Summary
Lina Weichbrodt is a pragmatic machine learning consultant and freelance engineer with 12 years of experience building production-ready ML systems across industries from finance to travel and media. She has led ML teams and shipped low-latency recommender and personalization models at Zalando, delivered high-impact risk and pricing models at Deutsche Kreditbank, and rapidly prototyped end-to-end vision, NLP, and embedding solutions for startups and scale-ups. Lina excels at translating business problems into robust, operational ML products—favoring intermediate, reusable outputs (e.g., vision tags) that unlock new product features and marketing signals. Comfortable across the stack, she implements models, data pipelines, and deployment (Python, FastAPI, GCP, Docker, Terraform) and provides MLOps guidance to organizations and incubator teams. Based in Berlin, she combines academic rigor with a hands-on, results-driven style and is active in the MLops community and open-source spaces.
12 years of coding experience
9 years of employment as a software developer
Master Master of Science in Business Computing, Master Master of Science in Business Computing at Otto-von-Guericke University Magdeburg
Bachelor Economics and Business Administration, Bachelor Economics and Business Administration at Katholische Universität Eichstätt-Ingolstadt
English, French