About
I work at the intersection of quality assurance, medical device software, and applied AI. My experience includes regulatory-grade testing (system/integration/regression), performance testing, QA-driven security validation, and CI/CD automation.
Experience
Software QA Engineer — Carl Zeiss Meditec AG
- Test planning/design & execution (unit, integration, regression, GUI) in Polarion.
- Integration testing with external devices; system testing for laser-treatment workflows.
- Performance testing for scalability, stability, response time under load.
- QA-driven security testing (authn/authz, secure error handling).
- CI/CD pipelines with Jenkins; defect tracking in Jira/DevOps tools.
System Engineer — Tata Consultancy Services
- Prototyped predictive & generative ML methods; image segmentation collaboration.
- Test-driven development in OOP software engineering using agile methods.
- Preprocessed, fine-tuned and deployed Gen-AI/LLM pipelines (text-to-image).
Education
M.Sc. Digital Engineering (Computer Science) — Bauhaus-Universität Weimar
- Project: Web-based Human–AI Collaboration Tool
- Publication: Image Generation with Argument-Aspect Fusion
- Deep learning with CUDA + PyTorch; Blender-based image processing
B.Tech Mechanical Engineering — KIIT University
- Thesis: Design & development of a formula-style race car prototype
Publications
Skills
PythonJavaMATLABC#Linux
SeleniumUFTPolarionJiraJenkins
DockerJUnitJMeterOWASP
Computer VisionPyTorchOpenCV
ML: SVM, Decision Trees, Logistic Regression, k-NN
DL: Transformers, CNN, RNN, LSTM, GAN, YOLO
Languages
- English — IELTS C1
- German — B1