Konrad Szafer is a research-focused machine learning engineer and data scientist with six years of industry and academic experience, currently a Research Assistant at ETH Zürich while pursuing a Master's in Artificial Intelligence. He has driven LLM evaluation work at Hugging Face and worked on research projects at Carnegie Mellon, combining practical engineering at companies like MIKRONIKA and Britenet with rigorous academic inquiry. Comfortable bridging experimentation and production, he has experience across ML model development, evaluation, and data-driven systems. Based in Zurich, he brings a European engineering background in automation, control and robotics to contemporary AI problems. An understated strength is his cross-domain adaptability—moving between industrial embedded software and cutting-edge LLM research—making him effective at turning research insights into deployable solutions.
6 years of coding experience
3 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Poznan University of Technology
Contributions:29 pushes, 1 branch in 1 year 9 months
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