Summary
Florian Verhein is a Senior Applied Scientist in Seattle with over a decade of experience building ML and data science solutions at Amazon and in finance, combining deep learning, causal inference and large-scale statistical engineering to improve product catalog quality. He leads and mentors teams that blend practical ML (including LLMs and extreme classification) with clever statistical tooling to estimate impact and detect bias across massively skewed, noisy datasets without relying on costly manual labels. A founding member of Amazon’s Machine Learning Office Hours and cofounder of internal experimentation leagues, he pairs technical leadership with stakeholder-facing consulting to move projects from prototype to production. Earlier roles building low-latency trading ML systems and custom big-data clusters reflect his hands-on systems and software engineering chops across Python, Scala, Spark and AWS. Unusually, his background also spans performance arts and dual doctoral work in data mining, giving him a creative, multidisciplinary approach to problem solving.
11 years of coding experience
10 years of employment as a software developer
Ludwig Maximilian University of Munich
The University of Sydney
English, German