I am a master’s student in Information and Communication Technology at TU Darmstadt, currently focusing on communication algorithms. With over two years of experience in Quality Assurance (QA) and software testing, I have developed strong expertise in both manual and automated testing processes. I have successfully reduced manual testing efforts by 30% through automated test cases and optimized defect tracking using tools like Jira and ALM Octane. My work involves close collaboration with developers to ensure high-quality software delivery.
During my tenure at L&T Technology Services as a Test Automation Engineer, I conducted over 100 manual and automated tests per release for infotainment systems and voice assistants in German and English. I created and maintained more than 200 detailed test cases, including regression tests, which enabled faster and more reliable software rollouts. I tracked and managed over 150 software defects with a 95% resolution rate within deadlines.
I have experience automating recurring test cases using TAF, Selenium, and ECU-TEST, which significantly reduced manual efforts. Additionally, I developed and optimized SQL-based test data solutions, cutting data preparation time by 20%. I also created insightful dashboards and reports for stakeholders to support better decision-making. Recently, I have incorporated AI-based testing methods that improved test case creation efficiency by 15%.
My technical skills include manual testing, test documentation, and proficiency with QA tools such as Jira, Confluence, ALM Octane, Selenium, TAF, and ECU-TEST. I am familiar with programming languages including Python, C/C++, Java, SQL, HTML, and CSS. I also have knowledge of networking protocols like TCP/IP, UDP, WebSocket, and tools like Wireshark. I am comfortable working in Windows and Linux environments and have experience with Git and Agile methodologies such as Scrum and Kanban.
I am highly motivated, structured, and responsible in my work approach. My intercultural team skills have been strengthened through international project experience. I am passionate about creative problem-solving and implementing technical solutions that enhance software quality and efficiency.
Previously, I worked as a working student/intern at Digital Seas, where I handled over 300 IT support tickets for teams in Munich and Seoul, adhering to SLA requirements. I analyzed and resolved system issues in Windows and mobile environments, reducing downtime by 25%. I also documented and tracked incidents in Jira Service Desk, which helped decrease recurring problems by 15%.
Focus on communication algorithms. Relevant courses: Communication networks, network planning and optimization, data science, machine learning.
Thesis: Development of a classification system using convolutional neural networks (CNN) for automated detection of plant diseases from image data. GPA equivalent: 1.75/4 (converted to German grading scale).
Conducted 100+ manual and automated tests per release for infotainment systems and voice assistants (German/English). Created and maintained 200+ detailed test cases including regression tests. Tracked and resolved 150+ software defects in Jira and ALM Octane with a 95% fix rate within deadlines. Automated recurring test cases using TAF, Selenium, and ECU-TEST, reducing manual effort by 30%. Developed SQL-based test data solutions reducing preparation time by 20%. Created dashboards and reports for stakeholders. Implemented AI-based testing methods improving test case creation efficiency by 15%.
Handled 300+ IT support tickets for teams in Munich and Seoul, meeting SLA requirements. Analyzed and resolved system issues in Windows and mobile environments, reducing downtime by 25%. Documented and tracked incidents in Jira Service Desk, reducing recurring problems by 15%.
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