Summary
Louis Kiesewetter is a data scientist based in Vienna with six years of experience building production-ready ML and data engineering solutions across fast-paced, agile teams. He blends MLOps, backend development, and statistical modeling to deliver robust pipelines and interpretable analytics, and played a key role in Finmatics’ record-setting AI startup exit in Austria. His work spans NLP (including BERT-based pipelines and sentiment analysis), multimodal LLM research, and interactive visualization, reflecting a practical focus on turning research prototypes into scalable products. Comfortable in cross-cultural environments from exchanges in China to EU industry teams, he pairs technical depth with strong communication and product-oriented instincts.
6 years of coding experience
Exchange Student, Computer Science and Business Administration, Exchange Student, Computer Science and Business Administration at 华南理工大学
Master's degree, Wirtschaftsinformatik, Master's degree, Wirtschaftsinformatik at Humboldt-Universität zu Berlin
Bachelor's degree, Technologie- und Managementorientierte Betriebswirtschaftslehre, Bachelor's degree, Technologie- und Managementorientierte Betriebswirtschaftslehre at Technische Universität München