Yan Romanikhin
Backend EngineerMachine Learning at Google
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
Machine Learning at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Yandex School of Data Analysis
Computer Science
January 1, 2012 – January 1, 2014
Lomonosov Moscow State University (MSU)
Mathematics
January 1, 2007 – January 1, 2012
Google DeepMind
Software Engineer
November 1, 2024 – Present
Switzerland · On-site
Software Engineer
February 1, 2022 – Present
Zurich, Switzerland
Software Engineer, Machine Learning
October 1, 2020 – December 1, 2021
Greater London, England, United Kingdom
Booking.com
Data Scientist Product
November 1, 2019 – August 1, 2020
Amsterdam, North Holland, Netherlands
Joom
Machine Learning Engineer
July 1, 2018 – September 1, 2019
Moscow, Moscow City, Russia
Mail.Ru Group
Research Engineer & Team Lead
April 1, 2013 – June 1, 2018
Moscow, Moscow City, Russia
MITx 8.01.1x: Mechanics: Kinematics and Dynamics
edX
June 24, 2026 – Present
Fundamentals of Reinforcement Learning
Coursera
June 24, 2026 – Present
MITx 8.01.3x: Mechanics: Rotational Dynamics
edX
June 24, 2026 – Present
Build Basic Generative Adversarial Networks (GANs)
Coursera
June 24, 2026 – Present
MITx 8.01.2x: Mechanics: Momentum and Energy
edX
June 24, 2026 – Present
Prediction and Control with Function Approximation
Coursera
June 24, 2026 – Present
Practical Reinforcement Learning
Coursera
June 24, 2026 – Present
Sample-based Learning Methods
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked at several large, globally recognized tech companies, suggesting experience in structured, high-performance environments. The focus on AI/ML roles indicates a specialized career path. While the experience is impressive, the direct alignment with a general 'Backend Engineer' role is not explicitly detailed in terms of core backend development skills (e.g., distributed systems, API design, database management outside of ML contexts). The lack of project details makes it difficult to assess diversity beyond ML applications.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.