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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Saint Petersburg State University
Master of Science (M.S.), Mathematics
January 1, 1999 – January 1, 2004
Mail.Ru Group
Machine Learning Engineer
August 1, 2017 – Present
Moscow, Moscow City, Russia
YADRO (KNS GROUP LLC)
Computer vision group lead
December 1, 2015 – August 1, 2017
Intelcomline
Developer/senior developer
July 1, 2010 – December 1, 2015
NTS
.NET developer
October 1, 2008 – June 1, 2010
Cupra VMS
January 1, 2009 – Present
A powerful and functional VMS with a cool UI. Able to integrate with everything, and work with thousands of devices and systems from a single point.
Cultural Fit Analysis
The candidate has a strong background in research and development within large tech companies (Mail.Ru Group, YADRO, Intelcomline). The project diversity, ranging from voice assistants to video analytics and simulation systems, indicates adaptability. However, the target role is 'Backend Engineer' while the experience is heavily skewed towards ML/CV. This might represent a slight misalignment, though many backend principles are transferable. The personal project 'Cupra VMS' aligns with previous VMS experience.
Soft Skills & Operational Fit
The candidate's experience in leading a computer vision group and participating in large-scale projects suggests good collaboration and problem-solving skills. However, without specific psychometric test results, a detailed assessment of soft skills and operational fit is limited.