Sharlin Utke

Sharlin Utke is an Applied Scientist at Amazon, where they design and deploy foundation model workflows for time series analysis and develop evaluation frameworks for large language models. Previously, Sharlin served as a Visiting Researcher at Università Bocconi, guiding research in Natural Language Processing to detect deceptive language in earnings calls. They have also held positions as a Data Scientist at Mediengruppe RTL Deutschland and a Visiting Data Scientist & Associate at BCG GAMMA. Sharlin is currently a PhD candidate at the University of Warwick, focusing on the extension of Reinforcement Learning to multi-agent systems. They hold a Master of Science in Data Science from Università Bocconi and a Bachelor of Science in Business Administration & Economics from Universität zu Köln.