Ivan Lobov
Staff Research Engineer at Google DeepMind
Paris, Ile-de-France, United Kingdom
Summary
👤
Senior🎓
Top SchoolIvan Lobov is a Staff Research Engineer with 11 years of experience building large-scale ML systems, currently working on Gemini Text Diffusion at Google DeepMind. He transitioned from journalism into machine learning and specializes in combinatorial optimization, graph neural networks, and productionizing research for real-world impact. At DeepMind he led a team creating LLM-powered tools for chip design and was a core developer of NeuralDiving, a neural approach that outperformed classical solvers inside Google. Previously at Criteo he engineered billion-scale graph and SVD pipelines that powered cross-client recommendations and open-sourced a highly scalable SVD implementation. Based in Paris, he blends deep research instincts with pragmatic engineering and a track record of turning experimental models into deployed systems.
11 years of coding experience
10 years of employment as a software developer
Lomonosov Moscow State University
English, russia, French
Github Skills (35)
nearest-neighbors9
python9
similarity9
machine-learning9
deep-learning9
clustering9
cosine-similarity9
tensorflow8
neural-network8
theano8
data-science7
similarity-search7
deep-q-learning7
q-learning7
nearest-neighbor-search6
Programming languages (4)
Github contributions (5)
criteo-research/tensorflow_approximate_top_k
Nov 2018 - Jan 2019
Contributions:6 commits, 6 pushes, 1 branch in 2 months
Ivanopolo/Avazu_Code
Mar 2015 - Mar 2015
Contributions:7 commits, 7 pushes, 1 branch in 1 day
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