Dan Graur

Senior Research Engineer at Google DeepMind

Zurich, Zurich, Switzerland
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Summary

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Senior
🎓
Top School
Dan Graur is a Senior Research Engineer at Google DeepMind with a decade of experience building large-scale ML systems and a PhD in Computer Science from ETH Zurich. He has been a core contributor to Gemini Multimodality and previously tackled input bottlenecks and predictive indexing during multiple research internships at Google. His background spans systems, distributed data pipelines, and ML framework work—from tf.data and Flax to production research—reflecting a blend of research rigor and production impact. Dan’s academic work produced novel methods in multiple instance learning and he has a history of cross-institutional collaboration (ETH, TU Delft, Technical University of Cluj Napoca) that underpins his ability to bridge theory and engineering. Notably, he moved from doctoral research into influential roles on cutting-edge multimodal models, demonstrating both deep technical depth and product-oriented delivery.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at ETH Zurich & TU Delft
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Technical University of Cluj Napoca
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at ETH Zürich
languagesEnglish, Romanian, French, German
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Github Skills (44)

simulation10
python10
overlay10
privacy10
bittorrent10
tor10
streaming10
identity9
anonymity9
agent-based-simulation9
p2p9
jax9
machine-learning8
multi-agent8
networking8

Programming languages (4)

JavaC++Jupyter NotebookPython

Github contributions (5)

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DanGraur/py-ipv8

May 2018 - Sep 2019

Python implementation of the IPv8 layer
Contributions:209 pushes, 21 branches in 1 year 3 months
pythonipv4python-implementationipv6subnet
eth-easl/cachew

Oct 2020 - May 2022

ML Input Data Processing as a Service. This repository contains the source code for Cachew (built on top of TensorFlow).
Contributions:1 review, 352 commits, 2 PRs in 1 year 7 months
machine-learningtensorflow
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