Data Engineer · Computer Scientist · Builder
Connecting The Dots
I build the infrastructure that turns raw data into insights.
From data platform engineering and machine learning to industrial computer vision systems.
About Me
I'm a Data Engineer and Computer Scientist from the Ruhr Area, Germany. I started programming early — building websites for friends and family, tinkering with stock market data — and never stopped.
I hold a B.Sc. and M.Sc. in Computer Science from Ruhr University Bochum, with a focus on software engineering and machine learning. After graduating, I spent time in the chemical industry applying computer vision to real-world challenges and handling various kinds of chemical data. Then my journey led me into the transport & logistics industry as a Platform Data Engineer — building on Databricks and Azure to enable entire teams to get maximum value from their data.
In parallel, I co-founded Validatix — a platform that makes industrial data trustworthy and interpretable for both humans and machines.
What I Do
My work spans the full data stack — from cloud infrastructure to production ML systems.
Data Platform Engineering
Designing and operating scalable, cloud-native data platforms on Databricks and Azure. Enabling teams to build reliable pipelines and get maximum value from their data.
Machine Learning & Computer Vision
Building and deploying production-grade ML models with PyTorch and TensorFlow. Applied computer vision experience in industrial quality control and environmental monitoring.
Data Engineering & ETL
Ingesting, transforming, and modeling data at any scale — from simple pipelines to complex multi-source architectures — so researchers and business teams can trust what they see.
Infrastructure & Automation
Automating infrastructure deployments, securing data assets, and keeping platforms stable, reproducible, and production-ready.
Professional Journey
B.Sc. & M.Sc. Applied Computer Sciences
Ruhr University BochumSpecialized in software engineering and machine learning with a strong emphasis on computer vision. Covered the full ML spectrum from classical statistical methods to deep learning architectures.
Data Scientist & Data Engineer
Chemical IndustryDeployed computer vision models on real-world industrial use cases — ensuring process quality, product consistency, and environmental compliance. Built data engineering pipelines using on-premises and cloud technologies, handling process and analytical data to deliver actionable insights to chemists and process experts.
Platform Data Engineer
CurrentBuilding and operating a Databricks platform on Azure that empowers developer and business teams to derive value from data at scale. Driving platform innovation, automating infrastructure deployments, securing data assets, and ensuring teams always have access to the latest, responsibly-deployed tooling. Presented at a Databricks-hosted user group event, sharing best practices with the broader community.
Projects & Ventures
Validatix
Co-founded a platform that creates trustworthy data for humans and machines. Validatix specializes in analyzing and contextualizing thousands of sensor data streams for industrial plants and machinery.
Learn moreEvents & Speaking
Databricks User Group Speaker
Presented on orchestration of data pipelines on Azure Databricks within multi workspace data platform for large-scale logistics operations. Shared insights with the community on our approach and best practices.
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