Michael Heinzer

Michael Heinzer is an experienced machine learning engineer with a robust background in computer vision, artificial intelligence, and mathematics. Beginning with a Bachelor of Science in Computer Science from the University of Applied Sciences Western Switzerland and a Bachelor of Science in Mathematics from the University of Fribourg, Michael further advanced education with a Master of Science in Mathematics from ETH Zürich. Professional experience includes roles as a Summer Intern at IMTF SA and student researcher at Lawrence Berkeley National Laboratory, followed by a quant intern position at Stone Milliner Asset Management. Michael's most significant contributions as a Machine Learning Engineer at Scandit involved applying deep learning techniques for mobile applications, and currently, as a Senior Machine Learning Engineer at Google, responsibilities include tackling large-scale image understanding challenges and leveraging cutting-edge generative models for improved machine learning outcomes. Additionally, Michael has interned in deep learning research at Panasonic, focusing on autonomous driving applications.