Max Fischer is a Machine Learning Engineer based in Zurich with 8 years of cross-industry experience turning research-grade models into production systems. With a Master’s in machine learning and an industrial engineering background, he has built and deployed real-time computer vision solutions—most notably a U-Net segmentation pipeline for slag detection in mining that led to a peer-reviewed paper. At xorlab he continues to bridge applied ML and product needs, drawing on prior roles in gaming RL research and diverse consulting engagements across security, retail, and automotive. He’s comfortable mentoring non-technical stakeholders and has repeatedly led end-to-end projects from prototyping to customer roll-out, combining hands-on engineering with practical business sense. An underappreciated strength is his ability to translate complex models into operational workflows that deliver measurable industrial impact.
8 years of coding experience
3 years of employment as a software developer
Industriell ekonomi - Machine learning and artificial intelligence, Industriell ekonomi - Machine learning and artificial intelligence at Linköpings universitet
Naturvetenskap med utlandsstudier, Naturvetenskap med utlandsstudier at Nacka Gymnasium
Canterbury Collage, Kent, United Kingdom
Exchange program, Computer science and business, Exchange program, Computer science and business at 한양대학교
Contributions:212 commits, 27 pushes, 13 comments in 7 months
diy-solutionsmarinediykicadcnc-machine
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.