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.
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