I’m a Software Engineer at IQM Quantum Computers (Munich) working on Calibration Automation for superconducting quantum processors. My work focuses on graph-based calibration frameworks, scalable Python systems (multiprocessing), and building reliable software as quantum systems scale in size and complexity.
IQM Quantum Computers — Software Engineer (Calibration Automation)
- Developing and maintaining a graph-based calibration automation framework for superconducting QPUs
- Designing and improving calibration graphs for initial calibration and continuous recalibration
- Building scalable Python systems using multiprocessing to support increasing system sizes
- Contributing to framework-level architectural decisions for robustness and performance
Fraunhofer ISI — Master Thesis (Multi-Agent Systems)
- Built a modular LLM-based Multi-Agent System with scalable orchestration
- Benchmarked multiple agent frameworks and improved performance through evaluation-driven iterations
BMW Group — Software Engineering Intern (Quantum Software)
- Contributed to the open-source QUARK framework for quantum/classical applications
- Improved code quality, dependency stability, and testing coverage
SAP — MLOps Working Student
- Improved Azure DevOps pipelines and automated resource cleanup
- Built a voice-enabled chatbot (Python + SAP BTP GPT)
Fraunhofer IIS - Student Research Assistant
- Recommendation System Development: Contributed to advanced recommendation system, improving patient treatment planning precision by 20%.
- Data Analysis Enhancement: Enhanced data analysis capabilities using Python, increasing analytical efficiency by 30%.
- Improved prediction accuracy and reliability by implementing and fine-tuning a Random Forest Classifier, achieving a 15% boost in model performance.
- Integrated mlflow for model transparency and reproducibility, ensuring consistent workflow documentation.
- Fostered teamwork by establishing a well-maintained GitLab code repository, improving collaboration and code quality by 25%
Retorio - Working Student in Quality Assurance
- Designed and developed test automation frameworks using Puppeteer and Jest, reducing test execution time by 40%.
- Integrated automation frameworks with GitLab CI, enhancing testing efficiency by 35%.
- Conducted manual testing to identify bugs and issues, improving platform stability by 25%
- Scripted test cases in JavaScript, ensuring 95% test coverage
- Reported daily performance metrics to the development team lead, ensuring timely delivery of high-quality scripts
- Documented test procedures and results, facilitating future reference and ensuring reproducibility
IBM - Software Developerb>
- Conducted UI automation testing and DevOps using Puppeteer,JavaScript, and Ansible, reducing manual testing efforts by 60%.
- Developed automated test scripts using Puppeteer, JavaScript, Jest, Allure, and Python, increasing test coverage by 50%.
- Built a new automation framework for IBM Cloud Pak for Data, improving test efficiency by 45%
- Analyzed test results daily, improving defect detection rate by 30%.
- Mentored team members and participated in code reviews, enhancing code quality by 25%
- Developed use cases, user interface specifications, and user requirement documents, ensuring clear and precise project documentation
- Generated reports using Allure framework, improving transparency and communication with stakeholders
- Attended daily scrum meetings, actively sharing risks and roadblocks, and ensuring smooth project progress
| Degree | Institution | Timeline |
|---|---|---|
| M.Sc Data Science | FAU Erlangen-Nürnberg | 2022-2025 |
| B.Tech Computer Science & Engineering (Honours) | APJ Abdul Kalam TU | 2017-2021 |
- BenchQC — Scalable and modular benchmarking of industrial quantum computing applications (2025)
✨ “Learning never exhausts the mind.” – Leonardo da Vinci
✨ If you like my work, feel free to ⭐ a repository — it helps a lot!