Summary
Samuel Andermatt is a Senior Software Engineer with 12 years of experience combining top-tier academic research and production ML systems engineering. After earning a PhD at ETH Zürich with publications in journals like Nature, he joined Google to improve NLU quality, latency, and cost in Google Assistant before transitioning to LLM work on Gemini and later DeepMind, focusing on retrieval quality and model evaluation. He builds bridges between rigorous research and scalable product engineering, translating novel algorithms into production-ready systems. Based in the Zürich metropolitan area, he brings deep expertise in large-scale simulation code from his PhD (CP2K) to modern retrieval and evaluation pipelines. Not immediately obvious from his title, he has repeatedly delivered order-of-magnitude performance gains—first in quantum-chemistry simulations and later in search integration and retrieval.
12 years of coding experience
11 years of employment as a software developer
Doctor of Science - PhD, Doctor of Science - PhD at ETH Zürich
Certificate of Advanced Studies (CAS), Informatik (Information Systems), Certificate of Advanced Studies (CAS), Informatik (Information Systems) at ETH, Swiss Federal Institute of Technology
German, English, French