Senior Data Scientist crafting intelligent solutions at the intersection of AI and industrial automation
With a doctorate in engineering and extensive experience in data science, I specialize in transforming industrial processes through intelligent automation. My work focuses on developing cutting-edge solutions that merge traditional engineering principles with modern AI capabilities.
Currently leading industrial data science initiatives at BREOS GmbH, I'm passionate about pushing the boundaries of what's possible in manufacturing optimization, predictive maintenance, and process intelligence.
Leading industrial data science initiatives and large language model implementations. Architecting and developing BREOS-Core-Industrial platform.
Data-driven optimization of foundry processes for energy efficiency and waste reduction. Developed and implemented Industry 4.0 strategies for manufacturing SMEs.
Developed predictive models for casting defect diagnosis using machine learning. Created performance indicators for casting process optimization.
Pioneered predictive maintenance solutions for packaging machinery. Programmed edge devices using FreeRTOS for real-time cloud communication.