Tasks:                     Architecture, implementation, testing, strategy

Details:                    eSports platform for unity games on Android and iOS, Webpage, Player management, Analytics, Gameplay.

Technology:            Unity, C#, PlayFab, Bubble.io, JavaScript.

Project team size:    2-3

Tasks:                     Implementation, architecture, testing, DevOps

Details:                    Deployment to cloud. Setup CI/CD pipeline, REST API. Cloud security, IoT security, Testing pyramid.

Technology:            Java, Spring Boot, AWS, ElasticBeanstalk, Jenkins, CloudWatch, PostgreSQL.

Project team size:    5-7

Tasks:                     Implementation, architecture, testing, DevOps

Details:                    Deployment to cloud. Logging / metrics. Cloud security, IoT security, Testing pyramid. Software for IoT device. CI/CD.

Technology:            Java, Docker, Spring Boot, AWS, Elasticsearch, Kibana, OpenShift, NodeJS, VueJS, GitLab, Linux, Filebeat, Metricbeat, Shell.

Project team size:    25-30

Tasks:                     Implementation, requirement analysis, testing

Details:                    Improvement of several GUI components. Model-View-Presenter Pattern (Unit-Testability)

Technology:            Java, Swing, AWT, JUnit, Mockito, IntelliJ, Git, Jira, UML, Bitbucket, Source Tree.

Project team size:    2-3

Tasks:                     Idea, concept, supervision of prototype development

Details:                    Modularization of Java source code (2.5 Mio LOC). Dependency-Analysis. Supervision of prototype development

Technology:            Java, Maven, Ant, IntelliJ, Git, Jira, Jenkins, UML

Project team size:    2-3

• Concept and implementation of framework for GUI menu items making it modular for different applications and different components in C++. Used design patterns: Bridge and Model-View-Presenter.
• Restructuring of a large codebase (3 Mio LOC) into modules including change of include paths in C++ using Python scripts.
• Change of build behavior from transitive to intransitive linking of projects in C++ using CMake using Python scripts.
• Development of a concept for modular architecture of existing large codebase including dependency rules and interface design using UML in C++.
• Creation of Architectural Description of modular architecture.
• Script to detect dependency violations for all commits that triggered automatic email notification mechanism in Python.
• Determining dependency level for projects using Tarjan’s Algorithm for DAG’s in Python.
• Internal consultant for scrum team on architecture relevant topics.
• Workshops to entire development team (60 people) on e.g. Single Responsibility Principle, Observer Pattern using boost::signals.
• Architecture workshops for new developers.
• Development and introduction of concept for weak code ownership (including code review conventions) for entire source code and script for email notifications in Python.
• Implementation of several features including GUI extensions with Qt in C++.
• Implementation of Unit Tests and Integration Tests in C++ (TUT) and Python (unittest).

• Static code analysis (C++) using cppDepend.
• Improvement of build time by optimization of Incredibuild parameters.
• Analysis of tools to enhance productivity of developers (e.g. googletest, clangformat).
• Examination of used persistence mechanism in C++.
• Successful stabilization of buggy framework by applying “Convention over Configuration” principle in C++.
• Evaluation of Mercurial, Git as substitute for SVN.
• Support tasks to replace STL_port by STL.
• Development environment: VisualStudio and PyCharm.

• Improvement of algorithm (better convergence behavior) in C.
• Elaboration and implementation of concept for better representation of physical laws and real conditions in C.
• Testing of new features of AutoForm software.
• Development environment: LINUX and Eclipse CDT.

• Improvement of pattern recognition algorithm (
• 100 times faster, higher accuracy) of 1D-spectrum in JAVA.
• Implementation of heuristics algorithm (Simulated Annealing) to find near-best solution of Travelling-Salesman-Problem with additional constraints in JAVA.
• Implementation of strategy pattern for usage of different algorithms in JAVA.
• Elaboration of evaluation function for optimization algorithm based on physical and chemical laws (cooperation with chemists and physicists).
• Entire algorithm for fully automatic analysis of 2D-NMR spectrum in JAVA.
• Measurement and analysis of electronic pulses. Post-processing using Fast-Fourier-Transformation algorithm in MATLAB.
• Quantum mechanical simulation of NMR analysis using MATLAB.
• Gathering requirements for computer-assisted program of NMR spectrum analysis.
• Implementation of Unit Tests using JUnit.
• Implementation of several GUI features using Swing.
• Reading and writing of XML files.
• Development environment: Eclipse.