Engineering background with 3+ years of experience in Data Engineering and Machine Learning. Production experience building forecasting systems on Azure Databricks, owning the full ELT and ML lifecycle from data ingestion to model deployment. Passionate about building scalable data platforms and solving real-world problems with intelligent systems.
Currently based in Düsseldorf, Germany and actively seeking full-time opportunities in Data Engineering, MLOps, and Databricks Platform Engineering roles.
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Download Resume (English) Lebenslauf herunterladen (Deutsch)Production-grade energy forecasting pipeline built on Databricks with DLT, MLflow, and Unity Catalog. Fully automated dev-to-prod deployment using Databricks Asset Bundles (DABs) and CI/CD.
View on GitHubMaster's thesis project: End-to-end MLOps framework combining LSTM & LightGBM with MILP solvers. Achieved 57.1% solver runtime reduction at 98% optimality using ML-predicted warm-start bounds.
View on GitHubMSc project (12 ECTS): Simulated renewable generation and flexible load dispatch using VPPLib. Implemented operational strategies for cost-effective consumer energy management.
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