Building intelligent systems at the intersection of AI and industrial automation. Transforming manufacturing through data.
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Building predictive models and intelligent systems for industrial applications using modern ML frameworks.
Designing robust data pipelines and infrastructure for enterprise-scale analytics and processing.
Implementing smart manufacturing solutions and IoT-driven process optimization.
Architecting and deploying large language model solutions for enterprise applications.
Enhancing manufacturing efficiency through data-driven decision making.
Expert proficiency in modern ML frameworks and scientific computing tools.
Leading industrial data science initiatives and large language model implementations. Architecting and developing the BREOS-Core-Industrial platform for next-generation manufacturing intelligence.
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.
Universität Duisburg-Essen
Universität Duisburg-Essen
Universität Duisburg-Essen
Synergistic Components for a Successful I4.0 Approach in Investment Casting
Duktiler Gusseisenrohre
Methods and Best Practices
Digitalisierung in der Gießereiindustrie
Interested in discussing data science, industrial AI, or collaboration opportunities.
felix@salen.tech