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LLM Research (Gemma) @ Google DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My current mission is to build the best Gemma open weights model. Previously, I've worked on solving research grade mathematics with LLMs (and Lean), pre-training large-scale computer vision architectures and unsupervised generative modeling for natural images. In my academic career, I focused on statistical learning theory, particularly data-dependent generalization error and excess risk bounds, and related mathematical tools from probability and combinatorics.
Computing Centre of Russian Academy of Sciences (CCRAS)
Ph.D. student, Computer Science
January 1, 2010 – January 1, 2014
Lomonosov Moscow State University (MSU)
The Specialist degree, Applied Mathematics
January 1, 2005 – January 1, 2010
Google DeepMind
Senior Research Scientist
July 1, 2018 – Present
Zürich, Schweiz
Max Planck Institutes Tübingen
Postdoc
November 1, 2014 – July 1, 2018
Tubingen, Germany
Skolkovo Institute of Science and Technology
Teaching Assistant
January 1, 2013 – January 1, 2013
Lomonosov Moscow State University
Teaching Assistant
September 1, 2012 – July 1, 2013
Moscow
Moscow Institute of Physics and Technology (State University) - MIPT, Phystech
Lecturer
September 1, 2011 – June 1, 2012
Kaspersky Lab
Senior Research Developer
September 1, 2010 – November 1, 2014
Moscow, Russia
Computing Centre of Russian Academy of Sciences (CCRAS)
Ph.D student
September 1, 2010 – October 1, 2014
Moscow, Russia
Kaspersky Lab
Analyst
June 1, 2008 – October 1, 2009
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and advanced machine learning engineering, particularly in LLMs and statistical learning theory. While highly technical, the target role of 'Data Analyst' might not fully leverage their deep research expertise. The project diversity is limited to research initiatives, and there's no explicit mention of typical data analyst responsibilities like dashboarding, A/B testing, or business intelligence. This suggests a potential mismatch with a standard Data Analyst role, though their analytical rigor is undeniable.
Soft Skills & Operational Fit
The candidate's resume highlights roles as a team lead and teaching assistant, suggesting leadership, mentorship, and communication skills. The research-heavy background implies strong analytical thinking and problem-solving abilities. However, specific operational fit for a Data Analyst role, beyond research, is not explicitly detailed.