Michaël Karpe is a Senior Data Scientist at Spuerkeess, specializing in Artificial Intelligence, Machine Learning, and Generative AI for Financial Services since August 2024. Prior experience includes serving as a Machine Learning Scientist at Next Gate Tech, where notable achievements included implementing AutoML pipelines for high-accuracy financial entity classification and researching embeddings generation techniques. Michaël also worked as a Quantitative Developer, enhancing the capabilities of financial reports and automating data processing. Earlier roles included a capstone project at J.P. Morgan, and positions at BNP Paribas Asset Management, where Michaël developed predictive models for client savings data and created a successful Q&A chatbot, as well as a summer role at Groupe Crédit Agricole. Educational credentials include a Master of Engineering from the University of California, Berkeley, and a Diplôme d'Ingénieur from École nationale des ponts et chaussées, alongside preparatory studies in mathematics and physics.
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