Dan Graur
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolDan Graur is a software engineer at Google DeepMind, currently advancing Gemini Multimodality. He earned a PhD in Computer Science from ETH Zurich, focusing on systems for machine learning and data management. Based in Zurich, Switzerland, his nine-year career spans roles at ETH Zurich, Google, and research labs at TU Delft and Cluj-Napoca. His path blends rigorous academic training with hands-on industry experience, including multiple Google research internships and a steady progression to DeepMind. With expertise in distributed systems and data-centric ML tooling, he applies a practical, auditable approach to building scalable AI infrastructure.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at ETH Zurich & TU DelftBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Technical University of Cluj NapocaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
English, Romanian, French, German
Github Skills (71)
python10
transmission10
agent-based-simulation10
streaming10
peer10
discovery10
bittorrent10
tor10
simulation10
transport10
overlay10
flexibility10
torrent9
identity9
peer-to-peer9
Programming languages (4)
Github contributions (5)
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
An Open Source Machine Learning Framework for Everyone
Contributions:1 review, 352 commits, 2 PRs in 1 year 7 months
pythondata-sciencedeep-learningmachine-learningframework-learning
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