatial awareness and non-planar movement
• Delivered a scalable and efficient solution for drone navigation
• Unlike traditional modular methods, the E2E system directly learns the mapping between inputs and outputs, enabling seamless and efficient navigation in complex environments
• This innovative approach highlights a significant leap in autonomous aerial systems, setting the foundation for smarter and more adaptive drone technologies

Supervisors: Prof. Dr. Andreas Rausch, Dr. Adina Aniculaesei

This project focused on analyzing safety-critical systems, with a particular emphasis on drones. As inherently safety-critical systems, drone development demands adherence to specialized methodologies, rigorous safety standards, and tailored development processes.

• Conducted an extensive literature review on safety-critical systems, focusing on unmanned aircraft systems
• Analyzed and documented industry standards and laws for system development
• The work primarily involved an in-depth literature review of relevant standards, laws, and safeguarding practices associated with the design and development of unmanned aircraft systems
• By exploring the regulatory and technical frameworks, this study provides valuable insights into the processes necessary to ensure the reliability and safety of these advanced systems

Supervisors: Prof. Dr. Andreas Rausch, Arthur Strasser

This project centers on Model-Driven Software Development (MDSD), a cutting-edge approach to achieving highly automated software creation. The primary objective was to design and develop a customized tool that supports Model-Driven Architecture (MDA), a pivotal aspect of MDSD, by generating tailored software architecture models derived from a metamodel.

• Built an eclipse standalone tool to support Model-Driven Architecture (MDA) for customized software solutions
• Utilized Java, Eclipse, and UML to address architectural challenges in the automotive industry
• Addressed the limitations of standardized frameworks like the Unified Modeling Language (UML)—which often lack flexibility or prove overly complex for specific architectural challenges—the tool is designed to meet the unique demands of the automotive industry
• By automating critical development steps and delivering architecture solutions optimized for real-world needs, this work demonstrates innovation in streamlining software development processes while driving efficiency and adaptability in safety-critical industries

Supervisors: Benjamin Fischer, Yong Wang, Prof. Dr. Andreas Rausch

This project involved the development of a smart beer bar management system designed to enhance user experience and operational efficiency. The system allows users to log in, view personalized details such as beer consumption in liters, manage other users and their consumption data, and securely log out.

• Developed a cross-platform, real-time management system using C++, Qt, and SQLite, enabling seamless tracking of beer consumption, user data, and inventory
• Implemented user authentication and role-based access controls, ensuring data security and allowing different levels of user interaction (admin, user, guest)
• Optimized inventory management by automating consumption tracking, reducing manual efforts and providing real-time insights into stock levels and user behavior
• Built using C++, Qt, SQLite, and developed in Eclipse and Qt Creator on Ubuntu, the project demonstrates a seamless integration of modern technologies to create a user-friendly and efficient solution

Supervisors: Meng Zhang

This project focuses on developing an electric vehicle simulator to address key challenges such as range limitations and high costs associated with electric cars. The simulator enables users to simulate a trip and receive an evaluation of their driving performance upon completion.

• Designed and integrated an interactive driver-simulator module using Java and OpenDS, allowing users to simulate electric vehicle trips and receive detailed performance evaluations
• Implemented a feedback loop to analyze energy consumption and optimize trip performance, helping to improve electric vehicle efficiency and user experience
• Collaborated with a cross-functional team to ensure the simulator aligned with the real-world specifications of electric vehicles, enhancing the accuracy of results and simulations
• Divided into several sub-projects, this programming internship specifically involved the implementation of a driver-simulator interaction, built using Java

Supervisors: Meng Zhang

This project addresses the growing challenge of finding parking in crowded urban areas while contributing to the advancement of autonomous driving by automating parking management. The goal was to create a real-time parking management system that allows users to easily monitor the availability of parking spaces.

• Developed a real-time parking management application for Android, using Python, TypeScript, and Java, enabling users to find available parking spots based on sensor data and user input
• Integrated data visualization tools for users to easily view parking availability and reservation status, improving the overall user experience
• Streamlined communication with backend servers to ensure up-to-date and accurate parking lot status, allowing efficient management of parking resources in high-demand areas
• The system was built using Python, TypeScript, and Java (Android), showcasing expertise in mobile development, backend services, and sensor data integration for autonomous systems

Supervisors: Gerrit Burmester, B.Sc.

This project involved a comprehensive performance comparison between two leading NoSQL graph databases: Neo4j and ArangoDB. The objective was to assess the strengths and capabilities of each database to determine which offers superior performance for graph-based data management.

• Conducted performance benchmarking between Neo4j and ArangoDB, writing Python scripts to evaluate query efficiency and scalability under various real-world scenarios
• Analyzed and presented findings to stakeholders, providing actionable insights to optimize database selection for different types of graph-based applications
• Developed custom testing scripts to simulate data workloads, ensuring that performance metrics were relevant to industry standards and real-world usage
• To achieve this, I developed and executed a series of benchmark tests using a custom Python script, enabling a detailed analysis of each database's efficiency and scalability

• Built simulation tools using Python and ROS2 for monitoring security-critical drone systems, improving system reliability and performance
• Automated data collection and analysis for drone control systems using Python, ROS2 and Airsim, reducing the time required for experimental setups
• Collaborated with international teams to align research objectives with regulatory standards and safety protocols in the drone industry
• Collaborated remotely with local teams via BigBlueButton (BBB) and GitLab to ensure smooth communication and version control

• Developed and maintained software solutions in Java for various research projects, automating workflows and improving the efficiency of data collection and analysis processes
• Utilized version control systems using Subversion (SVN), ensuring seamless collaboration and traceability of code changes between multiple research teams
• Extended MS Excel functionalities with VBA Excel to support colleagues in time registration and data management
• Designed and implemented modular applications using the MVC architecture pattern, ensuring scalability and maintainability of research tools
• Implemented automated testing using JUnit to ensure software stability, reducing bugs and errors and improving the reliability of research outputs
• Followed the V-Model XT method for software development, adhering to structured and systematic processes to meet project requirements and quality standards
• Collaborated with teams using SharePoint for documentation and Subversion (SVN) for version control, streamlining code management across multiple research projects
• Utilized Eclipse IDE for efficient development and debugging of Java-based research applications, accelerating the development cycle
• Automated Excel workflows with custom VBA macros, saving significant manual effort and improving the accuracy of time registration processes for team members
• Worked independently to deliver high-quality software solutions that supported various research initiatives, demonstrating strong problem-solving skills and self-management