Malte Barth is a Berlin-based data scientist with 8 years of hands-on experience building data pipelines, ML systems and analytics for startups and larger organizations. He has moved fluidly between roles—from founding technical learning-space products to implementing RAG-ready data architectures and evaluation datasets for finance and health-tech AI agents. His recent work includes leading AI engineering at an early-stage health startup where he designed extensible agent architectures and observability for LLM voice agents, and data engineering for RAG applications orchestrated with Airflow. Malte combines a formal Data Engineering MSc from HPI with design-thinking training, enabling him to blend technical rigor with user-centered product development. He often focuses on shipping production-ready data infrastructure and measurable metrics rather than just model prototypes. Curious and pragmatic, he prefers solving real-world operational data problems that make services more usable and equitable.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Data Engineering, Master of Science - MS, Data Engineering at HPI
D-School Advanced Track, Design Thinking, D-School Advanced Track, Design Thinking at Hasso Plattner Institute
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