Summary
Quentin Popp is a software engineer with a decade of experience currently working on fleet learning for automated driving at Mercedes‑Benz AG in Germany. He blends practical engineering with domain knowledge in automotive machine learning systems, helping production vehicles learn from fleet data to improve driving autonomy. Comfortable operating at the intersection of software, data, and embedded systems, he focuses on turning complex sensor and model data into reliable, deployable features. Quentin’s background suggests an ability to work within large, safety-critical organizations while keeping a hands-on developer mindset.
10 years of coding experience