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Joel Akeret is a highly experienced Principal Machine Learning Engineer at ti&m, focusing on developing computer vision models for digital onboarding solutions. Additionally, Joel serves as a Lecturer at the University of Applied Sciences and Arts Northwestern Switzerland FHNW, teaching Advanced Natural Language Processing. Previously, Joel held roles as Lead Machine Learning Engineer at OTO Systems, where development of acoustic models for speaker identification was a key responsibility, and as Lead Data Scientist at Zühlke Group, focusing on machine learning model development and lifecycle automation. Experience also includes research as a Computer Scientist at ETH Zürich, specializing in large-scale statistical data analytics and machine learning techniques. Joel's career began as a Software Engineer at UBS, where the development of a holistic advisory platform was a notable contribution. Educational qualifications include a Master of Science in Computer Science from FHNW and a Bachelor of Science in Computer Science from ZHAW Zurich University.