Professional Profile
About & CV.
MSc Computer Science student and AI/ML engineer — building multi-agent LLM systems that automate the testing behind complex software.
I work where generative AI meets real engineering — building multi-agent LLM systems that automate the testing behind complex software.
MSc Computer Science candidate at Universität Paderborn and a Student Assistant at dSPACE GmbH, where I develop a multi-agent, LLM-based pipeline for automated AutomationDesk test-case generation on the ADSS product. Earlier I cut a neural-network model's compute by 37% in research. I like systems that are both intelligent and reliable.
Experience
Built a neural-network model incorporating hyperbolic equations — improving prediction accuracy while cutting computational processing time by 37%, using NumPy and Keras for performance.
Education
Focused on machine learning, generative AI, and intelligent systems.
Grade 1.5 / 5.0. Foundations in software, algorithms, and applied computing.
Skills & Stack
AI & Machine Learning
Languages
Libraries & Frameworks
Testing & Automation
Tools & Platforms
Languages
The full picture
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