Konrad Szafer
Research Assistant at ETH Zürich
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolKonrad 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
English, Polish
Github Skills (36)
pytorch10
language-model10
python10
machine-learning10
imputation10
multimodal10
llm10
audio10
time-series-forecasting10
deep-learning10
natural-language-processing10
transformer10
speech-recognition10
evaluation-framework10
nlp10
Programming languages (3)
Github contributions (5)
huggingface/lm-evaluation-harness
Apr 2024 - Jun 2024
A framework for few-shot evaluation of language models.
Contributions:27 reviews, 10 PRs, 88 pushes in 2 months
language-model
KonradSzafer/hugging-face-qa-bot
Feb 2023 - Mar 2023
QA Bot for Hugging Face documentation to accelerate development within the ecosystem.
Contributions:1 release, 44 commits, 51 PRs in 24 days
huggingfacechatbotquestion-answeringinformation-retrievalvector-database
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