With over 10 years of experience across Data Engineering, AI Research, Cloud Architecture, and enterprise-grade analytics platforms, I help organizations transform complex data into strategic value. My career spans roles as a Data Analytics Architect, AI Innovation Engineer, Lecturer, and Industrial Engineer, giving me a unique blend of technical depth, architectural vision, and business understanding.
I have designed and led the implementation of a enterprise-wide AI projects with strategic value, delivered innovative machine-learning solutions for Industry 4.0, and shaped enterprise data governance, quality, and compliance frameworks. My PhD research focused on advanced machine‑learning methods for industrial time-series data, combining academic rigor with real-world engineering impact.
Today, as a Freelance AI Architect & AI Developer, I help companies build scalable, secure, and future-proof AI ecosystems — from cloud-native architectures to ML pipelines, MLOps automation, and AI-driven optimization.
{
"cloud": ["Azure", "AWS"],
"data_engineering": ["Databricks", "Delta Lake", "DLT", "Spark", "Pyspark"],
"ai_frameworks": ["LangChain", "AutoGen", "TensorFlow", "Keras", "Scikit-learn"],
"languages": ["Python", "JAva", "SQL"],
"analytics": ["Synapse", "PowerBI", "´MS Fabric"],
"devops": ["Git", "Docker", "Terraform", "Ansible]
}
Email: stefan.gaugel@gmx.net
Phone: +49 1578 8348966
Location: Munich, Germany