Summary
Christian Staudt is a freelance data scientist and machine learning engineer based in Hamburg with 13 years of experience bridging research-grade algorithms and production software. He holds a PhD from KIT and spent years as a doctoral researcher in parallel computing, developing graph algorithms for large complex networks—expertise he now applies to high-performance data analysis and scalable ML solutions. Comfortable across algorithm design, data mining, and software engineering, he takes on contract roles that require both rigorous research thinking and pragmatic engineering. His background in high-performance computing makes him especially adept at turning computationally intensive prototypes into efficient, deployable systems.
13 years of coding experience
4 years of employment as a software developer
Doktor der Naturwissenschaften (Dr. rer. nat.) (= PhD), Computer Science, Doktor der Naturwissenschaften (Dr. rer. nat.) (= PhD), Computer Science at Karlsruhe Institute of Technology (KIT)
Diplom (= MSc), Computer Science, Diplom (= MSc), Computer Science at Karlsruher Institut für Technologie (KIT)
English, German, Italian, Spanish