Benjamin Tsapfack

• • Participation in the conception and specification of business requirements in close coordination with the business department

• • Execution, evaluation, and revision-proof documentation of manual test cases within structured test processes

• • Analysis, tracking, and management of deviations (defects) in collaboration with the business department and application development

• • Consulting and support in the introduction and expansion of test automation

• • Conception and implementation of automated test cases with Robot Framework using Selenium and Playwright libraries

• • Identification of suitable manual test cases and transfer into stable, maintainable automated test procedures

• • Development and further development of automated UI test tracks with Robot Framework (Selenium, Playwright) to ensure regression capability, skills=[]

• • Led the development and implementation of comprehensive test strategies for digital railway projects, thereby improving project outcomes.

• • Collaboration with teams in defining methodical test approaches to enhance test coverage and efficiency.

• • Management of team roles and responsibilities to ensure effective and goal-oriented test execution.

• • Development of integration and system tests according to specifications and standards to ensure quality.

• • Further development of the infrastructure for automated test environments to enable robust test systems.

• • Testing of AI-based algorithms for event detection using generative AI, improving detection accuracy.

• • Creation of detailed test cases for internal and cooperative use within the company, supporting device manufacturers.

• • Execution of performance and load tests to ensure system stability and scalability.

• • Ensuring compliance with standards such as Cenelec, EN50126, and EN50128 to maintain project integrity.

• • System environment: Codebeamer, Polarion, Jira, Confluence, Python, Cypress, Pytest, Scrum, Terraform, REST API, Replit, OpenAI, Azure DevOps, skills=[]

• • Development and implementation of machine learning models for customer segmentation to improve targeted marketing strategies.

• • Supported the system migration from Postbank to Deutsche Bank, seamlessly integrating and adapting data structures.

• • Utilization of DevOps practices and CI/CD to streamline development and deployment processes, improving efficiency.

• • Testing and deployment with CI/CD

• • System environment: Jenkins, SAS, DB Developer, SQL, DB2, Jira, Confluence, CDWH, Python, skills=[]