Summary
Ralf Kaestner is a Senior ML Engineer based in Zurich with 18 years of experience bridging academic research and industrial machine learning at institutions including ETH Zurich, IBM Research Zurich and Apple. He holds a Doctor of Sciences in Robotics, Systems, and Control from ETH Zurich and has a strong track record in robotic perception, SLAM, and applied ML, moving ideas from European research projects into production-grade software. At Apple he applies research-grade rigor to scalable ML systems, building on prior roles leading DARPA-related change-detection work at Stanford and advanced perception projects at IBM. Beyond algorithms, Ralf brings practical systems skills—Linux/cloud administration, software engineering and student supervision—enabling him to shepherd projects from prototypes to deployable services. A detail that sets him apart is his long history of cross-disciplinary contributions, from AFM tip reconstruction publications to autonomous robotics and space-flight data systems.
18 years of coding experience
12 years of employment as a software developer
Abitur (University-entrance diploma), Mathematics, Chemistry, 1.0/A+, Abitur (University-entrance diploma), Mathematics, Chemistry, 1.0/A+ at Georg-Samuel-Dörffel Gymnasium
Doctor of Sciences, Robotics, Systems, and Control, Doctor of Sciences, Robotics, Systems, and Control at ETH Zurich
Diploma, Computer Science, 1.2/A+ (with distinction), Diploma, Computer Science, 1.2/A+ (with distinction) at TU Ilmenau
English, German, French