Summary
Steven Zimmerman is a Senior NLP Research Scientist based in Vienna with 11 years of experience applying language technologies to search, document understanding, and risk mitigation. He holds a PhD in Computer Science focused on preventing harms from web search, and has translated that research into industrial practice across multiple roles at Shell where he now leads NLP work for search. His expertise spans AI system evaluation, human-AI interaction, information extraction from geological documents, and pragmatic data-science engineering for production. Steven combines rigorous academic methods with hands-on implementation—having built NER and disambiguation tooling during earlier research and internship roles—and a track record of turning evaluation-driven insights into safer, more useful search experiences. He brings a multidisciplinary background (meteorology/atmospheric sciences through to big-data text analytics) that helps him reason about complex, real-world data and user risk in creative ways. Colleagues value him for bridging research and delivery to improve both model behavior and end-user outcomes.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Meteorology, Aeronautical Science, Business, Bachelor’s Degree, Meteorology, Aeronautical Science, Business at Embry Riddle Aeronautical University
Master of Science (MSc), Computer Science - Big Data and Text Analytics, Master of Science (MSc), Computer Science - Big Data and Text Analytics at University of Essex
Atmospheric Sciences, Atmospheric Sciences at Cornell University
English, German