Summary
Cristian Ivan is a machine learning engineer with a PhD in physics and 15 years of research experience translating complex data problems into production-ready computer vision and signal-processing solutions. He moved from particle physics analyses at CERN and GSI—where he specialized in Monte Carlo simulations and multidimensional optimization—to industrial AI roles applying deep neural networks, quantization, and embedded DSP. At Bosch he focuses on bringing efficient, quantized vision models to constrained hardware, building on prior C++ algorithm work for scientific instruments and embedded audio. Comfortable across high-performance grid computing, visualization, and deep learning, he blends rigorous academic methods with pragmatic engineering to ship robust models. A less obvious strength is his track record of turning large-scale physics toolchains into lean, real-world algorithms for edge and instrument-level deployment.
8 years of coding experience
8 years of employment as a software developer
Physics, Physics at Eberhard-Karls-Universität Tübingen / University of Tuebingen
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Utrecht
Stephan Ludwig Roth Lyceum
Engineer's degree, Physics, Engineer's degree, Physics at University of Bucharest
Romanian, German, English, Dutch