Master’s student in Computational Modeling and Simulation (Applied AI) at TU Dresden with a strong foundation in Computer Science (AI/ML).
I focus on building end-to-end machine learning systems, spanning data ingestion, feature engineering, model development, evaluation, and deployment.

My technical interests lie at the intersection of machine learning, deep learning, data engineering, and cloud-native systems. I fiddle around primarily with structured data, designing scalable pipelines and production-ready models that can be integrated into real business and industrial workflows.
Alongside modeling, I actively work on data visualization and dashboard development to make model outputs interpretable and usable for technical and non-technical stakeholders.

I am particularly interested in applied AI for industrial domains such as automotive, aviation, and manufacturing, where reliability, reproducibility, and system integration matter more than experimentation alone.