Aleksandr Chuklin
Research Engineer at Google DeepMind
Zürich Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolAleksandr Chuklin is a research engineer with 13 years of experience building and measuring search and conversational AI, currently training state-of-the-art LLMs at Google DeepMind in Zürich. His work spans end-to-end product impact—from improving question-answering and voice suggestions on Google Assistant to deploying RLHF, SFT, DPO and reward models for Gemini post-training. He blends strong research roots (PhD-level training and earlier work on click models and A/B testing at Yandex) with practical engineering that has influenced millions of users. Known for organizing conversational AI workshops and authoring a tutorial on text-editing models, he brings both community leadership and hands-on innovation. An underappreciated strength is his track record of turning offline evaluation and dashboards into measurable UX gains in production systems.
13 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of AmsterdamMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)Master of Science - MS Computer Science, Master of Science - MS Computer Science at Yandex School of Data Analysis
English, German, German, French, Russian, Ukrainian, Japanese
Stackoverflow
488reputation
19kreached
11answers
1question
Github Skills (41)
multiple-selection10
sublime-text10
yandex10
python-scripts10
search-engine9
information-retrieval9
cli8
tmux8
telegram8
vim8
bash8
neovim8
unix8
jupyter7
fzf7
Programming languages (8)
Github contributions (5)
DeepPavlovAdmin/scai17
Jun 2017 - Apr 2021
Contributions:280 commits, 1 PR, 237 pushes in 3 years 10 months
varepsilon/clickmodels
Jan 2013 - Jun 2018
ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
Contributions:60 commits, 2 pushes, 5 comments in 5 years 5 months
information-retrievalpython-scriptssearch-engineyandex
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